Mathematics of Operations Research
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MATHEMATICS OF OPERATIONS RESEARCH
Vol. 30, No. 2, May 2005, pp. 441-452
DOI: 10.1287/moor.1040.0130
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The Continuous Mixing Polyhedron

Mathieu Van Vyve

Center of Operations Research and Econometrics (CORE), Université catholique de Louvain, 34, Voie du Roman Pais, 1348 Louvain-la-Neuve, Belgium
vanvyve{at}core.ucl.ac.be

We analyze the polyhedral structure of the sets PCMIX = {(s, r, z) isin R x R+n x Zn | s + rj + zj ≥ fj, j = 1, ..., n} and P+CMIX = PCMIX {cap} {s ≥ 0}. The set P+CMIX is a natural generalization of the mixing set studied by Pochet and Wolsey [15, 16] and Günlük and Pochet [8] and recently has been introduced by Miller and Wolsey [12]. We introduce a new class of valid inequalities that has proven to be sufficient for describing conv(PCMIX). We give an extended formulation of size O(n) x O(n2) variables and constraints and indicate how to separate over conv(PCMIX) in O(n3) time. Finally, we show how the mixed integer rounding (MIR) inequalities of Nemhauser and Wolsey [14] and the mixing inequalities of Günlük and Pochet [8] constitute special cases of the cycle inequalities.

Key Words: mixed integer rounding; mixing; convex hull proof; lot sizing
History: Received: October 28, 2003; revision received: May 18, 2004;revision received: August 6, 2004;


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M. Van Vyve
Algorithms for Single-Item Lot-Sizing Problems with Constant Batch Size
Mathematics of Operations Research, August 1, 2007; 32(3): 594 - 613.
[Abstract] [PDF]




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