Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
481409 | European Journal of Operational Research | 2008 | 16 Pages |
Abstract
Class-based storage implementation decisions have significant impact on the required storage space and the material handling cost in a warehouse. In this paper, a nonlinear integer programming model is proposed to capture the above. Effects of storage area reduction on order picking and storage space cost are incorporated. A branch and bound algorithm is developed to solve the model. Computational experience with randomly generated data sets and an industrial case shows that branch and bound algorithm is computationally more efficient than a baseline dynamic programming algorithm. It is further observed that the class based policy results in lower total cost of order picking and storage space than the dedicated policy.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Venkata Reddy Muppani (Muppant), Gajendra Kumar Adil,