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  <doc>
    <id>195</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>155</pageFirst>
    <pageLast>162</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>23</volume>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-21</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Can Aggregate Production Planning (APP) be modified to be as good as Master Production Scheduling (MPS)</title>
    <abstract language="deu">In diesem Beitrag wird anhand einer Fallstudie die Bedeutung der Hauptproduktionsprogrammplanung (HPPLAN) für die hierarchische Produktionsplanung herausgearbeitet werden. Dazu wird versucht das Ergebnis der aggregierten Gesamtplanung (AGGRPLAN) durch Veränderung einzelner Paramater so zu verbessern, dass es dem Ergebnis der HPPLAN entspricht. Im Rahmen der Untersuchungen konnten dabei Verbesserungen für einzelne Planungssituationen erzielt werden, eine generelle Lösung konnte jedoch nicht gefunden werden. Insbesondere der Einsatz eines geeigneten Kapazitätsreduktionsfaktors in Verbindung mit der Berücksichtigung der Durchlaufzeit führt zu einer Verbesserung der Lösung. Bei der Planung von mehr als einem Produkt ist allerdings schwierig einen geeigneten Kapazitätsreduktionsfaktor zu finden, da dieser abhängig von der Nachfrage ist.</abstract>
    <parentTitle language="eng">ACC Journal</parentTitle>
    <identifier type="doi">10.15240/tul/004/2017-2-012</identifier>
    <enrichment key="ConferenceStatement">The 13th International Conference Liberec Economic Forum, 11th - 13th September 2017, Liberec, Czech Republic, EU</enrichment>
    <author>Thorsten Vitzthum</author>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Hierarchische Produktionsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fertigungsprogrammplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fallstudie</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Hierarchical production planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Aggregate production planning (APP)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Master production scheduling (MPS)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Material requirement planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Resource profiles</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>198</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>315</pageFirst>
    <pageLast>324</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-21</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Einfluss von Mitarbeiterqualifikationszeiten im Rahmen nachhaltiger Produktionsplanung</title>
    <abstract language="eng">This research paper evaluates the potential of reducing shortages and  costs that are created by training measures as an example for  measurement of extended qualification of key employees in sustainable production planning. Capacity planning with standard methods in  Enterprise Resource Planning Systems, namely priority rules, are used.  Almost always, the optimal solution is not found, although there is  one. In addition, unnecessarily high stocks are built up. In real  business situations, this causes lost profits.</abstract>
    <parentTitle language="deu">Simulation in Produktion und Logistik 2017, Kassel, 20.-22. September</parentTitle>
    <additionalTitle language="deu">Influence of Employee Qualification Times in the Context of Sustainable Production Planning</additionalTitle>
    <identifier type="url">http://www.asim-fachtagung-spl.de/asim2017/papers/Proof_111_Vitzthum.pdf</identifier>
    <enrichment key="ConferenceStatement">17. ASIM-Fachtagung: Simulation in Produktion und Logistik</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <author>Thorsten Vitzthum</author>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Enterprise-Resource-Planning</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Produktionsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Betriebliche Fortbildung</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>2490</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation>European Council for Modelling and Simulation</contributingCorporation>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Employment of temporary workers and use of overtime to achieve volume flexibility using master production scheduling: monetary and social implications</title>
    <abstract language="eng">Flexibility and in particular volume flexibility is an important topic for industrial manufacturing companies. In this context, the harmonization of the available and required capacity is a central task, especially with increasing fluctuations in customer demand. In classical approaches , this is considered only by the use of additional capacities and there are only a few approaches that combine aspects of personnel planning with production planning. Therefore, this article presents a linear optimization model for master production scheduling that includes aspects of personnel requirements planning. It is used to investigate different strategies for the use of overtime and temporary workers in order to achieve different levels of volume flexibility. With regard to the monetary and social impacts, the results indicate that overtime has a stronger influence to achieve volume flexibility than the use of temporary workers. However, both are affected by substantial deficits in human working conditions. But the results also imply a promising potential for improving the social aspects without a significant increase in costs.</abstract>
    <parentTitle language="eng">Proceedings of the 35th ECMS International Conference on Modelling and Simulation (ECMS 2021): May 31st-June 2nd, 2021, United Kingdom</parentTitle>
    <identifier type="isbn">978-3-937436-72-2</identifier>
