Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/3894
Title: | Optimisation and constraint based heuristic methods for advanced planning and scheduling systems | Authors: | Ozturk, Cemalettin Örnek, Mustafa Arslan |
Keywords: | Advanced planning and scheduling Constraint programming Heuristics Computer programming Constraint theory Floors Job shop scheduling Optimization Phase shifters Scheduling Advanced planning and scheduling Advanced planning and scheduling systems Backward scheduling Constraint programming Constraint-based scheduling Heuristics Manufacturing resource Optimization models Heuristic methods |
Publisher: | University of Cincinnati | Abstract: | Manufacturing Resources Planning (MRPII) systems are unable to prevent capacity problems occurring on the shop floor because of the fixed lead time and backward scheduling logic. For this reason, a new breed of concepts called APS (Advanced Planning and Scheduling) systems emerged which include finite capacity planning at the shop floor level through constraint based planning. In this paper, we present a Constraint Programming (CP) model to show how optimization models could be used in this context. We also present a two phase heuristic to solve this complicated APS problem. While jobs are assigned to the best eligible machines to smooth the workload on the machines in the first phase, a constraint based scheduling heuristic schedules jobs once they are assigned to eligible machines in the second phase. We provide numerical tests and discuss the results for both the model and the heuristic. The concluding remarks and suggestions for future research are stated in the final section of the paper. © International Journal of Industrial Engineering. | URI: | https://hdl.handle.net/20.500.14365/3894 | ISSN: | 1072-4761 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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