IDEAS home Printed from https://ideas.repec.org/a/spr/topjnl/v20y2012i3p679-706.html
   My bibliography  Save this article

A GRASP heuristic for the manufacturing cell formation problem

Author

Listed:
  • Juan Díaz
  • Dolores Luna
  • Ricardo Luna

Abstract

In this work, we address the Manufacturing Cell Formation Problem (MCFP). Cellular Manufacturing is a production strategy that has emerged to reduce materials handling and set up times in order to reduce lead times in production systems and to improve customer’s service levels while reducing costs. We propose a GRASP heuristic to obtain lower bounds for the optimal solution of the problem. To evaluate the performance of the proposed method, we test the heuristic with different instances from the literature and compare the results obtained with those provided by other heuristic methods from the literature. According to the obtained results, the proposed GRASP procedure provides good quality lower bounds with reasonable computational effort. Copyright Sociedad de Estadística e Investigación Operativa 2012

Suggested Citation

  • Juan Díaz & Dolores Luna & Ricardo Luna, 2012. "A GRASP heuristic for the manufacturing cell formation problem," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 679-706, October.
    • Handle: RePEc:spr:topjnl:v:20:y:2012:i:3:p:679-706
    DOI: 10.1007/s11750-010-0159-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11750-010-0159-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11750-010-0159-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stanfel, Larry E., 1985. "Machine clustering for economic production," Engineering Costs and Production Economics, Elsevier, vol. 9(1-3), pages 73-81, April.
    2. Sarker, Bhaba R., 2001. "Measures of grouping efficiency in cellular manufacturing systems," European Journal of Operational Research, Elsevier, vol. 130(3), pages 588-611, May.
    3. Ravi Kumar, K. & Kusiak, Andrew & Vannelli, Anthony, 1986. "Grouping of parts and components in flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 24(3), pages 387-397, March.
    4. Wu, Tai-Hsi & Chang, Chin-Chih & Yeh, Jinn-Yi, 2009. "A hybrid heuristic algorithm adopting both Boltzmann function and mutation operator for manufacturing cell formation problems," International Journal of Production Economics, Elsevier, vol. 120(2), pages 669-688, August.
    5. Mosier, Charles & Taube, Larry, 1985. "Weighted similarity measure heuristics for the group technology machine clustering problem," Omega, Elsevier, vol. 13(6), pages 577-579.
    6. William T. McCormick & Paul J. Schweitzer & Thomas W. White, 1972. "Problem Decomposition and Data Reorganization by a Clustering Technique," Operations Research, INFORMS, vol. 20(5), pages 993-1009, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Manash Hazarika, 2023. "An improved genetic algorithm for the machine-part cell formation problem," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 206-219, February.

    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. Stawowy, Adam, 2006. "Evolutionary strategy for manufacturing cell design," Omega, Elsevier, vol. 34(1), pages 1-18, January.
    2. Wu, Tai-Hsi & Chang, Chin-Chih & Yeh, Jinn-Yi, 2009. "A hybrid heuristic algorithm adopting both Boltzmann function and mutation operator for manufacturing cell formation problems," International Journal of Production Economics, Elsevier, vol. 120(2), pages 669-688, August.
    3. Wu, Tai-Hsi & Chung, Shu-Hsing & Chang, Chin-Chih, 2010. "A water flow-like algorithm for manufacturing cell formation problems," European Journal of Operational Research, Elsevier, vol. 205(2), pages 346-360, September.
    4. 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.
    5. Boutsinas, Basilis, 2013. "Machine-part cell formation using biclustering," European Journal of Operational Research, Elsevier, vol. 230(3), pages 563-572.
    6. R Bhatnagar & V Saddikuti, 2010. "Models for cellular manufacturing systems design: matching processing requirements and operator capabilities," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 827-839, May.
    7. Manojit Chattopadhyay & Sourav Sengupta & B.S. Sahay, 2016. "Visual hierarchical clustering of supply chain using growing hierarchical self-organising map algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 54(9), pages 2552-2571, May.
    8. Jose Joaquin del Pozo-Antúnez & Francisco Fernández-Navarro & Horacio Molina-Sánchez & Antonio Ariza-Montes & Mariano Carbonero-Ruz, 2021. "The Machine-Part Cell Formation Problem with Non-Binary Values: A MILP Model and a Case of Study in the Accounting Profession," Mathematics, MDPI, vol. 9(15), pages 1-16, July.
    9. Manash Hazarika, 2023. "An improved genetic algorithm for the machine-part cell formation problem," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 206-219, February.
    10. Ricardo Soto & Broderick Crawford & Rodrigo Olivares & César Carrasco & Eduardo Rodriguez-Tello & Carlos Castro & Fernando Paredes & Hanns de la Fuente-Mella, 2020. "A Reactive Population Approach on the Dolphin Echolocation Algorithm for Solving Cell Manufacturing Systems," Mathematics, MDPI, vol. 8(9), pages 1-25, August.
    11. Ahmadi, Reza H. & Matsuo, Hirofumi, 2000. "A mini-line approach for pull production," European Journal of Operational Research, Elsevier, vol. 125(2), pages 340-358, September.
    12. Berardi, Victor L. & Zhang, Guoqiang & Felix Offodile, O., 1999. "A mathematical programming approach to evaluating alternative machine clusters in cellular manufacturing," International Journal of Production Economics, Elsevier, vol. 58(3), pages 253-264, January.
    13. R Torres-Velázquez & V Estivill-Castro, 2004. "Local search for Hamiltonian Path with applications to clustering visitation paths," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(7), pages 737-748, July.
    14. Wittek, Peter, 2013. "Two-way incremental seriation in the temporal domain with three-dimensional visualization: Making sense of evolving high-dimensional datasets," Computational Statistics & Data Analysis, Elsevier, vol. 66(C), pages 193-201.
    15. Rogers, David F. & Kulkarni, Shailesh S., 2005. "Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing," European Journal of Operational Research, Elsevier, vol. 160(2), pages 423-444, January.
    16. Mohamed, Zubair M. & Kumar, Ashok & Motwani, Jaideep, 1999. "An improved part grouping model for minimizing makespan in FMS," European Journal of Operational Research, Elsevier, vol. 116(1), pages 171-182, July.
    17. Geert Soete & Wayne DeSarbo & George Furnas & J. Carroll, 1984. "The estimation of ultrametric and path length trees from rectangular proximity data," Psychometrika, Springer;The Psychometric Society, vol. 49(3), pages 289-310, September.
    18. Hahsler, Michael, 2017. "An experimental comparison of seriation methods for one-mode two-way data," European Journal of Operational Research, Elsevier, vol. 257(1), pages 133-143.
    19. D'Alfonso, Thomas H. & Ventura, Jose A., 1995. "Assignment of tools to machines in a flexible manufacturing system," European Journal of Operational Research, Elsevier, vol. 81(1), pages 115-133, February.
    20. Yang, Miin-Shen & Hung, Wen-Liang & Cheng, Fu-Chou, 2006. "Mixed-variable fuzzy clustering approach to part family and machine cell formation for GT applications," International Journal of Production Economics, Elsevier, vol. 103(1), pages 185-198, September.

    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:spr:topjnl:v:20:y:2012:i:3:p:679-706. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.