    <identifier type="doi">10.7148/2021-0213</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-24906</identifier>
    <enrichment key="opus.import.date">2022-01-21T12:31:59+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Marco Trost</author>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/2490/0213_simo_ecms2021_0017.pdf</file>
  </doc>
  <doc>
    <id>2481</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>287</pageFirst>
    <pageLast>293</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>European Council for Modelling and Simulation</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Influence of Company Sizes in adapted Master Production Scheduling for Improving Human Working Conditions</title>
    <abstract language="eng">Sustainability is an important topic in production plan-ning and control. This article contributes in particular the to further research on the social dimension. It pre-sents a linear optimisation model for Master Produc-tion Scheduling in order to improve human working conditions. Existing approaches have already identified a considerable potential for improvements. Further-more, this article analyses the influence of the compa-ny size on workload and costs using an application with a high proportion of manual activities. It is demonstrat-ed that human working conditions can be improved independently from the company size without increas-ing costs. In addition, smaller companies tend to have a higher exhaustion and the workload affects the total costs more in smaller companies. Therefore, smaller companies might benefit more from an improvement in human working conditions.</abstract>
    <parentTitle language="deu">Proceedings of the 34th International ECMS Conference on Modelling and Simulation, ECMS 2020</parentTitle>
    <identifier type="isbn">978-3-937436-68-5</identifier>
    <identifier type="doi">10.7148/2020-0287</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-24817</identifier>
    <enrichment key="opus.import.date">2022-01-21T12:31:59+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Marco Trost</author>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>company size</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cost reduction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>exhaustion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>linear optimisation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>master production scheduling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>workload</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/2481/0287_simo_ecms2020_0018.pdf</file>
  </doc>
  <doc>
    <id>2480</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>334</pageFirst>
    <pageLast>340</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation>European Council for Modelling and Simulation</contributingCorporation>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Deviation in Energy Consumption on Aggregate Production Planning Level in Industry Practice</title>
    <abstract language="eng">In this article, we discuss energy consumption of producing firms on aggregate production planning. While almost constant energy consumption can be the case for a producing firm, highly fluctuating energy demand can occur as well. Together with volatile energy supply, e.g. due to renewable energy sources, this combination of fluctuating energy supply and demand can result in planning uncertainty and high energy costs. We propose different case studies in which such high deviation in the electricity consumption of a producing firm occurs due to aggregate production planning without appropriate consideration of energy consumption.</abstract>
    <parentTitle language="eng">Proceedings of the 34th International ECMS Conference on Modelling and Simulation (ECMS 2020)</parentTitle>
    <identifier type="isbn">978-3-937436-68-5</identifier>
    <identifier type="doi">10.7148/2020-0334</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-24804</identifier>
    <enrichment key="opus.import.date">2022-01-21T12:31:59+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Hajo Terbrack</author>
    <author>Frank Herrmann</author>
    <author>Thorsten Claus</author>
    <collection role="ddc" number="670">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/2480/0334_simo_ecms2020_0080.pdf</file>
  </doc>
  <doc>
    <id>2353</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>36</pageFirst>
    <pageLast>40</pageLast>
    <pageNumber/>
    <edition/>
    <issue>12</issue>
    <volume/>
    <type>article</type>
    <publisherName>AKWI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A literature database on ecological sustainability in hierarchical production planning</title>
    <abstract language="eng">This article describes a systematic literature search of research articles on the topics of ecological sustainability and production planning. Over 900 research articles deal intensively with these topics. These articles were catalogued and included in a database. They can be evaluated with an analysis tool, developed by the research group. The tool is available free of charge via a website of the research group.</abstract>
    <parentTitle language="deu">Anwendungen und Konzepte der Wirtschaftsinformatik</parentTitle>
    <identifier type="issn">2296-4592</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-23539</identifier>
    <identifier type="url">https://akwi.hswlu.ch/article/view/3281</identifier>
    <enrichment key="opus.import.date">2022-01-14T10:19:11+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International</licence>
    <author>Hajo Terbrack</author>
    <author>Ingo Frank</author>
    <author>Frank Herrmann</author>
    <author>Thorsten Claus</author>
