TY - CHAP A1 - Englberger, Julian A1 - Herrmann, Frank T1 - Estimating Capacity Load Factors in Master Production Scheduling by the use of Stochastic Optimization T2 - Tagungsband zu der Tagung Logistikmanagement 2013, 10. - 13. Oktober 2013, Bremen, Deutschland KW - Produktionsplanung KW - Ablaufplanung KW - Kapazitätsplanung KW - Stochastische Optimierung Y1 - 2013 ER - TY - CHAP A1 - Englberger, Julian A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - Independent Requirements Consumption in Master Production Scheduling in an Uncapacitated Environment T2 - Informatics, Microsystems, Information Systems. Proceedings. 2012 KW - Produktionsplanung KW - Kundenorientierung Y1 - 2012 SN - 9785733909301 VL - Vol. 1(1) ER - TY - CHAP A1 - Frank, Ingo A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - Improving sustainability through substitutes in cross-location production planning T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2019 (OR 2019), Dresden, September 3 - 6, 2019 KW - Produktionsplanung KW - Standortverlagerung KW - Nachhaltigkeit Y1 - 2019 ER - TY - JOUR A1 - Herrmann, Frank T1 - Using Optimization Models for Scheduling in Enterprise Resource Planning Systems JF - Systems N2 - 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. KW - Enterprise-Resource-Planning KW - Produktionsplanung KW - Lineare Optimierung KW - Scheduling KW - Optimization model KW - Real world application KW - Enterprise resource planning system KW - Material requirements planning II KW - Priority rules Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-2036 VL - 4 IS - 1 ER - TY - BOOK A1 - Herrmann, Frank T1 - Übungsbuch - Losbildung und Fertigungssteuerung BT - Aufgaben zur operativen Produktionsplanung und -steuerung N2 - Das Aufgabenbuch ergänzt die in Lehrbüchern erläuterten Verfahren der Losbildung und Fertigungssteuerung durch sehr detaillierte und präzise Lösungen. Losbildung und Fertigungssteuerung sind zentrale Kernelemente der operativen Produktionsplanung und -steuerung, insbesondere in kommerziell verfügbaren IT-Systemen. Daher sind diese Verfahren integrale Bestandteile von Veranstaltungen zur Produktion und Logistik, Produktionsplanung und -steuerungsysteme, Supply Chain Management usw. in Bachelor- und Masterstudiengängen an Hochschulen und Universitäten. Zu Beginn einer Lösung wird die verwendete Methodik soweit dargestellt, dass diese mit den in entsprechenden Vorlesungen gelehrten Inhalten ohne weitere Literatur verständlich ist. Einige Themen, wie die Betrachtung von knappen Kapazitäten und von schwankenden Durchlaufzeiten, gehen über den Inhalt von Standardlehrbüchern hinaus und dürften auch für Doktoranden interessant sein. KW - Produktionsplanung KW - Produktionssteuerung KW - PPS KW - Losgröße KW - Operative Planung KW - Aufgabensammlung Y1 - 2018 SN - 978-3-658-21567-5 U6 - https://doi.org/10.1007/978-3-658-21567-5 PB - Springer Fachmedien CY - Wiesbaden ER - TY - CHAP A1 - Herrmann, Frank T1 - Forecasting in production planning by adaptive exponential smoothing methods T2 - Proceedings of the 25th European Conference on Operational Research (EURO XXV), Vilnius, Lithuania, 8-11 July, 2012 KW - Produktionsplanung KW - Prognosemodell KW - Exponential smoothing Y1 - 2012 ER - TY - CHAP A1 - Herrmann, Frank T1 - Scheduling in case of a Partially Automated Production T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2016 (OR 2016), Hamburg, 30.8. - 4.9.2016 N2 - In recent years, a considerable amount of interest has arisen for scheduling problems with technological restrictions. For example, no-buffer flow-shop scheduling problem are well investigated. Here a real world flow shop with a transportation restriction is regarded. It has to produce small batches, very often with a lot size of one, with short response times. Thus, scheduling algorithms are needed to ensure that under the constraint of a high average load of the flow shop, the duedates of the production orders are met. This transportation restriction reduces the set of feasible schedules even more than the nobuffer restrictions discussed in the literature in the case of limited storage. Still this problem is NP-hard. Due to the transportation restriction, the duration of a job A on the flow-shop depends on the other jobs processedon the flow-shop in the same time frame which is called a cycle. Realistic processing times are achieved by a simulation of the scheduling of A which includes the next jobs until A has left the flow-shop. The usage of such realistic processing times instead of net processing