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Tabu Search Based Hybrid Meta-Heuristic Approaches for Schedule-Based Production Cost Minimization Problem for the Case of Cable Manufacturing Systems
Volume 33, Issue 3 (2022), pp. 499–522
Pub. online: 4 January 2022      Type: Research Article      Open accessOpen Access
Received
1 February 2021
Accepted
1 December 2021
Published
4 January 2022

Abstract

This paper models and solves the scheduling problem of cable manufacturing industries that minimizes the total production cost, including processing, setup, and storing costs. Two hybrid meta-heuristics, which combine simulated annealing and variable neighbourhood search algorithms with tabu search algorithm, are proposed. Applying some case-based theorems and rules, a special initial solution with optimal setup cost is obtained for the algorithms. The computational experiments, including parameter tuning and final experiments over the benchmarks obtained from a real cable manufacturing factory, show superiority of the combination of tabu search and simulated annealing comparing to the other proposed hybrid and classical meta-heuristics.

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Biographies

Daneshdoost Fereshteh

F. Daneshdoost is a lecturer with MSc degree of industrial engineering in Firouzabad Institute of Higher Education, Iran.

Hajiaghaei-Keshteli Mostafa
https://orcid.org/0000-0002-9988-2626
mostafahaji@tec.mx

M. Hajiaghaei-Keshteli is an assistant professor of industrial engineering in University of Science and Technology of Mazandaran, Behshahr, Iran. His research interests are operations research and exact and meta-heuristic solution approaches.

Sahin Ramazan

R. Sahin in an associate professor of industrial engineering in Gazi University in Turkey. He received his PhD degree in industrial engineering from Gazi University. His research interests are operations research, fuzzy theory, and exact and meta-heuristic solution approaches.

Niroomand Sadegh
sadegh.niroomand@yahoo.com

S. Niroomand is an associate professor of industrial engineering in Firouzabad Institute of Higher Education in Iran. He received his PhD degree in industrial engineering from Eastern Mediterranean University (in Turkey), in 2013. His research interests are operations research, fuzzy theory, and exact and meta-heuristic solution approaches.


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© 2022 Vilnius University
Open access article under the CC BY license.

Keywords
scheduling theory single machine scheduling cable manufacturing hybrid meta-heuristic tabu search

Funding
This study was supported by Firouzabad Institute of Higher Education, Iran (research project no. 1399.001). The authors are grateful of the financial support.

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