Lagrangian heuristics for the capacitated multi-plant lot sizing problem with multiple periods and items
نویسندگان
چکیده
منابع مشابه
Progressive Interval Heuristics for Multi-Item Capacitated Lot-Sizing Problems
We consider a family of N items that are produced in, or obtained from, the same production facility. Demands are deterministic for each item and each period within a given horizon of T periods. If in a given period an order is placed, setup costs are incurred. The aggregate order size is constrained by a capacity limit. The objective is to find a lot-sizing strategy that satisfies the demands ...
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This paper deals with the multi-item capacitated lot-sizing problem with setup times and lost sales. Because lost sales, demands can be partially or totally lost. To find a good lower bound, we use a Lagrangian relaxation of the capacity constraints, when single-item uncapacitated lot-sizing problems with lost sales have to be solved. Each subproblem is solved using an adaptation of the O(T ) d...
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This paper addresses the independent multi-plant, multi-period, and multi-item capacitated lot sizing problem where transfers between the plants are allowed. This is an NP-hard combinatorial optimization problem and few solution methods have been proposed to solve it. We develop a GRASP (Greedy Randomized Adaptive Search Procedure) heuristic as well as a pathrelinking intensification procedure ...
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ژورنال
عنوان ژورنال: Computers & Operations Research
سال: 2016
ISSN: 0305-0548
DOI: 10.1016/j.cor.2016.01.019