Document Type

Article

Publication Date

2006

Publication Title

International Journal of Operations Research

Volume

3

Issue

2

Pages

136-143

Abstract

This paper addresses the problem of batch scheduling in an unrelated parallel machine environment with sequence dependent setup times and an objective of minimizing the total weighted mean completion time. The jobs' processing times and setup times are stochastic for better depiction of the real world. This is a NP-hard problem and in this paper, new heuristics are developed and compared to existing ones using simulation. The results and analysis obtained from the computational experiments proved the superiority of the proposed algorithm PMWP over the other algorithms presented.

Comments

Published under a Creative Commons Attribution License 4.0 (CC BY 4.0)

https://creativecommons.org/licenses/by/4.0/

ORCID

0000-0003-1590-4494 (Arnaout), 0000-0001-8145-313X (Rabadi)

Original Publication Citation

Arnaout, J.-P., Rabadi, G., & Mun, J. H. (2006). A dynamic heuristic for the stochastic unrelated parallel machine scheduling problem. International Journal of Operations Research, 3(2), 136-143.

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