times improves the priority rules by around 16%. There are pools of jobs where a large variance of the cycle times is beneficial and pools of jobs where a small variance is better. This is partially detected by agenetic algorithm. This improves the performance by another 34%. KW - Produktionsplanung KW - Ablaufplanung Y1 - 2016 ER - TY - BOOK A1 - Herrmann, Frank A1 - Manitz, Michael T1 - Materialbedarfsplanung und Ressourcenbelegungsplanung BT - Durchführung in Produktionsplanungs- und -steuerungssystemen und ihre Analyse KW - Materialbedarf KW - Produktionsplanung KW - Produktionssteuerung KW - PPS Y1 - 2017 SN - 978-3-658-12543-1 U6 - https://doi.org/10.1007/978-3-658-12543-1 PB - Springer Gabler CY - Wiesbaden ER - TY - BOOK A1 - Kellner, Florian A1 - Lienland, Bernhard A1 - Lukesch, Maximilian T1 - Produktionswirtschaft BT - Planung, Steuerung und Industrie 4.0 N2 - Dieses Buch gibt einen umfassenden Überblick über wichtige Bereiche der Produktionswirtschaft. Der Schwerpunkt liegt auf dem operativen Produktionsmanagement. Es zeigt den Einsatz der Produktionsfaktoren Mensch, Betriebsmittel und Material, erklärt die Bedeutung von Informationen für die betriebliche Führung und bietet anhand zahlreicher Beispiele einen breiten Einblick in die Planung und Steuerung industrieller Produktion. Ausführlich werden neben produktionswirtschaftlichen Grundlagen der Ablauf und Inhalt von Planungs- und Steuerungsprozessen erläutert. Auch das aktuelle Thema Industrie 4.0 sowie cyber-physische Systeme werden dargestellt. In der 2. Auflage wurden umfangreiche Überarbeitungen hinsichtlich Sprache und Aufbau vorgenommen sowie anschauliche Beispielaufgaben, neue Unternehmensbeispiele und hilfreiche Hintergrunderklärungen ergänzt. KW - Produktion KW - Leistungserstellung KW - Operatives Management KW - Industrie 4.0 KW - Produktionsmanagement KW - Produktionsfaktoren KW - Produktionsplanung KW - Produktionssteuerung KW - Kapazitätsbedarfsplanung KW - Materialbedarfsplanung KW - Losgrößenplanung KW - Auftragsterminierung KW - Industrielle Produktion KW - cyber-physische Systeme Y1 - 2020 U6 - https://doi.org/10.1007/978-3-662-61446-4 PB - Springer Gabler CY - Heidelberg ET - 2. , aktualisierte und erweiterte Auflage ER - TY - CHAP A1 - Lange, Frederick A1 - Herrmann, Frank T1 - Verbesserung der operativen Produktionsplanung durch Belastungsinformationen T2 - Tagungsband der 7. Wismarer Wirtschaftsinformatik-Tage, Wismar, 2012 KW - Produktionsplanung KW - Operative Planung KW - Belastungsorientierte Fertigungssteuerung Y1 - 2012 ER - TY - CHAP A1 - Manitz, Michael A1 - Herrmann, Frank A1 - Munninger, Maximilian T1 - Considering sequence-dependent stochasticity in production schedules T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2017 (OR 2017), Berlin, September 6 - 8, 2017 KW - Produktionsplanung KW - Ablaufplanung KW - Reihenfolgeproblem KW - Stochastischer Prozess Y1 - 2017 ER - TY - CHAP A1 - Selmair, Maximilian A1 - Herrmann, Frank A1 - Claus, Thorsten A1 - Teich, Enrico T1 - Potential of Reducing the Total Energy Consumption by Scheduling a Jobshop Production System T2 - Proceedings of the 16th International Conference on Simulation in Production and Logistics, September 23 - 25, 2015, Dortmund, Germany N2 - 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. KW - Produktionsplanung KW - Reihenfolgeproblem KW - Energieverbrauch Y1 - 2015 SP - 375 EP - 384 ER - TY - CHAP A1 - Terbrack, Hajo A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - Determining an optimal energy demand range within master production scheduling T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2019 (OR 2019) Dresden, September 3 - 6, 2019 KW - Produktionsplanung KW - Ablaufplanung KW - Energiebedarf Y1 - 2019 ER - TY - CHAP A1 - Trost, Marco A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Adapted Master Production Scheduling: Potential for Improving Human Working Conditions T2 - Proceedings of the 33th European Conference on Modelling and Simulation 2019 (ECMS), Caserta, Italy N2 - 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. KW - Produktionsplanung KW - Personalbedarfsplanung KW - Lineare Optimierung KW - Master Production Scheduling KW - Sustainability KW - Work Intensity KW - Workload Y1 - 2019 U6 - https://doi.org/10.7148/2019 VL - 33,1 SP - 310 EP - 316 ER - TY - CHAP A1 - Trost, Marco A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Master production scheduling with consideration of social aspects for networking with human resources requirements planning