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Computers & Operations Research
Volume 32, Issue 3, March 2005, Pages 537-555
 
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doi:10.1016/j.cor.2003.08.002    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2003 Elsevier Ltd. All rights reserved.

A Lagrangean-based heuristic for multi-plant, multi-item, multi-period capacitated lot-sizing problems with inter-plant transfers

Murali SambasivanCorresponding Author Contact Information, E-mail The Corresponding Author, E-mail The Corresponding Author and Salleh Yahya

Graduate School of Management, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia

Available online 2 October 2003.

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Abstract

This paper addresses scheduling of lot sizes in a multi-plant, multi-item, multi-period, capacitated environment with inter-plant transfers. A real-world problem in a company manufacturing steel rolled products provided motivation to this research. A Lagrangean-based approach, embedded with a lot shifting–splitting–merging routine, has been used for solving the multi-plant, capacitated lot-sizing problem. A “good” solution procedure developed by Sambasivan (Ph.D. Dissertation, University of Alabama, Tuscaloosa, 1994) has been used for solving the relaxed problem. About 120 randomly generated instances of the problem have been solved and it has been found that Lagrangean-based approach works quite “efficiently” for this problem.

Author Keywords: Capacitated lot sizing; Lagrangean-based heuristic; Multi-plant production planning

Article Outline

1. Introduction
2. Mathematical model
3. A brief discussion on multi-plant, uncapacitated lot-sizing problem
4. Lagrangean-based heuristic for the multi-plant, capacitated lot-sizing problem
4.1. A special case of multi-plant lot-sizing problem
5. Experimental design and computational experience
5.1. Experimental design
5.2. Running instances of the problem using heuristic
5.3. Analysis of results
6. Conclusions
Acknowledgements
Appendix A
A.1. Details of reformulation of uncapacitated problem
A.2. Arc, cost, and other definitions
Appendix B
Results of statistical tests (significance LEVEL = 0.05)
References
Vitae




 
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