TY - CHAP A1 - Vitzthum, Thorsten A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Can Aggregate Production Planning (APP) be modified to be as good as Master Production Scheduling (MPS) T2 - ACC Journal N2 - 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. KW - Hierarchische Produktionsplanung KW - Fertigungsprogrammplanung KW - Fallstudie KW - Hierarchical production planning KW - Aggregate production planning (APP) KW - Master production scheduling (MPS) KW - Material requirement planning KW - Resource profiles Y1 - 2017 U6 - https://doi.org/10.15240/tul/004/2017-2-012 VL - 23 IS - 2 SP - 155 EP - 162 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 - CHAP A1 - Vitzthum, Thorsten A1 - Herrmann, Frank T1 - Evidence of the Relevance of Master Production Scheduling for Hierarchical Production Planning. T2 - Proceedings, 31st European Conference on Modelling and Simulation (ECMS) 2017, 23rd - May 26th, Budapest, Hungary N2 - 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. KW - Hierarchische Produktionsplanung KW - Fertigungsprogrammplanung Y1 - 2017 SN - 978-0-9932440-4-9 U6 - https://doi.org/10.7148/2017-0475 ER -