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A novel approach to determine the cell formation using heuristics approach

Author

Listed:
  • Shruti Shashikumar

    (K.J. Somaiya College of Engineering)

  • Rakesh D. Raut

    (National Institute of Industrial Engineering (NITIE))

  • Vaibhav S. Narwane

    (Veermata Jijabai Technological Institute (VJTI))

  • Bhaskar B. Gardas

    (Veermata Jijabai Technological Institute (VJTI))

  • Balkrishna E. Narkhede

    (National Institute of Industrial Engineering (NITIE))

  • Anjali Awasthi

    (Concordia University)

Abstract

Cellular manufacturing is a vital part of lean manufacturing. It is an application of group technology. Three problems in cellular manufacturing are cell formation, machine layout and cell layout problems. However, these problems are NP-hard optimisation problems and cannot be solved using exact methods. A difficult part is to form the machine groups or cells, also called Cell Formation Problem and several techniques have been proposed to solve the same. In this paper, the Cell Formation Problem is solved using an integrated approach of heuristics along with Genetic Algorithm and Membership Index. Heuristics technique is used for domain selection which is used in Genetic Algorithm as the initial population. Genetic Algorithm is useful for optimising the results of machine assignment to cells, and Membership Index is used to assign parts to the cells. The performance is analysed using performance measures such as group technology efficiency and some exceptional elements. The proposed computational methodology is tested on standard problems of diverse size from literature papers using the hybrid approach. Results from test problems show that the proposed method is effective and efficient. The paper is useful from the practicality aspect and also relevant from current research and industry trends.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:opsear:v:56:y:2019:i:3:d:10.1007_s12597-019-00381-4
    DOI: 10.1007/s12597-019-00381-4
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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. W.E. Wilhelm & C.C. Chiou & D.B. Chang, 1998. "Integrating design and planning considerations in cellular manufacturing," Annals of Operations Research, Springer, vol. 77(0), pages 97-107, January.
    3. Vishwanath Ramabhatta & Rakesh Nagi, 1998. "An integrated formulation of manufacturing cell formation with capacity planning and multiple routings," Annals of Operations Research, Springer, vol. 77(0), pages 79-95, January.
    4. John S. Morris & Richard J. Tersine, 1990. "A Simulation Analysis of Factors Influencing the Attractiveness of Group Technology Cellular Layouts," Management Science, INFORMS, vol. 36(12), pages 1567-1578, December.
    5. John M. Mulvey & Harlan P. Crowder, 1979. "Cluster Analysis: An Application of Lagrangian Relaxation," Management Science, INFORMS, vol. 25(4), pages 329-340, April.
    6. I. Jerin Leno & S. Saravana Sankar & S. G. Ponnambalam, 2018. "MIP model and elitist strategy hybrid GA–SA algorithm for layout design," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 369-387, February.
    7. Xambre, Ana R. & Vilarinho, Pedro M., 2003. "A simulated annealing approach for manufacturing cell formation with multiple identical machines," European Journal of Operational Research, Elsevier, vol. 151(2), pages 434-446, December.
    8. Antonio Costa & Fulvio Antonio Cappadonna & Sergio Fichera, 2017. "A hybrid genetic algorithm for minimizing makespan in a flow-shop sequence-dependent group scheduling problem," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1269-1283, August.
    9. Yong Yin & Kathryn E. Stecke & Dongni Li, 2018. "The evolution of production systems from Industry 2.0 through Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 848-861, January.
    10. Ravi Kumar & Surya Prakash Singh, 2017. "Designing robust stochastic bi-objective cellular layout in manufacturing systems," International Journal of Management Concepts and Philosophy, Inderscience Enterprises Ltd, vol. 10(2), pages 147-164.
    11. Irina E. Utkina & Mikhail V. Batsyn & Ekaterina K. Batsyna, 2018. "A branch-and-bound algorithm for the cell formation problem," International Journal of Production Research, Taylor & Francis Journals, vol. 56(9), pages 3262-3273, May.
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