Please use this identifier to cite or link to this item: https://doi.org/10.1287/mnsc.1120.1543
Title: Robust storage assignment in unit-load warehouses
Authors: Ang, M.
Lim, Y.F.
Sim, M. 
Keywords: Inventory
Large scale systems
Linear
Materials handling
Production
Programming
Transportation
Uncertainty
Issue Date: 2012
Source: Ang, M., Lim, Y.F., Sim, M. (2012). Robust storage assignment in unit-load warehouses. Management Science 58 (11) : 2114-2130. ScholarBank@NUS Repository. https://doi.org/10.1287/mnsc.1120.1543
Abstract: 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. © 2012 INFORMS.
Source Title: Management Science
URI: http://scholarbank.nus.edu.sg/handle/10635/44097
ISSN: 00251909
DOI: 10.1287/mnsc.1120.1543
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