Publication Type
Book Chapter
Version
acceptedVersion
Publication Date
1-2012
Abstract
Assigning products to and retrieving them from proper storage locations are crucial 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 multi-period 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.
Discipline
Operations and Supply Chain Management
Research Areas
Operations Management
Publication
Warehousing in the Global Supply Chain
Editor
Manzini, Riccardo
First Page
71
Last Page
85
ISBN
9781447122739
Identifier
10.1007/978-1-4471-2274-6_4
Publisher
Springer-Verlag
City or Country
London
Citation
LIM, Yun Fong.
Order-picking by cellular bucket brigades: A case study. (2012). Warehousing in the Global Supply Chain. 71-85.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/3171
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-1-4471-2274-6_4