Stochastic Modelling in Production Planning: Methods for Improvement and Investigations on Production System Behaviour
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Description
Alexander Hübl develops models for production planning and analyzes performance indicators to investigate production system behaviour. He extends existing literature by considering the uncertainty of customer required lead time and processing times as well as by increasing the complexity of multi-machine multi-items production models. Results are on the one hand a decision support system for determining capacity and the further development of the production planning method Conwip. On the other hand, the author develops the JIT intensity and analytically proves the effects of dispatching rules on production lead time. Front Matter ....Pages I-XV Introduction (Alexander Hübl)....Pages 1-7 Literature Review (Alexander Hübl)....Pages 9-21 Utilisation Concept for Hierarchical Production Planning (Alexander Hübl)....Pages 23-36 Capacity Setting Methods (Alexander Hübl)....Pages 37-85 Conwip (Alexander Hübl)....Pages 87-107 Dispatching Rules (Alexander Hübl)....Pages 109-120 Conclusions (Alexander Hübl)....Pages 121-122 Back Matter ....Pages 123-139
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