Article ID: | iaor201524631 |
Volume: | 23 |
Issue: | 10 |
Start Page Number: | 1761 |
End Page Number: | 1778 |
Publication Date: | Oct 2014 |
Journal: | Production and Operations Management |
Authors: | Gao Long, Thomas Douglas J, Freimer Michael B |
Keywords: | combinatorial optimization, retailing, inventory: order policies |
A pre‐pack is a collection of items used in retail distribution. By grouping multiple units of one or more stock keeping units (SKU), distribution and handling costs can be reduced; however, ordering flexibility at the retail outlet is limited. This paper studies an inventory system at a retail level where both pre‐packs and individual items (at additional handling cost) can be ordered. For a single‐SKU, single‐period problem, we show that the optimal policy is to order into a ‘band’ with as few individual units as possible. For the multi‐period problem with modular demand, the band policy is still optimal, and the steady‐state distribution of the target inventory position possesses a semi‐uniform structure, which greatly facilitates the computation of optimal policies and approximations under general demand. For the multi‐SKU case, the optimal policy has a generalized band structure. Our numerical results show that pre‐pack use is beneficial when facing stable and complementary demands, and substantial handling savings at the distribution center. The cost premium of using simple policies, such as strict base‐stock and batch‐ordering (pre‐packs only), can be substantial for medium parameter ranges.