Multi-stage lot sizing in a serial production system
- 1 May 1986
- journal article
- research article
- Published by Taylor & Francis in International Journal of Production Research
- Vol. 24 (3) , 517-534
- https://doi.org/10.1080/00207548608919747
Abstract
This paper summarizes the development and implementation of a large-scale, multi-objective, lot-sizing model for scheduling tablet pharmaceuticals in a serial production system. The model places multiple resource capacity constraints on production at various stages of the manufacturing process and explicitly considers resource set-up times to ensure the generation of a feasible schedule. The multi-period model uniquely allows for variable lot sizes by stage and by period, subject to integrality restrictions arising from the technological nature of the multi-stage process. An integer goal programming approach is used for determining non-dominated solutions to the multi-item problem. The implementation and utilization of the model by an international manufacturer of pharmaceuticals is described, and model results are presented and discussed.Keywords
This publication has 15 references indexed in Scilit:
- Mathematical Programming Approaches to Capacity-Constrained MRP Systems: Review, Formulation and Problem ReductionManagement Science, 1983
- HEURISTIC LOT‐SIZING APPROACHES FOR DEALING WITH MRP SYSTEM NERVOUSNESSDecision Sciences, 1983
- Improved Heuristics for Multi-Stage Requirements Planning SystemsManagement Science, 1982
- A Review of Production SchedulingOperations Research, 1981
- Multi-Stage Production PlanningManagement Science, 1979
- Less Nervous MRP Systems: A Dynamic Economic Lot-Sizing ApproachManagement Science, 1979
- A facilities in series capacity constrained dynamic lot-size modelEuropean Journal of Operational Research, 1978
- A Lower Bounding Structure for Lot-Size Scheduling ProblemsOperations Research, 1975
- A Facilities in Series Inventory Model with Nested SchedulesManagement Science, 1972
- A Goal Programming Model of Aggregate Production PlanningThe Swedish Journal of Economics, 1969