On the Design of Hierarchical Production Planning SystemsMassachusetts Institute of Technology, Operations Research Center, 1976 - Production planning - 37 pages To provide effective managerial support to the decisions related to the production planning and scheduling processes, it is useful to partition this set of decisions in a hierarchical framework. In the resulting system higher level decisions impose constraints to lower level actions, and lower level decisions provide the necessary feedback to reevaluate higher level actions. The purpose of this paper is to suggest optimum procedures to deal with the resulting subproblems, and to analyze the interaction mechanisms among the different hierarchical levels. Computational results are given. (Author). |
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aggregate model aggregate planning model aggregate production plan algorithm Appendix I-B available inventory backorders Bitran branch and bound constraints cycle B+1 define the last DESIGN OF HIERARCHICAL Dzielinski effective demand families belonging Family Disaggregation Model family run quantities forecast demand FORECAST ERROR Hax and Meal hierarchical planning system HIERARCHICAL PRODUCTION High Setup Cost iɛJ infeasibilities Initial Inventory interaction inventory holding costs item-nɔ abc cost items belonging jɛJ jẞ+1 kɛk knapsack knapsack problem Kuhn-Tucker conditions last period last variables Lemma Linear Programming Management Science Massachusetts Minimize MIP model Mixed Integer Programming mutd number of units objective function Operations Research Center optimal solution optimum overstock limit overtime costs product structure product type production lead rot order safety stock simulation solve Problem subproblems system's performance Taubert theorem TIGHT CAPACITY TOTAL COST upper bounds yutd ΑΙ κεκ κεκο Σ Σ