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Growing Science » International Journal of Industrial Engineering Computations » Multi-objective group scheduling with learning effect in the cellular manufacturing system

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International Journal of Industrial Engineering Computations
ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 2 Issue 3 pp. 617-630, 2011

Multi-objective group scheduling with learning effect in the cellular manufacturing system Pages 617-630 Right click to download the paper Download PDF

Authors: Mohammad Taghi Taghavi-farda, Hassan Javanshir, Mohammad Ali Roueintan, Ehsan Soleimany

📋 Author Affiliations:
Mohammad Taghi Taghavi-Fard, Hassan Javanshir ORCID , Mohammad Ali Roueintan, Ehsan Soleimany
¹ Department of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran
doi 10.5267/j.ijiec.2011.02.002
7 Source: Scopus
Crossref 3 Source: CrossRef

🔑 Keywords: Cellular manufacturing system, Group scheduling, Learning effect, Multi-objective optimization

Abstract: Group scheduling problem in cellular manufacturing systems consists of two major steps. Sequence of parts in each part-family and the sequence of part-family to enter the cell to be processed. This paper presents a new method for group scheduling problems in flow shop systems where it minimizes makespan (Cmax) and total tardiness. In this paper, a position-based learning model in cellular manufacturing system is utilized where processing time for each part-family depends on the entrance sequence of that part. The problem of group scheduling is modeled by minimizing two objectives of position-based learning effect as well as the assumption of setup time depending on the sequence of parts-family. Since the proposed problem is NP-hard, two meta heuristic algorithms are presented based on genetic algorithm, namely: Non-dominated sorting genetic algorithm (NSGA-II) and non-dominated rank genetic algorithm (NRGA). The algorithms are tested using randomly generated problems. The results include a set of Pareto solutions and three different evaluation criteria are used to compare the results. The results indicate that the proposed algorithms are quite efficient to solve the problem in a short computational time.

How to cite this paper
APA: Taghavi-farda, M., Javanshir, H., Roueintan, M & Soleimany, E. (2011). Multi-objective group scheduling with learning effect in the cellular manufacturing system. International Journal of Industrial Engineering Computations, 2(3), 617-630.
Chicago/Turabian: Taghavi-farda, M., Javanshir, H., Roueintan, M & Soleimany, E. 2011. "Multi-objective group scheduling with learning effect in the cellular manufacturing system." International Journal of Industrial Engineering Computations 2, no. 3 (2011): 617-630.
AMA: Taghavi-farda, M., Javanshir, H., Roueintan, M & Soleimany, E. Multi-objective group scheduling with learning effect in the cellular manufacturing system. International Journal of Industrial Engineering Computations. 2011;2(3):617-630.

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📚 Journal: International Journal of Industrial Engineering Computations | 📅 Year: 2011 | 📖 Volume: 2 | 📄 Issue: 3 | 👁️ Views: 2658 | 📊 Crossref: 3

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