    <author>Marco Trost</author>
    <author>Matthias Götz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Database</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sustainability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ecology</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Production Planning</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/2353/Literature_database_Herrmann_2020.pdf</file>
  </doc>
  <doc>
    <id>200</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>97</pageFirst>
    <pageLast>103</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>27</volume>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-21</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Exploring Opportunities</title>
    <abstract language="eng">Motivated by the increasing share of renewable energy in the markets for energy commodities, this study has evaluated the potential for optimizing production planning by taking into account disposable options for procuring energy, in this case electricity. For this purpose, a material flow simulation study extended by an electricity price simulation has been executed to examine possible cost scenarios. Our findings support the notion of a potential for further research in new optimization models involving energy procurement as well as energy trading options</abstract>
    <parentTitle language="eng">Simulation Notes Europe (SNE), Special Issue: Simulation in Production and Logistics: Impact of Energetic Factors</parentTitle>
    <subTitle language="eng">Optimizing Production Planning by Factoring in Energy Procurement and Trading Options</subTitle>
    <identifier type="doi">10.11128/sne.27.tn.10375</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-2007</identifier>
    <author>Maximilian Selmair</author>
    <author>Marc Hanfeld</author>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Materialflussplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Energiebedarf</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Optimierung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Simulation</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
    <collection role="oaweg" number="">Diamond Open Access - OA-Veröffentlichung ohne Publikationskosten (Sponsoring)</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/200/sne_tn_2017272_hermann_OA.pdf</file>
  </doc>
  <doc>
    <id>232</id>
    <completedYear/>
    <publishedYear>2012</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferencepresentation</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-29</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A simulation analysis of Independent Requirements Consumption in Master Production Scheduling</title>
    <abstract language="eng">This  poster  presents  purpose  and  function  of  the  Independent  Requirements  Consumption  in Master Production Scheduling and gives recommendations for its application. The approach of hierarchical production planning and its planning problems are explained. The problem of new customer  requirements  information  between  planning  periods  and  solving  options  are  shown. The solving option of Independent Requirements Consumption is focus of this poster. The algorithm of the Independent Requirements Consumption that is implemented in commercial Enterprise Resource Planning (ERP) systems like the SAP system is analyzed. The methods for analyzing the effects of the Independent Requirements Consumption are outlined. The scenarios for simulation studies are stated and compared  to  similar  investigations.  The simulation studies were performed on a simulation  system  at IPF that contains both a production planning and control system and a production. The extent of simulation analyses outreaches similar investigations, especially because of the variety of scenarios. For scenarios in which capacity is available to a sufficient extent, advice for setting the Independent Requirements Consumption parameters is given. It is pointed out that with production constrained scenarios, the necessity to level out production  leads to problems. An algorithm to determine necessary  inventory levels is presented. It is stated that straight advice for  Independent Requirements Consumption parameter settings might not be possible with production constrained scenarios. Further analyses with production constrained scenarios as well as investigations concerning safety stocks in combination with Independent Requirements Consumption are current and future research topics at the Innovation Center for Production Logistics and Factory Planning.</abstract>
    <parentTitle language="eng">ASIM Workshop, Trends in Computational Science and Engineering (ASIM TCSE 2012), February 13-14, 2012, Vienna University of Technology, Austria</parentTitle>
    <author>Julian Englberger</author>
    <author>Frank Herrmann</author>
    <author>Thorsten Claus</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Produktonsplanung</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Simulation analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Independent Requirements Consumption</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Master Production Scheduling</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Enterprise-Resource-Planning</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Kundenorientierung</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>7893</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferencepresentation</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-01-18</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">An Optimization Model for Production Scheduling with Energy Consumption and Energy-related Emissions</title>
