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  <doc>
    <id>203</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>13</pageNumber>
    <edition/>
    <issue>1</issue>
    <volume>4</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-22</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Using Optimization Models for Scheduling in Enterprise Resource Planning Systems</title>
    <abstract language="eng">Companies often use specially-designed production systems and change them from time to time. They produce small batches in order to satisfy specific demands with the least tardiness. This imposes high demands on high-performance scheduling algorithms which can be rapidly adapted to changes in the production system. As a solution, this paper proposes a generic approach: solutions were obtained using a widely-used commercially-available tool for solving linear optimization models, which is available in an Enterprise Resource Planning System (in the SAP system for example) or can be connected to it. In a real-world application of a flow shop with special restrictions this approach is successfully used on a standard personal computer. Thus, the main implication is that optimal scheduling with a commercially-available tool, incorporated in an Enterprise Resource Planning System, may be the best approach.</abstract>
    <parentTitle language="eng">Systems</parentTitle>
    <identifier type="doi">10.3390/systems4010015</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-2036</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <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>Lineare Optimierung</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Scheduling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Optimization model</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Real world application</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Enterprise resource planning system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Material requirements planning II</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Priority rules</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>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/203/Systems-201604_Herrmann.pdf</file>
  </doc>
  <doc>
    <id>190</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>1</pageFirst>
    <pageLast>11</pageLast>
    <pageNumber/>
    <edition/>
    <issue>9</issue>
    <volume/>
    <type>article</type>
    <publisherName>AKWI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-21</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Aufbau eines Templates zur Definition von Layout und Report-Anforderungen an einen internationalen ERP-Rollout</title>
    <abstract language="deu">Im Rahmen des Asian-Pacific-Shared-Service-(APSS)-Projekts der Krones Gruppe soll der Standort Thailand bis 2020 als ein Shared Service Center (SSC) etabliert werden und zentrale Back-Office Aufgaben für sechs neue Service- und Vertriebsniederlassungen im Raums Asien-Pazifik (APAC) übernehmen. Um das Konzept eines SSCs technisch umzusetzen, sollen voneinander unabhängige ERP-Systeme für jede einzelne der neu gegründeten Niederlassungen implementiert werden. Bisher basierte der Inhalt solcher ERP Rollout-Projekte für Tochtergesellschaften der Krones AG auf keinerlei Standard. Deshalb sollte durch die Schaffung eines softwaregestützten Templates zur Definition von Layout und Report Anforderungen die Implementierung internationaler ERP-Systeme nicht nur vereinfacht werden, sondern ebenfalls ein Standardfragenkatalog zur Abwicklung solcher Projekte innerhalb des Krones Konzerns eingeführt werden. Davon erhoffte man sich eine beschleunigte Implementierung der weiteren ERP-Systeme für das APSS-Projekt.</abstract>
    <parentTitle language="deu">Anwendungen und Konzepte der Wirtschaftsinformatik</parentTitle>
    <subTitle language="deu">am Beispiel eines Shared Service Center Projekts der Krones Gruppe</subTitle>
    <identifier type="url">https://akwi.hswlu.ch/article/view/3235</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-1907</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Enrico Antonio Galardo</author>
    <author>Frank Herrmann</author>
    <author>Fabian Scheubeck</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Enterprise-Resource-Planning</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Dienstleistungszentrum</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Implementation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Shared  Service</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Business  One</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Template</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ERP  Rollout</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SharePoint</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/190/AKWI_201909_Herrmann.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>186</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>21</pageFirst>
    <pageLast>27</pageLast>
    <pageNumber/>
    <edition/>
    <issue>8</issue>
    <volume/>
    <type>article</type>
    <publisherName>AKWI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-21</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">SAP S/4HANA als Enabler zur Smart Factory der AUDI AG</title>
    <abstract language="deu">Die zunehmende Digitalisierung der Fertigung führt zu einer zunehmenden Vernetzung von Maschinen, Werkstücken, Werkzeugen, Transporteinrichtungen usw. mit dem Ziel einer weitgehenden Selbstorganisation. Dies stellt zwangsläufig Anforderungen an die bisher verwendeten IT-Systemen zur Steuerung von Unternehmen. Enterprise Ressource Planning Systeme (ERP-Systeme) sind wegen ihres Einflusses auf Produktionsprozesse davon besonders betroffen. Zugleich sind sie wegen ihrer umfangreichen Unterstützung von anderen Unternehmensbereichen wie Controlling für Unternehmen sehr relevant. Dies führt bei ERP-System-Herstellern wie der SAP SE zu umfangreichen Erweiterungen. Mit diesem Projekt wird untersucht, in wie weit sich die neue Produktgeneration von SAP SE (SAP S/4HANA) als Enabler zur Smart Factory der AUDI AG eignet.</abstract>
    <parentTitle language="deu">Anwendungen und Konzepte der Wirtschaftsinformatik</parentTitle>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-1867</identifier>
    <identifier type="doi">10.26034/lu.akwi.2018.3223</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Frank Herrmann</author>
