Hierarchical production planning and scheduling for multiproduct parallel-processor environments
A set of mathematical-programming models and heuristics is developed to facilitate production planning in a unique manufacturing setting. A mathematical-programming model is used to determine aggregate production levels and inventory levels. Lot sizes and inventory levels for individual end items can be set via a nonlinear integer programming model. Finally, a heuristic accomplishes job sequencing that attempts to minimize sequence-dependent changeover costs. This hierarchical production-planning model is developed for a multi-product, parallel-processor environment in which changeover costs are high as well as sequence-dependent. Implementation of this three-level plan has resulted in considerable cost savings at the Owens-Corning Fiberglas plant in Anderson, South Carolina.
- Research Organization:
- Clemson Univ., SC (USA)
- OSTI ID:
- 6987650
- Resource Relation:
- Other Information: Thesis (Ph. D.)
- Country of Publication:
- United States
- Language:
- English
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