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.
Operations and Supply Chain Management
Warehousing in the Global Supply Chain
City or Country
LIM, Yun Fong.
Order-picking by cellular bucket brigades: A case study. (2012). Warehousing in the Global Supply Chain. 71-85. Research Collection Lee Kong Chian School Of Business.
Available at: http://ink.library.smu.edu.sg/lkcsb_research/3171