    <abstract language="eng">Due to the scarcity of resources, rising costs as well as the further need for ecological improvement in industrial production, firms are increasingly motivated to take into account energy consumption in production planning. Associated with this, the consideration of energy-related emissions is becoming an additional point of interest for decisionmakers in both, economic and ecological terms. Based on an extensive systematic literature review, the study at hand presents a multicriterial scheduling problem that addresses tardiness, energy consumption and energy-related emissions in production scheduling. A &#13;
model is introduced that takes into account job release dates, multiple machine states, a power demand threshold as well as time-varying emission conversion factors. Multiple case studies are analysed and the effects of different technological implementations as energy onsite generation and energy storage systems are evaluated. Furthermore, several price mechanisms regarding energy procurement and emission trading are discussed. Moreover, by coupling the optimization model&#13;
to a discrete event simulation model, we are able to compare the model results to real case scenarios. First computational experiments have demonstrated that the model and its extensions can effectively reduce the environmental impact associated with production while simultaneously considering corresponding economic objectives. Based on the proposed approach, our research aims on answering the question with which economic trade-offs an ecological improvement in terms of energy consumption and emission output can be achieved in production.</abstract>
    <parentTitle language="eng">OR 2022, International Conference on Operations Research 2022, September 6-9, 2022,  Karlsruhe</parentTitle>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Hajo Terbrack</author>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Production Scheduling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Energy Consumption</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>7890</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferencepresentation</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-01-18</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Aggregate Production Planning under Risk of Disruption</title>
    <abstract language="eng">In recent years, large scale disruptions to global supply chains, like the Covid pandemic, a ship blocking the Suez canal or sanctions against Russia, have caused production to slow down or even to stand still, causing shortages and massive losses for affected businesses. Even if only specific companies were originally affected, shortages and delays rippled along the supply network.&#13;
The established approach to deal with disruptions is to utilize safety stock and capacity to compensate for fluctuations in uncertain quantities like customer demand. This approach is tried and tested for small fluctuations. To address larger disruptions, like the above given, very high safety stock and capacity would be needed, which would lead to unnecessarily high costs.&#13;
Resilience has often been viewed as an expensive capability that drives costs. Recent studies however advocate for the development of lean resilience concepts, creating new capabilities, which enable resilience and can deal with large fluctuations, reimagining resilience from the perspectives of efficiency and value creation.&#13;
This contribution identifies gaps in current research and establishes structural deficits of approaches discussed in the literature regarding supply chains. Firstly, the need for rigorous, quantitative definitions of resilience and relevant disruptions is justified.&#13;
Then, a stochastic model for aggregate production planning that includes capabilities to compensate for such large fluctuations along several dimensions is proposed. Lastly, this model is then applied to a case study pertaining to a realistic supply chain under the risk of large scale disruptions and the results of this approach are evaluated.</abstract>
    <parentTitle language="eng">OR 2024, International Conference on Operations Research 2024, September 3-6, 2024, Munich</parentTitle>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Frank Herrmann</author>
    <author>Maximilian Schoen</author>
    <author>Thorsten Claus</author>
    <author>Chenghao Dai</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Supply Chain Resiliance</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Aggregate Production Planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Supply Chain Disruption</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>261</id>
    <completedYear/>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>631</pageFirst>
    <pageLast>640</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-02-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Simulation-based determination of capacity load factors for master production scheduling</title>
    <abstract language="eng">This paper deals with the problem of varying capacity load factors in master production scheduling. A simulation system of a production planning and control system and of a production system is described and an approach to compute the capacity loads from the simulation results is developed. This approach is used to measure period-specific capacity load factors for master production scheduling. The measured  capacity load factors vary over time and show that the common assumption of the load factors being period-independent is inappropriate. A stochastic programming model to cope with this variation is described. This model is compared to a common linear programming model for master production scheduling in a simulation experiment. The results show that the use of the measured capacity load factor scenarios improves the quality of the estimation of the capacity load factors significantly.</abstract>
