IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2017i1p42-d124582.html

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/1/42/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/1/42/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. J. E. King, 1999. "Introduction," Review of Political Economy, Taylor & Francis Journals, vol. 11(3), pages 251-255.
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. C.K.Y. Lin & Haley, K. B. & Sparks, C., 1995. "A comparative study of both standard and adaptive versions of threshold accepting and simulated annealing algorithms in three scheduling problems," European Journal of Operational Research, Elsevier, vol. 83(2), pages 330-346, June.
    2. J E King, 2006. "Imperfectionism in Macroeconomics: New Light on an Old Controversy," Economic Issues Journal Articles, Economic Issues, vol. 11(2), pages 39-50, September.
    3. Wanting Zhang & Ming Zeng & Peng Guo & Kun Wen, 2022. "Variable Neighborhood Search for Multi-Cycle Medical Waste Recycling Vehicle Routing Problem with Time Windows," IJERPH, MDPI, vol. 19(19), pages 1-25, October.
    4. Bendreff Desilus, 2020. "Fiscal Policy in Argentina, Brazil, and Mexico and the 2030 Agenda for Sustainable Development," Economics Working Paper Archive wp_960, Levy Economics Institute.
    5. Ewald Walterskirchen, 2016. "Neukeynesianismus und Postkeynesianismus: Was für ein Unterschied!," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 42(3), pages 405-430.
    6. Xin Zhang & Dexuan Zou & Xin Shen, 2018. "A Novel Simple Particle Swarm Optimization Algorithm for Global Optimization," Mathematics, MDPI, vol. 6(12), pages 1-34, November.
    7. Mohit Agarwal & Gur Mauj Saran Srivastava, 2018. "Genetic Algorithm-Enabled Particle Swarm Optimization (PSOGA)-Based Task Scheduling in Cloud Computing Environment," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1237-1267, July.
    8. John G. Klincewicz & Arvind Rajan, 1994. "Using grasp to solve the component grouping problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(7), pages 893-912, December.
    9. Anantaram Balakrishnan & François Vanderbeck, 1999. "A Tactical Planning Model for Mixed-Model Electronics Assembly Operations," Operations Research, INFORMS, vol. 47(3), pages 395-409, June.
    10. Floor Brouwer & Lydia Vamvakeridou-Lyroudia & Eva Alexandri & Ingrida Bremere & Matthew Griffey & Vincent Linderhof, 2018. "The Nexus Concept Integrating Energy and Resource Efficiency for Policy Assessments: A Comparative Approach from Three Cases," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    11. James Holehouse & Hector Pollitt, 2022. "Non-equilibrium time-dependent solution to discrete choice with social interactions," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-30, May.
    12. Yi Cui & Jian Mou & Jason Cohen & Yanping Liu, 2019. "Understanding information system success model and valence framework in sellers’ acceptance of cross-border e-commerce: a sequential multi-method approach," Electronic Commerce Research, Springer, vol. 19(4), pages 885-914, December.
    13. Eckhard Hein, 2017. "Post-Keynesian macroeconomics since the mid 1990s: main developments," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 14(2), pages 131-172, September.
    14. Elías Berriochoa & Alicia Cachafeiro & Héctor García Rábade & José Manuel García-Amor, 2021. "Mechanical Models for Hermite Interpolation on the Unit Circle," Mathematics, MDPI, vol. 9(9), pages 1-19, May.
    15. Nair, G. Jayakrishnan & Narendran, T. T., 1997. "On the use of the asymptotic forms of the boolean matrix for designing cellular manufacturing systems -- An improved approach," European Journal of Operational Research, Elsevier, vol. 100(3), pages 429-440, August.
    16. Drakopoulos, Stavros A., 2021. "Theories of Consumption," MPRA Paper 108215, University Library of Munich, Germany.
    17. Shruti Shashikumar & Rakesh D. Raut & Vaibhav S. Narwane & Bhaskar B. Gardas & Balkrishna E. Narkhede & Anjali Awasthi, 2019. "A novel approach to determine the cell formation using heuristics approach," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 628-656, September.
    18. Berna H. Ulutas, 2019. "An immune system based algorithm for cell formation problem," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2835-2852, December.
    19. Peter Docherty, 2021. "A Short Period Sraffa-Keynes Model for the Evaluation of Monetary Policy," Working Paper Series 2021/01, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    20. Colin Fenwick, 2006. "How Low Can You Go? Minimum Working Conditions under Australia's New Labour Laws," The Economic and Labour Relations Review, , vol. 16(2), pages 85-126, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2017:i:1:p:42-:d:124582. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.