@inproceedings{EnglbergerHerrmannClaus, author = {Englberger, Julian and Herrmann, Frank and Claus, Thorsten}, title = {Simulation of robust Master Production Scheduling in an industrially relevant planning environment}, series = {Proceedings of the 27th EUROPEAN Conference on Modeling and Simulationn, May 27th - 30th, 2013, {\AA}lesund, Norway}, booktitle = {Proceedings of the 27th EUROPEAN Conference on Modeling and Simulationn, May 27th - 30th, 2013, {\AA}lesund, Norway}, doi = {10.7148/2013-0794}, pages = {794 -- 800}, abstract = {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.}, subject = {Hierarchische Produktionsplanung}, language = {en} } @article{EnglbergerHerrmannManitz, author = {Englberger, Julian and Herrmann, Frank and Manitz, Michael}, title = {Two-stage stochastic master production scheduling under demand uncertainty in a rolling planning environment}, series = {International Journal of Production Research}, volume = {54}, journal = {International Journal of Production Research}, number = {20}, publisher = {Taylor \& Francis}, doi = {10.1080/00207543.2016.1162917}, pages = {6192 -- 6215}, abstract = {This paper proposes a scenario-based two-stage stochastic programming model with recourse for master production scheduling under demand uncertainty. We integrate the model into a hierarchical production planning and control system that is common in industrial practice. To reduce the problem of the disaggregation of the master production schedule, we use a relatively low aggregation level (compared to other work on stochastic programming for production planning). Consequently, we must consider many more scenarios to model demand uncertainty. Additionally, we modify standard modelling approaches for stochastic programming because they lead to the occurrence of many infeasible problems due to rolling planning horizons and interdependencies between master production scheduling and successive planning levels. To evaluate the performance of the proposed models, we generate a customer order arrival process, execute production planning in a rolling horizon environment and simulate the realisation of the planning results. In our experiments, the tardiness of customer orders can be nearly eliminated by the use of the proposed stochastic programming model at the cost of increasing inventory levels and using additional capacity.}, subject = {Hierarchische Produktionsplanung}, language = {en} } @inproceedings{VitzthumClausHerrmann, author = {Vitzthum, Thorsten and Claus, Thorsten and Herrmann, Frank}, title = {Can Aggregate Production Planning (APP) be modified to be as good as Master Production Scheduling (MPS)}, series = {ACC Journal}, volume = {23}, booktitle = {ACC Journal}, number = {2}, doi = {10.15240/tul/004/2017-2-012}, pages = {155 -- 162}, abstract = {In diesem Beitrag wird anhand einer Fallstudie die Bedeutung der Hauptproduktionsprogrammplanung (HPPLAN) f{\"u}r die hierarchische Produktionsplanung herausgearbeitet werden. Dazu wird versucht das Ergebnis der aggregierten Gesamtplanung (AGGRPLAN) durch Ver{\"a}nderung einzelner Paramater so zu verbessern, dass es dem Ergebnis der HPPLAN entspricht. Im Rahmen der Untersuchungen konnten dabei Verbesserungen f{\"u}r einzelne Planungssituationen erzielt werden, eine generelle L{\"o}sung konnte jedoch nicht gefunden werden. Insbesondere der Einsatz eines geeigneten Kapazit{\"a}tsreduktionsfaktors in Verbindung mit der Ber{\"u}cksichtigung der Durchlaufzeit f{\"u}hrt zu einer Verbesserung der L{\"o}sung. Bei der Planung von mehr als einem Produkt ist allerdings schwierig einen geeigneten Kapazit{\"a}tsreduktionsfaktor zu finden, da dieser abh{\"a}ngig von der Nachfrage ist.}, subject = {Hierarchische Produktionsplanung}, language = {en} } @article{TrostTeichClausetal., author = {Trost, Marco and Teich, Enrico and Claus, Thorsten and Herrmann, Frank}, title = {Ein lineares Optimierungsmodell zur Hauptproduktionsprogrammplanung mit Ber{\"u}cksichtigung sozialer Gr{\"o}ßen}, series = {uwf UmweltWirtschaftsForum}, volume = {25}, journal = {uwf UmweltWirtschaftsForum}, doi = {10.1007/s00550-017-0454-7}, pages = {71 -- 80}, abstract = {Aufgrund weniger existenter sozialorientierter Forschungen im Rahmen der Produktionsplanung und -steuerung stellt dieser Beitrag ein lineares Optimierungsmodell f{\"u}r die Hauptproduktionsprogrammplanung vor, welches soziale Kriterien ber{\"u}cksichtigt. Erste Ergebnisse deuten an, dass geringe Kosten nicht durch eine maximierte Mitarbeiterauslastung entstehen sondern durch geringe Kapazit{\"a}tsschwankungen.