    <parentTitle language="eng">Proceedings of the 15th International Conference on Simulation in Production and Logistics, October 9 - 11, 2013, Paderborn, Germany</parentTitle>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-2610</identifier>
    <author>Julian Englberger</author>
    <author>Frank Herrmann</author>
    <author>Thorsten Claus</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>PPS</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Kapazitätsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Stochastisches Modell</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/261/Proof_117_Englberger.pdf</file>
  </doc>
  <doc>
    <id>220</id>
    <completedYear/>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>741</pageFirst>
    <pageLast>747</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-29</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Simulation based clearing functions for a model of order release planning</title>
    <abstract language="eng">In capacitated production systems at high utilization there exists a nonlinear relationship between the orders which are in process and the output. This nonlinear relationship can be described by nonlinear Clearing Functions. We show how a Clearing function will be estimated and integrate it into a model of order releases planning. We compare our model with two inventory management policies under different demand conditions.</abstract>
    <parentTitle language="eng">Proceedings of the 27th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2013, Ålesund, Norway</parentTitle>
    <identifier type="doi">10.7148/2013-0741</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-2205</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <author>Frederick Lange</author>
    <author>Frank Herrmann</author>
    <author>Thorsten Claus</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>clearing function</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>linear programming</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>order release planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>simulation</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Auftragsabwicklung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Clearing function</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/220/ECMS_2013_Herrmann.pdf</file>
  </doc>
  <doc>
    <id>221</id>
    <completedYear/>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>794</pageFirst>
    <pageLast>800</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-29</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Simulation of robust  Master Production Scheduling in an industrially relevant planning environment</title>
    <abstract language="eng">This paper presents a simulation analysis on the effects of robust master production scheduling. Up to now, relatively highly aggregated planning models for robust master production scheduling were regarded and the realizability of the planning results was not considered. This paper analyses a more detailed model for master production scheduling than in previous works. The evaluation of the planning results is made by providing the planning results to the subsequent planning levels in a hierarchical production planning system and realizing them in a realistic production system. The primary objective of the production system is to minimise tardiness of customer order deliveries. The secondary objective is to minimise inventory of end products. It is shown that robust master production scheduling in such a planning system leads to significant reductions of tardiness of customer order shipment. Compared to an equivalent deterministic approach for master production scheduling, the mean customer order backlog is reduced more than the mean inventory levels are increased.</abstract>
    <parentTitle language="eng">Proceedings of the 27th EUROPEAN Conference on Modeling and Simulationn, May 27th - 30th, 2013, Ålesund, Norway</parentTitle>
    <identifier type="doi">10.7148/2013-0794</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <author>Julian Englberger</author>
    <author>Frank Herrmann</author>
    <author>Thorsten Claus</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Hierarchische Produktionsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Auftragsabwicklung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Optimierung</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>robust optimisation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>production planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>simulation</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>229</id>
    <completedYear/>
    <publishedYear>2012</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>Vol. 1(1)</volume>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-29</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Independent Requirements Consumption in Master Production Scheduling in an Uncapacitated Environment</title>
    <parentTitle language="eng">Informatics, Microsystems, Information Systems. Proceedings. 2012</parentTitle>
    <identifier type="isbn">9785733909301</identifier>
    <author>Julian Englberger</author>
    <author>Frank Herrmann</author>
    <author>Thorsten Claus</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Produktionsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Kundenorientierung</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>242</id>
    <completedYear/>
    <publishedYear>2010</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-31</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Simulation als betriebliche Entscheidungshilfe</title>