    <author>Nadine Heuberger</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Enterprise-Resource-Planning</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Digitalisierung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Industrie 4.0</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Smart Factory</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Industrie 4.0</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>SAP HANA</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>SAP S/4HANA</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Smart Factory</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/186/AKWI_201808_3_Herrmann.pdf</file>
  </doc>
  <doc>
    <id>223</id>
    <completedYear/>
    <publishedYear>2012</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>65</pageFirst>
    <pageLast>76</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>News &amp; Media</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-29</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Unterstützung einer selbststeuernden Planung durch eine geeignete Erweiterung des SAP Systems.</title>
    <parentTitle language="deu">Management und IT. Tagungsband zur AKWI-Fachtagung am 16.9.2012 an der Hochschule Pforzheim (FH)</parentTitle>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-2231</identifier>
    <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>PPS</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Auftragsabwicklung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>SAP R/3</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/223/AKWI_2012_Herrmann.pdf</file>
  </doc>
  <doc>
    <id>246</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">Einstellung von Losgrößenheuristiken in ERP- bzw. PPS-Systemen</title>
    <parentTitle language="deu">Proceedings zu den 7. Wismarer Wirtschaftsinformatik-Tagen vom 3.-4. Juni 2010 an der Hochschule Wismar</parentTitle>
    <author>Frank Herrmann</author>
    <author>Ulrike Stumvoll</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>PPS</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Enterprise-Resource-Planning</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Losgrößenplanung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Heuristik</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>149</id>
    <completedYear/>
    <publishedYear>2011</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>book</type>
    <publisherName>Vieweg+Teubner</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-01-09</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Operative Planung in IT-Systemen für die Produktionsplanung und -steuerung</title>
    <abstract language="deu">Die operative Planung in der Produktionslogistik besteht im Kern aus der Prognose von Bedarfen, dem Management von Lagerbeständen, der Planung des Produktionsprogramms, der Materialbedarfsplanung und der Fertigungssteuerung. Kommerziell verfügbare Enterprise Resource Planning-Systeme oder Produktionsplanungs- und -steuerungssysteme bieten hierfür sehr viele Verfahren mit vielen Einstellungsmöglichkeiten an, die in diesem Buch detailliert erläutert werden. Die ausführlichen Beispiele und Fallstudien erleichtern das Nachvollziehen der Einzelschritte dieser Verfahren. Die Alternativen haben zum Teil signifikante Auswirkungen auf Parameter wie Termineinhaltung, Durchlaufzeit und Kapitalbindung, die das Erreichen der Unternehmensziele maßgeblich beeinflussen. Zur Unterstützung von Anwendern wird die Wirkung dieser Einstellungsmöglichkeiten analysiert und es werden Hinweise bzw. Leitfäden zu ihrer Einstellung gegeben.</abstract>
    <subTitle language="deu">Wirkung, Auswahl und Einstellhinweise von Verfahren und Parametern</subTitle>
    <identifier type="doi">10.1007/978-3-8348-8172-4</identifier>
    <identifier type="isbn">978-3-8348-8172-4</identifier>
    <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>Operative Planung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>PPS</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>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>254</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>127</pageFirst>
    <pageLast>133</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>49</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-02-04</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">SIM-R/3: Softwaresystem zur Simulation der Regelung produktionslogistischer Prozesse durch das R/3-System der SAP AG</title>
    <abstract language="eng">State of the art in enterprises is the control of business processes by enterprise resource planning systems (ERP systems) such as the R/3 system of SAP AG. A typical task in the implementation phase of ERP systems consists in the choice of an appropriate lot sizing procedure and the setup of its parameters. The existing procedures do not deliver the best results for each business process. So, a business specific setup is required. Unfortunately, there is no knowledge of good parameter settings for typical business processes. Therefore, different parameter settings have to be tested out on real business processes over long periods (e. g. over several years). Of course, such an approach fails due to time restrictions. In addition, the literature argues that an automated software process — contrary to a physical process — is often never called in question or further optimized. An alternative offers a simulation of business processes which is controlled by an ERP system. In the laboratory of information science and production logistics (LIP) at the University of Applied Sciences, Regensburg, a pilot implementation of a system for simulating the control of production processes by the SAP R/3-System (SIM-R/3) was developed. SIM-R/3 allows such a simulation over long periods.</abstract>
    <parentTitle language="deu">Wirtschaftsinformatik</parentTitle>
    <identifier type="doi">10.1007/s11576-007-0034-5</identifier>
    <author>Frank Herrmann</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fertigungslogistik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Enterprise-Resource-Planning</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Simulation</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>SAP R/3</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>eM-Plant</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Regelung produktionslogistischer Prozesse</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Planungsverfahren und-parameter in ERP-Systemen</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>
</export-example>