}, subject = {Hierarchische Produktionsplanung}, language = {de} } @inproceedings{TrostClausTeichetal., author = {Trost, Marco and Claus, Thorsten and Teich, Enrico and Selmair, Maximilian and Herrmann, Frank}, title = {Social and Ecological Capabilities for a sustainable Hierarchical Production Planning}, series = {Proceedings of the 30th EUROPEAN Conference on Modeling and Simulation (ECMS 2016), May 31st - June 3rd, 2016, Regensburg, Germany}, booktitle = {Proceedings of the 30th EUROPEAN Conference on Modeling and Simulation (ECMS 2016), May 31st - June 3rd, 2016, Regensburg, Germany}, doi = {10.7148/2016-0432}, abstract = {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.}, subject = {Hierarchische Produktionsplanung}, language = {en} } @inproceedings{HerrmannLangeManitz, author = {Herrmann, Frank and Lange, Frederick and Manitz, Michael}, title = {Order release within hierarchical production planning and control using product specific clearing functions}, series = {Proceedings of the International Annual Conference of the German Operations Research Society 2014 (OR 2014), Aachen, September 2 - 5, 2014, Germany}, booktitle = {Proceedings of the International Annual Conference of the German Operations Research Society 2014 (OR 2014), Aachen, September 2 - 5, 2014, Germany}, subject = {Hierarchische Produktionsplanung}, language = {en} } @inproceedings{HerrmannLangeAlmeder, author = {Herrmann, Frank and Lange, Frederick and Almeder, Christian}, title = {Capacity estimation based on clearing functions for the capacitated lot-sizing problem}, series = {Proceedings of the 5th International Workshop on Lot-Sizing, August 26th - 29th, 2014, Porto, Portugal}, booktitle = {Proceedings of the 5th International Workshop on Lot-Sizing, August 26th - 29th, 2014, Porto, Portugal}, abstract = {Single-stage capacitated lot-sizing problems (CLSP) are essential for manyplanning tasks in production systems. Due to the hierarchical planning approach, which is widely used in industrial practice and implemented in commercial enterprise resource planning as well as production planning and controlsystems, a subsequent scheduling is necessary to gain executable productionplans. Capacity consumption depends on many factors as, for example, systems workload, machine availability, or yield. Thus, a feasible and optimalsolution of the CLSP may lead to unplanned delays after sequencing and processing the orders on the shop floor. Using a so called clearing function (CF),which represents the relationship between the workload and the output of a production system, this capacity consumption in a CLSP is improved in various ways and tested on a real-world application.}, subject = {Hierarchische Produktionsplanung}, language = {en} } @inproceedings{Herrmann, author = {Herrmann, Frank}, title = {Genetic algorithm with simulation for scheduling of a flow shop with simultaneously loaded stations}, series = {Proceedings of the 28th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2014, Brescia, Italy}, booktitle = {Proceedings of the 28th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2014, Brescia, Italy}, abstract = {In this study, a real world flow shop with a transportation restriction is regarded. This restriction reduces the set of feasible schedules even more than the no-buffer restrictions discussed in the literature in the case of limited storage. Still this problem is NP-hard. Since this scheduling problem is integrated in the usual hierarchical planning, the tardiness is minimised. Compared to even specific priority rule for this class of problems the suggested genetic algorithm delivers significant better results. The specific structure of this class of problems complicates the calculation of the performance criteria. This is solved by a simulation algorithm. Proceedings 28th European Conference on Modelling and Simulation.}, subject = {Ablaufplanung}, language = {en} } @inproceedings{VitzthumHerrmann, author = {Vitzthum, Thorsten and Herrmann, Frank}, title = {Evidence of the Relevance of Master Production Scheduling for Hierarchical Production Planning.}, series = {Proceedings, 31st European Conference on Modelling and Simulation (ECMS) 2017, 23rd - May 26th, Budapest, Hungary}, booktitle = {Proceedings, 31st European Conference on Modelling and Simulation (ECMS) 2017, 23rd - May 26th, Budapest, Hungary}, isbn = {978-0-9932440-4-9}, doi = {10.7148/2017-0475}, abstract = {This paper deals with the significance of master production scheduling for hierarchical production planning. Production planning in a typical manufacturing organization is a sequence of complex decisions which depends on a number of factors, such as number of products, complexity of products, number of production sites, and number of work centres in each production site. The main idea in hierarchical production planning is to break down larger problems into smaller, more manageable sub problems. Starting with aggregate production planning, the benefits of using master production scheduling for material requirements planning will be conveyed. The main benefit of master production scheduling is more detailed planning. The production groups are thereby disaggregated into final products and the production site disaggregated into work centres. In order to plan capacities, resource profiles are used. By working with resource profiles production lead time data are taken into account to provide time-phased projections of the capacity requirements for each work centre (Vollmann et al. 2005). The case study will show that more accurate planning and consideration of production lead time through master production scheduling results in a demand program that can be realized without shortages or delays.