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Computers & Operations Research
Volume 33, Issue 1, January 2006, Pages 43-63
 
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doi:10.1016/j.cor.2004.06.002    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2004 Elsevier Ltd All rights reserved.

Multiple crossdocks with inventory and time windows

Ping Chena, Yunsong Guob, Andrew Limc and Brian Rodriguesd, Corresponding Author Contact Information, E-mail The Corresponding Author

aDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA bDepartment of Computer Science, National University of Singapore, 3 Science Drive 2, Singapore 117543, Singapore cDepartment of IEEM, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong dSchool of Business, Singapore Management University, 469 Bukit Timah Road, Singapore 259756, Singapore

Available online 23 August 2004.

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Abstract

Crossdocking studies have mostly been concerned with the physical layout of a crossdock or on a single crossdock. In this work, we study a network of crossdocks taking into consideration delivery and pickup time windows, warehouse capacities and inventory-handling costs. Because of the complexity of the problem, local search techniques are developed and used with simulated annealing and tabu search heuristics. Extensive experiments were conducted and results show that the heuristics outperform CPLEX, providing solutions in realistic timescales.

Keywords: Crossdocking; JIT; Heuristics

Article Outline

1. Introduction
2. The multiple crossdock problem
2.1. Background
2.2. Problem description
2.3. The model
2.3.1. Sketch of proof of View the MathML source-completeness
3. Initial solutions
3.1. A greedy method
4. Heuristics
4.1. Neighborhood search
4.2. Using simulated annealing
4.3. Using tabu search
4.3.1. The tabu list
4.4. Integrating SA with TS
5. Experiments
5.1. Test data generation
5.2. Implementation
5.3. Results and analysis
5.3.1. Comparisons between greedy methods for initial solutions
5.3.2. Comparison between CPLEX and heuristics
5.3.3. Comparisons with parameter settings
5.3.4. Comparison among heuristics
6. Conclusions
References




 
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