IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v54y2016i22p6736-6746.html
   My bibliography  Save this article

Robot and machine scheduling with state-dependent part input sequencing in flexible manufacturing systems

Author

Listed:
  • Yumin He
  • Kathryn E. Stecke
  • Milton L. Smith

Abstract

In competitive global markets, it is important to meet customer demands on multiple priorities such as price, quality, customisation and quick delivery. This paper investigates the problems of part input sequencing and scheduling in flexible manufacturing systems in a mass customisation/mass personalisation (MC/MP) environment. Both robot and machine scheduling rules using a state-dependent part input sequencing algorithm are investigated. Simulation experiments and statistical analyses are carried out. Effective rules are identified. The results show interactions between robot scheduling and machine scheduling in the MC/MP environment. Further research suggestions are provided.

Suggested Citation

  • Yumin He & Kathryn E. Stecke & Milton L. Smith, 2016. "Robot and machine scheduling with state-dependent part input sequencing in flexible manufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6736-6746, November.
  • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:22:p:6736-6746
    DOI: 10.1080/00207543.2016.1161252
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2016.1161252
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2016.1161252?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. Kathryn E. Stecke, 1983. "Formulation and Solution of Nonlinear Integer Production Planning Problems for Flexible Manufacturing Systems," Management Science, INFORMS, vol. 29(3), pages 273-288, March.
    2. Kingsman, Brian & Hendry, Linda & Mercer, Alan & de Souza, Antonio, 1996. "Responding to customer enquiries in make-to-order companies Problems and solutions," International Journal of Production Economics, Elsevier, vol. 46(1), pages 219-231, December.
    3. Fernandes, Nuno Octavio & do Carmo-Silva, Silvio, 2006. "Generic POLCA--A production and materials flow control mechanism for quick response manufacturing," International Journal of Production Economics, Elsevier, vol. 104(1), pages 74-84, November.
    4. Yumin He & Ram Rachamadugu & Milton L. Smith & Kathryn E. Stecke, 2015. "Segment set-based part input sequencing in flexible manufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 53(17), pages 5106-5117, September.
    5. Stecke, Kathryn E., 1986. "A hierarchical approach to solving machine grouping and loading problems of flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 24(3), pages 369-378, March.
    6. Kim, Yeong-Dae & Lee, Dong-Ho & Yoon, Chi-Moon, 2001. "Two-stage heuristic algorithms for part input sequencing in flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 133(3), pages 624-634, September.
    7. Mohammed Berrada & Kathryn E. Stecke, 1986. "A Branch and Bound Approach for Machine Load Balancing in Flexible Manufacturing Systems," Management Science, INFORMS, vol. 32(10), pages 1316-1335, October.
    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. Atan, Tankut S. & Pandit, Ram, 1996. "Auxiliary tool allocation in flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 89(3), pages 642-659, March.
    2. Kumar, Akhilesh & Prakash & Tiwari, M.K. & Shankar, Ravi & Baveja, Alok, 2006. "Solving machine-loading problem of a flexible manufacturing system with constraint-based genetic algorithm," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1043-1069, December.
    3. Potts, C. N. & Whitehead, J. D., 2001. "Workload balancing and loop layout in the design of a flexible manufacturing system," European Journal of Operational Research, Elsevier, vol. 129(2), pages 326-336, March.
    4. Soares, Leonardo Cabral R. & Carvalho, Marco Antonio M., 2020. "Biased random-key genetic algorithm for scheduling identical parallel machines with tooling constraints," European Journal of Operational Research, Elsevier, vol. 285(3), pages 955-964.
    5. Crama, Yves, 1997. "Combinatorial optimization models for production scheduling in automated manufacturing systems," European Journal of Operational Research, Elsevier, vol. 99(1), pages 136-153, May.
    6. Gaalman, G. J. C. & Nawijn, W. M., 1996. "Tool sharing in parallel part production," International Journal of Production Economics, Elsevier, vol. 46(1), pages 521-533, December.
    7. Bennett, Derek P. & Yano, Candace A., 2004. "A decomposition approach for an equipment selection and multiple product routing problem incorporating environmental factors," European Journal of Operational Research, Elsevier, vol. 156(3), pages 643-664, August.
    8. K. C. Bhosale & P. J. Pawar, 2019. "Material flow optimisation of production planning and scheduling problem in flexible manufacturing system by real coded genetic algorithm (RCGA)," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 381-423, June.
    9. Koltai, Tamas & Lozano, Sebastian, 1998. "Sensitivity calculation of the throughput of an FMS with respect to the routing mix using perturbation analysis," European Journal of Operational Research, Elsevier, vol. 105(3), pages 483-493, March.
    10. J. Smith, 2015. "Optimal workload allocation in closed queueing networks with state dependent queues," Annals of Operations Research, Springer, vol. 231(1), pages 157-183, August.
    11. Beezão, Andreza Cristina & Cordeau, Jean-François & Laporte, Gilbert & Yanasse, Horacio Hideki, 2017. "Scheduling identical parallel machines with tooling constraints," European Journal of Operational Research, Elsevier, vol. 257(3), pages 834-844.
    12. Cakravastia, Andi & Toha, Isa S. & Nakamura, Nobuto, 2002. "A two-stage model for the design of supply chain networks," International Journal of Production Economics, Elsevier, vol. 80(3), pages 231-248, December.
    13. Matthias Thürer & Nuno O. Fernandes & Mark Stevenson & Cristovao Silva & Silvio Carmo-Silva, 2019. "POLC-A: an assessment of POLCA’s authorization element," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2435-2447, August.
    14. 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.
    15. Land, Martin J., 2009. "Cobacabana (control of balance by card-based navigation): A card-based system for job shop control," International Journal of Production Economics, Elsevier, vol. 117(1), pages 97-103, January.
    16. Henrich, Peter & Land, Martin & Gaalman, Gerard, 2006. "Grouping machines for effective workload control," International Journal of Production Economics, Elsevier, vol. 104(1), pages 125-142, November.
    17. Linda Zhang & Carman K.M. Lee & Pervaiz Akhtar, 2020. "Towards customization: Evaluation of integrated sales, product, and production configuration," Post-Print hal-03276827, HAL.
    18. Matzliach, Barouch & Tzur, Michal, 2000. "Storage management of items in two levels of availability," European Journal of Operational Research, Elsevier, vol. 121(2), pages 363-379, March.
    19. Alireza Farnoush & Magnus Wiktorsson, 2013. "POLCA and CONWIP performance in a divergent production line: an automotive case study," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 159-186, July.
    20. M. Selim Akturk & Jay B. Ghosh & Evrim D. Gunes, 2003. "Scheduling with tool changes to minimize total completion time: A study of heuristics and their performance," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(1), pages 15-30, February.

    More about this item

    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:taf:tprsxx:v:54:y:2016:i:22:p:6736-6746. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.