T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2018 (OR 2018), Brüssel, September 12 - 14, 2018 N2 - A large number of current research focuses on the sustainable orientation of business processes. However, it is often neglected that, next to the ecological and economic dimension, the social dimension is also an important pillar of sustainability. Therefore, the intended contribution focuses on the integration of social aspects into the Master Production Scheduling and thus achieves a network between production planning and human resources requirements planning. The study shows that previous papers on production planning and control usually ignore the social dimension. Exceptions are works that take advantage of learning and forgetting effects at the lot-sizing and scheduling. In addition, there are various papers in the scheduling area which aim to reduce employee workload by optimizing resource allocation. Thus, however, only an optimal distribution of burden is achieved. Therefore, this paper presents a long-term management of the burden. To this end, the classic Master Production Scheduling, which has been statically limited in terms of capacity, whereby additional capacities have been used, will be expanded. At the same time, human resources requirements planning is based on assumptions regarding the expected capacity requirements. The created linear optimization model, addresses these weak points. A flexible available capacity is integrated on the basis of existing sales orders. It is making possible, to build up and reduce capacities, whereby technical restrictions (number of workplaces) and labor market conditions (number of available employees, qualification of employees and experience of employees) are also mapped. This represents a significant progress compared to previous models, whereby the target function minimizes costs. Further progress has been made in investigating the effects of exhaustion. The ratio of capacity requirements to available capacity was controlled externally as employee utilization and processing times dependent on the employee's utilization were taken into account. Subsequently, different utilization situations were examined under the assumption of different exhaustion and random demand patterns with the aim of determining an optimal employee utilization. A key finding of this study is that - contrary to common assumptions - achieving cost benefits is not necessarily associated with maximizing utilization, but rather with controlling employee utilization. An additional effect results from the reduction of the employee burden. However, the flexible capacity available does not limit the performance of the production system. In addition, we are currently working on the investigation of effects in a long-term planning horizon and of consequences for the downstream planning levels of production planning and control. Overall, the contribution presents an innovative research project that aims to integrate social aspects into production planning in order to make a contribution to truly sustainable models in the future. KW - Produktionsplanung KW - Ablaufplanung KW - Soziale Verantwortung Y1 - 2018 ER - TY - CHAP A1 - Trost, Marco A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Adapted Master Production Scheduling: Analysis on the impact of relevant social performance indicators from the GRI standard T2 - Proceedings of the International Annual Conference of the German Operations Research Society 2019 (OR 2019) Dresden, September 3 - 6, 2019 N2 - The sustainable development of processes is currently an important topic in industry and science. Various interest groups and other factors like resource shortages or a lack of skilled workers drive this trend. In the area of Production and Operation Management, the integration of sustainable aspects is also becoming more and more important. However, mainly ecological aspects are considered. Thus, this contribution expands the previous research by the integration of social aspects. For this, we limit our research to the Master Production Scheduling as part of operational production planning. In the context of sustainability, the Global Reporting Initiative (GRI) Standard has established itself for companies and other organisations to report on their sustainability activities. It is the first and most widely adopted global standards for sustainability reporting. The aim of this standard is to measure the sustainable performance and in this way, sustainability activities can be oriented to specific performance