    <parentTitle language="deu">Ergänzungsband zu den Proceedings zur 14. ASIM Fachtagung "Simulation in Produktion und Logistik", vom 6. bis 8. Oktober 2010 am Karlsruher Institut für Technologie, Karlsruhe</parentTitle>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Produktion</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Logistik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Simulation</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Entscheidungsprozess</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>196</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>146</pageFirst>
    <pageLast>154</pageLast>
    <pageNumber/>
    <edition/>
    <issue>3</issue>
    <volume>23</volume>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-21</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Master Production Scheduling and the relevance of included social criteria</title>
    <abstract language="deu">Folgender Beitrag untersucht die Notwendigkeit einer Berücksichtigung von Mitarbeiterauslastungen und davon abhängiger Bearbeitungszeiten in der Hauptproduktionsprogrammplanung. Zudem wird aufgezeigt, dass dieses Themengebiet aktuell eine Forschungslücke darstellt. Aus diesem Grund wird ein selbst entwickeltes lineares Optimierungsmodell für die Hauptproduktionsprogrammplanung vorgestellt, welches soziale Kriterien und eine geeignete Fallstudie enthält. Die Ergebnisse verdeutlichen, dass erhebliche Abweichungen durch eine Ignoranz von Mitarbeiterauslastungen und davon abhängiger Bearbeitungszeiten entstehen. Deshalb ist eine Integration zu empfehlen. Allerdings wird auch deutlich, dass weitere Forschungen notwendig sind, speziell für die Bestimmung geeigneter Erschöpfungsfunktionen, so wie beispielsweise Funktionen für Lerneffekte existieren.</abstract>
    <parentTitle language="deu">ACC Journal</parentTitle>
    <identifier type="doi">10.15240/tul/004/2017-2-011</identifier>
    <enrichment key="ConferenceStatement">The 13th International Conference Liberec Economic Forum, 11th - 13th September 2017, Liberec, Czech Republic, EU</enrichment>
    <author>Marco Trost</author>
    <author>Enrico Teich</author>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fertigungsprogrammplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Personaleinsatz</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Lineare Optimierung</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sustainability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Production planning and control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Master production scheduling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Linear optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Human fatigue</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>174</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>310</pageFirst>
    <pageLast>316</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>33,1</volume>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-10</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Adapted Master Production Scheduling: Potential for Improving Human Working Conditions</title>
    <abstract language="eng">This article illustrates the problem of deficient working conditions like high work intensity and underlines the possibilities of production planning and control to improve them. However, an included literature search presents that previous approaches have predominantly considered social aspects within a short planning horizon and that there is a need for a long-term consideration. To address this research gap a linear optimization model for Master Production Scheduling is presented, which has been extended by basic aspects of personnel requirements planning and a control of personnel work intensity. The results show that improvements in working conditions can be achieved through adapted production planning without an automatically increase in costs. However , challenges in quantifying the corresponding social correlations are identified as well.</abstract>
    <parentTitle language="eng">Proceedings of the 33th European Conference on Modelling and Simulation 2019 (ECMS), Caserta, Italy</parentTitle>
    <identifier type="doi">10.7148/2019</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <author>Marco Trost</author>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Produktionsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Personalbedarfsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Lineare Optimierung</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Master Production Scheduling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sustainability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Work Intensity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Workload</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>201</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>71</pageFirst>
    <pageLast>80</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>25</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-21</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Ein lineares Optimierungsmodell zur Hauptproduktionsprogrammplanung mit Berücksichtigung sozialer Größen</title>
    <abstract language="deu">Aufgrund weniger existenter sozialorientierter Forschungen im Rahmen der Produktionsplanung und -steuerung stellt dieser Beitrag ein lineares Optimierungsmodell für die Hauptproduktionsprogrammplanung vor, welches soziale Kriterien berücksichtigt. Erste Ergebnisse deuten an, dass geringe Kosten nicht durch eine maximierte Mitarbeiterauslastung entstehen sondern durch geringe Kapazitätsschwankungen.</abstract>
    <parentTitle language="deu">uwf UmweltWirtschaftsForum</parentTitle>
