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Department of Industrial Engineering and Operations Research, University of California, Berkeley, California 947201777
We investigate the polyhedral structure of the lot-sizing problem with inventory bounds. We consider two models, one with linear cost on inventory, the other with linear and fixed costs on inventory. For both models, we identify facet-defining inequalities that make use of the inventory bounds explicitly and give exact separation algorithms. We also describe a linear programming formulation of the problem when the order and inventory costs satisfy the Wagner-Whitin nonspeculative property. We present computational experiments that show the effectiveness of the results in tightening the linear programming relaxations of the lot-sizing problem with inventory bounds and fixed costs.
Department of Industrial Engineering and Operations Research, University of California, Berkeley, California 947201777
atamturk{at}ieor.berkeley.edu
simge{at}ieor.berkeley.edu
Subject classifications: lot sizing; facets; separation algorithms; computation.
History: Received July 2003;
revision received February 2004;
accepted July 2004.
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