Work

A multi-step mixed integer programming heuristic for warehouse layout optimization

Year: 2024

Type: article

Abstract: Warehouse layout optimization is critical to inventory and logistics management in organizations. In many instances, limited warehouse space is a constraint and a barrier to expanding operations and increasing demand. We present a multi-step solution using mixed integer programming to improve space utilization and increase order retrieval and fulfillment efficiency. We present a real-world case study to demonstrate the applicability and efficiency of the proposed mixed integer programming heuristics at a large distribution center. • Present a mixed integer programming solution for warehouse layout optimization. • Show warehouse layout optimization, increase capacity, and improve order retrieval and fulfillment. • Demonstrate scalability, flexibility, and adaptability to multiple warehouse inventory systems. • Present a case study to demonstrate the applicability and efficiency of the models at a large distribution center. • Show the optimal layout increases storage space and reduces average order picking distance.

Source: Supply Chain Analytics

DOI: 10.1016/j.sca.2024.100088

Authors: Sanjaya Mayadunne, Hari K. Rajagopalan, Elizabeth Sharer

Institutions: Georgia Gwinnett College, Francis Marion University

Language: English

Topic: Advanced Manufacturing and Logistics Optimization

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,000