Date of Award
1-1-2022
Publication Type
Thesis
Degree Name
M.A.Sc.
Department
Industrial and Manufacturing Systems Engineering
Keywords
Order picking, Storage location assignment problem
Supervisor
G. Zhang
Supervisor
X. Guo
Rights
info:eu-repo/semantics/embargoedAccess
Abstract
Order picking is the most laborious operation in a warehouse. Motivated by a real-world problem, this thesis developed a multi-objective model for the storage location assignment problem which assigns SKUs to storage locations such that the travel distance to pick a set of orders and the cost of damages associated with the order are minimized. This problem was formulated as a quadratic assignment problem and solved by CPLEX for the small and medium scale problems. A simple heuristic was introduced to solve for the large scale problem. This research refers to the warehouse operations of a large food retailer, Metro Inc. to understand the warehouse operations and improve the existing warehouse layout. However, the methods and results developed are not limited to the company. The results of the testing based on the industry partner proved that the multi-objective model and heuristic could significantly increase the efficiency of the order picking operation.
Recommended Citation
Armstrong, Kyle, "A multi-objective model for the storage location assignment problem" (2022). Electronic Theses and Dissertations. 8740.
https://scholar.uwindsor.ca/etd/8740