A MATHEMATICAL-PROGRAMMING APPROACH TOWARDS OPTIMIZED MASTER PRODUCTION SCHEDULING

被引:25
作者
CHU, SCK
机构
[1] Department of Mathematics, University of Hong Kong, Hong Kong, Pokfulam Road
关键词
D O I
10.1016/0925-5273(95)00015-G
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The conventional material requirements planning (MRP) and master production scheduling (MPS) systems have gained wide acceptance among production management and control. In this paper, we consider further an aggregate optimization model for the usual MRP/MPS. That is, under a realistic assumption that the availability of material accumulates over time, we seek an optimal production schedule for most profitable operation subject to various capacity constraints. To this end, linear programming formulations are given for various levels of model complexity, ranging from a basic product-mix problem to a global aggregate production planning problem. We examine stage-wise decomposition from the point of view of practical computational feasibility and study the robustness of this decomposition. Finally, simplified numerical results are provided as illustrations.
引用
收藏
页码:269 / 279
页数:11
相关论文
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