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Sustainability Formation of Machine Cells in Group Technology Systems Using Modified Artificial Bee Colony Algorithm

Author

Listed:
  • Adinarayanan Arunagiri

    (Department of Mechanical Engineering, Dhaanish Ahmed College of Engineering, Chennai 601301, India)

  • Uthayakumar Marimuthu

    (Faculty of Mechanical Engineering, Kalasalingam University, Krishnankovil 626126, India)

  • Prabhakaran Gopalakrishnan

    (Department of Mechanical Engineering, KCG College of Technology, Chennai 600097, India)

  • Adam Slota

    (Institute of Production Engineering, Cracow University of Technology, 31-155 Krakow, Poland)

  • Jerzy Zajac

    (Institute of Production Engineering, Cracow University of Technology, 31-155 Krakow, Poland)

  • Maheandera Prabu Paulraj

    (Department of Mechanical Engineering, Indian Institute of Technology Indore, Simrol, Indore 453552, India)

Abstract

The efficiency and sustainability of a cellular manufacturing system (CMS) in batch type manufacturing is highly valued. This is done using a systematic method of equipment into machine cells, and components into part families, based on the suitable similar criteria. The present work discusses the cell formation problem, with the objective of minimizing the cumulative cell load variation and cumulative intercellular moves. The quantity of parts, operation sequences, processing time, capacity of machines, and workload of machineries were considered as parameters. For the grouping of equipment, the modified artificial bee colony (MABC) algorithm is considered. The computational procedure of this approach is explained by using up to 40 machines and 100 part types. The result obtained from MABC is compared with the findings acquired from the genetic algorithm (GA) and ant colony system (ACS) in the literature.

Suggested Citation

  • Adinarayanan Arunagiri & Uthayakumar Marimuthu & Prabhakaran Gopalakrishnan & Adam Slota & Jerzy Zajac & Maheandera Prabu Paulraj, 2017. "Sustainability Formation of Machine Cells in Group Technology Systems Using Modified Artificial Bee Colony Algorithm," Sustainability, MDPI, vol. 10(1), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2017:i:1:p:42-:d:124582
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    References listed on IDEAS

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    1. Venugopal, V. & Narendran, T. T., 1992. "Cell formation in manufacturing systems through simulated annealing: An experimental evaluation," European Journal of Operational Research, Elsevier, vol. 63(3), pages 409-422, December.
    2. Chen, W. -H. & Srivastava, B., 1994. "Simulated annealing procedures for forming machine cells in group technology," European Journal of Operational Research, Elsevier, vol. 75(1), pages 100-111, May.
    3. Zahra Pooranian & Mohammad Shojafar & Jemal H. Abawajy & Ajith Abraham, 2015. "An efficient meta-heuristic algorithm for grid computing," Journal of Combinatorial Optimization, Springer, vol. 30(3), pages 413-434, October.
    4. J. E. King, 1999. "Introduction," Review of Political Economy, Taylor & Francis Journals, vol. 11(3), pages 251-255.
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