    <identifier type="doi">10.1007/s00550-017-0454-7</identifier>
    <author>Marco Trost</author>
    <author>Enrico Teich</author>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sustainability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Social dimension</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Production planning and control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Master production scheduling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Linear optimisation</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Hierarchische Produktionsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fertigungsprogrammplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Personaleinsatz</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Lineare Optimierung</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>176</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>book</type>
    <publisherName>Springer Gabler</publisherName>
    <publisherPlace>Wiesbaden</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-10</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Kostensimulation</title>
    <subTitle language="deu">Grundlagen, Forschungsansätze, Anwendungsbeispiele</subTitle>
    <identifier type="isbn">978-3-658-25167-3</identifier>
    <identifier type="doi">10.1007/978-3-658-25168-0</identifier>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <author>Enrico Teich</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Kostenanalyse</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Simulation</value>
    </subject>
    <collection role="ddc" number="65">Management, Öffentlichkeitsarbeit</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>273</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-02-05</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Social and Ecological Capabilities for a sustainable Hierarchical Production Planning</title>
    <abstract language="eng">Production planning and production control mainly focus on optimising the entire production system of a company. On the basis of hierarchical planning as a suitable method for solving this task, this paper shows - besides the economic dimension taken into account so far - that there are also social and ecological effects which will have to be considered in the process of planning. For this purpose, we would like to indicate here which social and ecological parameters can be or have already been taken into account for master production scheduling, for lot sizing and resource scheduling. As a result, an overview has been created which presents the existing concepts of sustainable production planning and production control as well as the existing deficits regarding the sustainability perspective.</abstract>
    <parentTitle language="eng">Proceedings of the 30th EUROPEAN Conference on Modeling and Simulation (ECMS 2016), May 31st - June 3rd, 2016, Regensburg, Germany</parentTitle>
    <identifier type="doi">10.7148/2016-0432</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Marco Trost</author>
    <author>Thorsten Claus</author>
    <author>Enrico Teich</author>
    <author>Maximilian Selmair</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Hierarchische Produktionsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Soziale Verantwortung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Ökologie</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>production planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>hierarchical planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>social variables</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ecological variables</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sustainable hierarchical production planning</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>271</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-02-05</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Beitrag zur Abfallreduktion mittels mathematischer Optimierung und simulationsbasierter Validierung</title>
    <abstract language="eng">Perishable goods with a shelf life of 3-5 days require frequent inventory controls in the food retail trade. Maintaining a high service level for these products in stores is difficult due to demand uncertainty. A high service level often leads to a lot of stock in stores. In case it is not sold, it is waste. As an approach towards waste volume  reduction,  the  economic  order  quantity  (EOQ)  problem  is  optimised  in  combination  with  the  delivery  frequency  problem  on  the  basis  of  the  microperiods,  i.e.  morning,  midday,  afternoon,  and  evening.  The  presented  model  is  designed  for  multiple  stores  with  one  regional  warehouse.  The  simulation  model  measures  the  waste  volume  in  stores.  Experiments  show  that  the  combined  optimisation  of  both  problems leads to a reduction of total costs and waste volume.</abstract>
    <parentTitle language="eng">Proceedings of the 16th International Conference on Simulation in Production and Logistics, September 23 - 25, 2015, Dortmund, Germany</parentTitle>
    <subTitle language="eng">A contribution to the waste reduction by mathematical optimisation and simulation-based validation</subTitle>
    <identifier type="url">http://www.asim-fachtagung-spl.de/asim2015/papers/Proof_127_Janssen-V2.pdf</identifier>
    <author>Larissa Janssen</author>
    <author>Frank Herrmann</author>
    <author>Thorsten Claus</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Bestandsmanagement</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Bestellmengenplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Optimierung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Frischware</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>269</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>375</pageFirst>
