Robust storage assignment in unit-load warehouses / Marcus Ang in Management science, Vol. 58 N° 11 (Novembre 2012)  

Public ISBD [article]  inManagement science > Vol. 58 N° 11 (Novembre 2012) . - pp. 2114-2130 Titre : Robust storage assignment in unit-load warehouses Type de document : texte imprimé Auteurs : Marcus Ang, Auteur ; Yun Fong Lim, Auteur ; Melvyn Sim, Auteur Année de publication : 2013 Article en page(s) : pp. 2114-2130 Note générale : Management Langues : Anglais (eng) Mots-clés : Inventory Production Uncertainty Programming Linear Large scale systems Transportation Materials handling Résumé : Assigning products to and retrieving them from proper storage locations are crucial decisions in minimizing the operating cost of a unit-load warehouse. The problem becomes intractable when the warehouse faces variable supply and uncertain demand in a multiperiod setting. We assume a factor-based demand model in which demand for each product in each period is affinely dependent on some uncertain factors. The distributions of these factors are only partially characterized. We introduce a robust optimization model that minimizes the worst-case expected total travel in the warehouse with distributional ambiguity of demand. Under a linear decision rule, we obtain a storage and retrieval policy by solving a moderate-size linear optimization problem. Surprisingly, despite imprecise specification of demand distributions, our computational studies suggest that the linear policy achieves close to the expected value given perfect information and significantly outperforms existing heuristics in the literature. ISSN : 0025-1909 En ligne : http://mansci.journal.informs.org/content/58/11/2114.abstract [article] Robust storage assignment in unit-load warehouses [texte imprimé] / Marcus Ang, Auteur ; Yun Fong Lim, Auteur ; Melvyn Sim, Auteur . - 2013 . - pp. 2114-2130. Management Langues : Anglais (eng) in Management science > Vol. 58 N° 11 (Novembre 2012) . - pp. 2114-2130 Mots-clés : Inventory Production Uncertainty Programming Linear Large scale systems Transportation Materials handling Résumé : Assigning products to and retrieving them from proper storage locations are crucial decisions in minimizing the operating cost of a unit-load warehouse. The problem becomes intractable when the warehouse faces variable supply and uncertain demand in a multiperiod setting. We assume a factor-based demand model in which demand for each product in each period is affinely dependent on some uncertain factors. The distributions of these factors are only partially characterized. We introduce a robust optimization model that minimizes the worst-case expected total travel in the warehouse with distributional ambiguity of demand. Under a linear decision rule, we obtain a storage and retrieval policy by solving a moderate-size linear optimization problem. Surprisingly, despite imprecise specification of demand distributions, our computational studies suggest that the linear policy achieves close to the expected value given perfect information and significantly outperforms existing heuristics in the literature. ISSN : 0025-1909 En ligne : http://mansci.journal.informs.org/content/58/11/2114.abstract

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