indicators. Accordingly, the GRI standard enables concrete initiatives to improve social, environmental and economic conditions for everyone. The modular standard comprises 36 standard modules. For this paper, the 19 social modules were analysed and relevant indicators that could be influenced by the Master Production Scheduling were identified. One of the important indicators from the GRI standard for our research question is the use of employees, measured in terms of hiring and employee turnover. The long-term employee commitment and thus low fluctuation will become a competitive advantage in the future, which is enhanced by the demographic change and the lack of skilled workers. In order to integrate these aspects based on the GRI standard, the classic formulation of Master Production Scheduling is extended. For this a control of the employee utilization within concrete utilization intervals as well as dependent processing times due to different exhaustion effects were integrated. Additionally, in order to take into account the requirements of a flexible production and to model the use of employees, aspects of personnel requirements planning are considered as well, which enable the build-up and reduction of capacity. As a result, social and economic consequences of related production scenarios are presented. In this context, a conflict of targets arises especially with macroeconomic fluctuations. On the one hand, shortages and inventories should be avoided from an economic point of view. On the other hand, a low and constant work intensity as well as a constant number of staff should be preferred for long-term employee commitment. Accordingly, the ability of the model to examine these questions, which will become more and more important for industrial enterprises in the future, becomes clear. Furthermore, it can be seen that it is possible to improve social aspects by adapted production planning without neglecting economic targets. KW - Produktionsplanung KW - Ablaufplanung KW - Soziale Verantwortung KW - Global Reporting Initiative KW - Sustainable Development KW - Capacity Planning KW - Linear Programming Y1 - 2019 ER - TY - CHAP A1 - Trost, Marco A1 - Forstner, Robert A1 - Claus, Thorsten A1 - Herrmann, Frank A1 - Frank, Ingo A1 - Terbrack, Hajo T1 - Sustainable Production Planning and Control: A Systematic Literature Review T2 - Proceedings of the 33th European Conference on Modelling and Simulation 2019 (ECMS), Caserta, Italy N2 - 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. KW - Produktionsplanung KW - Nachhaltigkeit KW - Literaturbericht KW - Sustainability KW - Production Planning and Control KW - Review Y1 - 2019 U6 - https://doi.org/10.7148/2019 VL - 33,1 SP - 303 EP - 309 ER - TY - CHAP A1 - Vitzthum, Thorsten A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Einfluss von Mitarbeiterqualifikationszeiten im Rahmen nachhaltiger Produktionsplanung T2 - Simulation in Produktion und Logistik 2017, Kassel, 20.-22. September N2 - 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. T2 - Influence of Employee Qualification Times in the Context of Sustainable Production Planning KW - Enterprise-Resource-Planning KW - Produktionsplanung KW - Betriebliche Fortbildung Y1 - 2017 UR - http://www.asim-fachtagung-spl.de/asim2017/papers/Proof_111_Vitzthum.pdf SP - 315 EP - 324 ER - TY - GEN ED - Herrmann, Frank ED - Claus, Thorsten ED - Manitz, Michael T1 - Produktionsplanung und –steuerung BT - Forschungsansätze, Methoden und deren Anwendungen N2 - Das vorliegende Buch stellt ausgewählte Planungsmodelle sowie Ansätze und Verfahren zur Lösung von Planungsproblemen der operativen Produktionsplanung und -steuerung vor und analysiert diese. Im Mittelpunkt der Diskussion stehen zwei wichtige, höchst praxisrelevante Aspekte, die in der aktuellen Forschung intensiv diskutiert werden: die Berücksichtigung der knappen Kapazitäten und der Umgang mit Unsicherheit. Die Autoren orientieren sich an der operativen Produktionsplanung und -steuerung als Rückgrat der Planung von Produktionsprozessen in kommerziell verfügbaren IT-Systemen. Umsetzungen dieser Ansätze in der industriellen Praxis werden exemplarisch erläutert. Dadurch wendet sich das Buch an Wissenschaftlicher, vor allem an Doktoranden, die sich über den aktuellen Stand der Forschung informieren wollen, ebenso wie an Anwender, die die Planung in ihren Unternehmen verbessern wollen. KW - PPS KW - Produktionsplanung KW - Produktionssteuerung Y1 - 2015 SN - 978-3-662-43542-7 U6 - https://doi.org/10.1007/978-3-662-43542-7 PB - Springer ER -