    <pageLast>384</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-02-05</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Potential of Reducing the Total Energy Consumption by Scheduling a Jobshop Production System</title>
    <abstract language="deu">This research paper has evaluated the potential of reducing energy consumption by scheduling jobshop production systems with machines using standby modes in free times. The initial introduction of the planning issue is followed by a description of the approach to assess the available potential. Subsequently, the research procedure by means of simulation, a detailed discussion of the results and a perspective on future research is given. Moreover, the notion that scheduling influences the energy consumption in jobshop production systems is supported. The presented simulation research also documents that there is no direct correlation between energy consumption and total lead time, although this was presumed usually. Finally, this paper provides a forecast for a possible optimisation model as well as an exemplary model with an energy-optimised schedule plan.</abstract>
    <parentTitle language="eng">Proceedings of the 16th International Conference on Simulation in Production and Logistics, September 23 - 25, 2015, Dortmund, Germany</parentTitle>
    <author>Maximilian Selmair</author>
    <author>Frank Herrmann</author>
    <author>Thorsten Claus</author>
    <author>Enrico Teich</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Produktionsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Reihenfolgeproblem</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Energieverbrauch</value>
    </subject>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>274</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-02-05</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Job Shop Scheduling with Flexible Energy Prices</title>
    <abstract language="eng">The rising energy prices – particularly over the last decade – pose a new challenge for the manufacturing industry. Reactions to climate change, such as the advancement of renewable energies, raise the expectation of further price increases and variations. Regarding the manufacturing industry, production planning and controlling can have a significant influence on the in-plant energy consumption. In this paper, we develop a scheduling method as a linear optimization model with the objective to minimize energy costs in a job shop production system.</abstract>
    <parentTitle language="eng">Proceedings of the 30th EUROPEAN Conference on Modeling and Simulation, May 31st - June 3rd, 2016, Regensburg, Germany</parentTitle>
    <identifier type="doi">10.7148/2016-0488</identifier>
    <author>Maximilian Selmair</author>
    <author>Thorsten Claus</author>
    <author>Marco Trost</author>
    <author>Andreas Bley</author>
    <author>Frank Herrmann</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Job  Shop  Scheduling</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Flexible  Energy  Prices</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Energy Efficient Production Planning</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Energy Consumption</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Standby</value>
    </subject>
    <collection role="ddc" number="65">Management, Öffentlichkeitsarbeit</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
  <doc>
    <id>175</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>303</pageFirst>
    <pageLast>309</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>33,1</volume>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-10</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Sustainable Production Planning and Control: A Systematic Literature Review</title>
    <abstract language="eng">This article reviews the state of the art in research regarding sustainable extensions of hierarchical production planning. Sustainability is currently of considerable importance due to various interest groups. Hierarchical operational production planning and control is the state of the art in research as well as in industrial practice for planning of stations and their aggregations to production systems. Thus, it might be highly relevant to improve sustainability. In the literature mainly the scheduling level as well as the ecological dimension are considered. So the current research is limited to selected partial planning problems and incomplete with regard to sustainable aspects that emerge.</abstract>
    <parentTitle language="eng">Proceedings of the 33th European Conference on Modelling and Simulation 2019 (ECMS), Caserta, Italy</parentTitle>
    <identifier type="doi">10.7148/2019</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <author>Marco Trost</author>
    <author>Robert Forstner</author>
    <author>Thorsten Claus</author>
    <author>Frank Herrmann</author>
    <author>Ingo Frank</author>
    <author>Hajo Terbrack</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Produktionsplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Nachhaltigkeit</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Literaturbericht</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sustainability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Production Planning and Control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Review</value>
    </subject>
    <collection role="ddc" number="0">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="ddc" number="67">Industrielle Fertigung</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16316">Produktion und Systeme</collection>
  </doc>
</export-example>