}, subject = {Hierarchische Produktionsplanung}, language = {en} } @inproceedings{Herrmann, author = {Herrmann, Frank}, title = {Simulation based priority rules for scheduling of a flow shop with simultaneously loaded stations}, series = {Proceedings of the 27th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2013, {\AA}lesund, Norway}, booktitle = {Proceedings of the 27th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2013, {\AA}lesund, Norway}, doi = {10.7148/2013-0775}, pages = {775 -- 781}, abstract = {In this study, a real world flow shop with a transportation restriction is regarded. This restriction reduces the set of feasible schedules even more than the no-buffer restrictions discussed in the literature in the case of limited storage. Since this scheduling problem is integrated in the usual hierarchical planning, the tardiness is minimised. This NP-hard problem is solved by priority rules, because of the addressed dynamic environment (and a high number of jobs) at the company site. Due to the technological restrictions the real duration of a job is significantly larger than its net processing time. By a simulation of the processing time many priority rules are improved and some even significantly. With extensive simulations successful priority rules in the literature are analysed.}, subject = {Hierarchische Produktionsplanung}, language = {en} } @inproceedings{DavendraHerrmannBialicDavendra, author = {Davendra, Donald and Herrmann, Frank and Bialic-Davendra, Magdalena}, title = {Scheduling tardiness constrained flow shop with simultaneously loaded stations using Genetic Algorithm}, series = {Proceedings of the 4th International Conference on Intelligent Systems, Metaheuristics \& Swarm Intelligence (ISMSI 2020): Thimphu, Kingdom of Bhutan during March 21-22, 2020}, booktitle = {Proceedings of the 4th International Conference on Intelligent Systems, Metaheuristics \& Swarm Intelligence (ISMSI 2020): Thimphu, Kingdom of Bhutan during March 21-22, 2020}, publisher = {ACM}, doi = {10.1145/3396474.3396475}, abstract = {In this study, a real world flow shop with a transportation restriction is regarded. This restriction reduces the set of feasible schedules even more than the no-buffer restrictions discussed in the literature in the case of limited storage. Still this problem is NP-hard. Since this scheduling problem is integrated in the usual hierarchical planning, the tardiness is minimised. Compared to even specific priority rule for this class of problems the suggested genetic algorithm delivers significant better results. The specific structure of this class of problems complicates the calculation of the performance criteria. This is solved by a simulation algorithm.}, subject = {Ablaufplanung}, language = {en} } @inproceedings{TrostClausTeichetal., author = {Trost, Marco and Claus, Thorsten and Teich, Enrico and Herrmann, Frank}, title = {Die soziale Dimension in der nachhaltigen hierarchischen Produktionsplanung - Stand der Forschung und Ans{\"a}tze zur Weiterentwicklung bestehender Planungsmodelle}, series = {Proceedings zur NAMA 2016 (NAMA 2016), October 5th - 7th, 2016, Dresden, Germany}, booktitle = {Proceedings zur NAMA 2016 (NAMA 2016), October 5th - 7th, 2016, Dresden, Germany}, pages = {4 S.}, abstract = {Bei der Produktionsplanung steht die Optimierung des Produktionssystems eines Unternehmens im Vordergrund. In diesem Beitrag wird auf Basis der hierarchischen Produktionsplanung aufgezeigt, dass neben {\"o}konomischen und {\"o}kologischen Aspekten insbesondere auch soziale Effekte bei der Entscheidungsfindung zu ber{\"u}cksichtigen sind. Dazu werden f{\"u}r die Hauptproduktionsprogrammplanung, die Losgr{\"o}ßenplanung und die Ressourcenbelegungsplanung dargelegt, welche sozialen Gr{\"o}ßen ber{\"u}cksichtigt werden k{\"o}nnen beziehungsweise bereits ber{\"u}cksichtigt sind. {\"U}berdies wird ein Modellansatz zur Hauptproduktionsprogrammplanung vorgestellt, der auf die Beseitigung identifizierter Forschungsl{\"u}cken abzielt.}, subject = {Hierarchische Produktionsplanung}, language = {de} }