Branch-Cut-and-Price algorithm for an Operational Storage Location Assignment Problem
Thibault Prunet  1@  , Nabil Absi  2, 3@  , Valeria Borodin  5, 4@  , Diego Cattaruzza  6@  
1 : Laboratoire dÍnformatique, de Modélisation et dÓptimisation des Systèmes
Ecole Nationale Supérieure des Mines de St Etienne : UMR6158, Centre National de la Recherche Scientifique : UMR6158
2 : Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes  (LIMOS)  -  Site web
CNRS : UMR6158
F-13541 Gardanne -  France
3 : Ecole des Mines de Saint-Etienne  (EMSE)  -  Site web
Ecole des Mines de Saint-Etienne
Campus Georges Charpak Provence, F-13451 Gardanne, France -  France
5 : Ecole des Mines de Saint Etienne
Ecole des Mines de Saint Etienne, Ecole des Mines de Saint-Etienne
4 : Laboratoire dÍnformatique, de Modélisation et dÓptimisation des Systèmes
Université Clermont Auvergne : UMR6158, Centre National de la Recherche Scientifique : UMR6158
6 : Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Ecole Centrale de Lille, Université de Lille, Centre National de la Recherche Scientifique : UMR9189

The Storage Location Assignment Problem in warehousing have been seldomly tackled by exact methods when considering the exact demand over a time horizon (e.g. the set of orders with different items to retrieve). In this presentation we present a novel extended formulation of the problem that is independant from both: i. the warehouse layout and ii. The picker routing policy. These two aspects are convexified in the subproblems. This formulation is solved by a column-generation algorithm with decomposed pricing problems, embedded in a Branch-Cut-and-Price. Several polynomial and exponential families of valid inequalities are derived to enhance the resolution framework. Preliminary results show a major improvement of the dual bound between a compact mixed-integer formulation and the extended one. The results of the Branch-Cut-and-Price algorithm are competitive compared to commercial solvers. Further work is ongoing to further speed-up the solution method.


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