@inproceedings{FuchsHerrmannManitz, author = {Fuchs, Michael and Herrmann, Frank and Manitz, Michael}, title = {A Lagrangian relaxation based approach for the capacitated multi-level lot sizing problem with stochastic demands}, series = {SMMSO 2019 - 12th Conference on Stochastic Models of Manufacturing and Service Operations, June 9th - 14th, 2019, Goslar, Germany}, booktitle = {SMMSO 2019 - 12th Conference on Stochastic Models of Manufacturing and Service Operations, June 9th - 14th, 2019, Goslar, Germany}, subject = {Kapazit{\"a}tsbelegungsplanung}, language = {en} } @misc{EnglbergerHerrmannManitz, author = {Englberger, Julian and Herrmann, Frank and Manitz, Michael}, title = {Ber{\"u}cksichtigung stochastischer Einfl{\"u}sse bei der Hauptproduktionsprogrammplanung}, series = {Im Mix der Methoden - Neue Perspektiven der Produktionswirtschaft. 1. Doktorandenworkshop der Wissenschaftlichen Kommission f{\"u}r Produktionswirtschaft, 19./20. M{\"a}rz 2021, Berlin}, journal = {Im Mix der Methoden - Neue Perspektiven der Produktionswirtschaft. 1. Doktorandenworkshop der Wissenschaftlichen Kommission f{\"u}r Produktionswirtschaft, 19./20. M{\"a}rz 2021, Berlin}, publisher = {TU Berlin}, language = {de} } @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{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{HerrmannManitz, author = {Herrmann, Frank and Manitz, Michael}, title = {Some remarks to the shape of Clearing Functions}, series = {Proceedings of the International Annual Conference of the German Operations Research Society 2015 (OR 2015) Wien, September 1 - 4}, booktitle = {Proceedings of the International Annual Conference of the German Operations Research Society 2015 (OR 2015) Wien, September 1 - 4}, language = {en} } @book{HerrmannManitz, author = {Herrmann, Frank and Manitz, Michael}, title = {Materialbedarfsplanung und Ressourcenbelegungsplanung}, publisher = {Springer Gabler}, address = {Wiesbaden}, isbn = {978-3-658-12543-1}, doi = {10.1007/978-3-658-12543-1}, pages = {VII, 357}, subject = {Materialbedarf}, language = {de} } @inproceedings{ManitzHerrmannMunninger, author = {Manitz, Michael and Herrmann, Frank and Munninger, Maximilian}, title = {Considering sequence-dependent stochasticity in production schedules}, series = {Proceedings of the International Annual Conference of the German Operations Research Society 2017 (OR 2017), Berlin, September 6 - 8, 2017}, booktitle = {Proceedings of the International Annual Conference of the German Operations Research Society 2017 (OR 2017), Berlin, September 6 - 8, 2017}, subject = {Produktionsplanung}, language = {en} } @incollection{HerrmannManitz, author = {Herrmann, Frank and Manitz, Michael}, title = {Ein hierarchisches Planungskonzept zur operativen Produktionsplanung und -steuerung}, series = {Produktionsplanung und -steuerung}, booktitle = {Produktionsplanung und -steuerung}, editor = {Claus, Thorsten and Herrmann, Frank and Manitz, Michael}, publisher = {Springer Gabler}, address = {Berlin, Heidelberg}, isbn = {978-3-662-64290-0}, doi = {10.1007/978-3-662-64291-7_2}, pages = {9 -- 25}, abstract = {Ausgangspunkt f{\"u}r die operative Produktionsplanung und -steuerung ist eine Infrastruktur aus Produktionsressourcen mit definierten Produktionskapazit{\"a}ten, auf denen jeweils die Produktion eines oder mehrerer verschiedener Produkte erfolgen kann.}, language = {de} } @incollection{ClausHerrmannManitz, author = {Claus, Thorsten and Herrmann, Frank and Manitz, Michael}, title = {Knappe Kapazit{\"a}ten und Unsicherheit - Analytische Ans{\"a}tze und Simulation in der Produktionsplanung und -steuerung}, series = {Produktionsplanung und -steuerung}, booktitle = {Produktionsplanung und -steuerung}, editor = {Claus, Thorsten and Herrmann, Frank and Manitz, Michael}, publisher = {Springer Gabler}, address = {Berlin, Heidelberg}, isbn = {978-3-662-64290-0}, doi = {10.1007/978-3-662-64291-7_1}, pages = {3 -- 7}, language = {de} } @article{EnglbergerHerrmannManitz, author = {Englberger, Julian and Herrmann, Frank and Manitz, Michael}, title = {Master production scheduling with scenario-based capacity-load factors in a rolling planning environment}, series = {Logistics Research, Special Issue "Supply Chain Analytics in the 2020s"}, volume = {15}, journal = {Logistics Research, Special Issue "Supply Chain Analytics in the 2020s"}, publisher = {Bundesvereinigung Logistik (BVL) e.V.}, address = {Bremen}, doi = {10.23773/2022_12}, pages = {1 -- 16}, abstract = {This paper proposes two stochastic programming models for master production scheduling with capacity-load factor scenarios. In contrast to other work on production planning with load-dependent lead times or dynamic capacity loads, we iteratively build a set of realistic capacity-load factor scenarios by simulating the realization of the master production schedules in a rolling horizon environment. Therefore, we integrate the models into a hierarchical production planning and control system that is common in industrial practice and measure the effective capacity-load factors. With these factors, we resolve the master production scheduling problem. Toa evaluate the performance of the proposed models, we compare the stochastic models with the common approach to reduce the nominally available capacity for master production scheduling. In our experiments, the stochastic models significantly reduce the tardiness of production orders caused by capacity bottlenecks.}, language = {en} }