Abstract.
The lot-sizing polytope is a fundamental structure contained in many practical production planning problems. Here we study this polytope and identify facet–defining inequalities that cut off all fractional extreme points of its linear programming relaxation, as well as liftings from those facets. We give a polynomial–time combinatorial separation algorithm for the inequalities when capacities are constant. We also report computational experiments on solving the lot–sizing problem with varying cost and capacity characteristics.
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Supported, in part, by NSF Grants 0070127 and 0218265, and a grant from ILOG, Inc.
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Atamtürk, A., Muñoz, J. A study of the lot-sizing polytope. Math. Program., Ser. A 99, 443–465 (2004). https://doi.org/10.1007/s10107-003-0465-8
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DOI: https://doi.org/10.1007/s10107-003-0465-8