IDEAS home Printed from https://ideas.repec.org/a/wly/navres/v48y2001i2p128-143.html
   My bibliography  Save this article

Analysis of a production system in a general configuration

Author

Listed:
  • Zhao Xiaobo
  • Qiguo Gong
  • Kenichi Nakashima

Abstract

We consider a production system comprising multiple stations (or workshops) such as an entry station, a set of work stations, a central station, and an exit station, which are arranged in a general configuration. A worker (or a vehicle tool) is assigned to each station, who sends a part from the station to the destination station according to the required process path of the part. Any part is allowed to visit a work station more than once if its process path requires. We propose a new control strategy with the push policy for instructing each worker to send a part and the kanban mechanism for controlling the work‐in‐process (WIP) in each work station. As all work stations have limited local buffers, the central station is used for storing blocked parts temporarily. Such a production system is modeled as an open queueing network in a general configuration with a Markovian part sending policy and a machine no blocking mechanism. The queueing network is analytically characterized. Some important performance measures are compared with other control strategies. A semi‐open decomposition approach is applied to the queueing network for computing the blocking probabilities when parts arrive at the work stations. An algorithm is developed based on the semi‐open decomposition approach. Numerical experiments show the quality of the solutions obtained by the algorithm as well as a property of a performance measure. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 128–143, 2001

Suggested Citation

  • Zhao Xiaobo & Qiguo Gong & Kenichi Nakashima, 2001. "Analysis of a production system in a general configuration," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(2), pages 128-143, March.
    • Handle: RePEc:wly:navres:v:48:y:2001:i:2:p:128-143
    DOI: 10.1002/1520-6750(200103)48:23.0.CO;2-1
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/1520-6750(200103)48:23.0.CO;2-1
    Download Restriction: no
    File URL: https://libkey.io/10.1002/1520-6750(200103)48:23.0.CO;2-1?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
    ---><---

    References listed on IDEAS

    as
    1. Tayur, S.R., 1992. "Properties of Serial Kanban Systems," GSIA Working Papers 1992-06, Carnegie Mellon University, Tepper School of Business.
    2. J. A. Buzacott & David D. Yao, 1986. "Flexible Manufacturing Systems: A Review of Analytical Models," Management Science, INFORMS, vol. 32(7), pages 890-905, July.
    3. Debasis Mitra & Isi Mitrani, 1991. "Analysis of a Kanban Discipline for Cell Coordination in Production Lines, II: Stochastic Demands," Operations Research, INFORMS, vol. 39(5), pages 807-823, October.
    4. Pandey, P. C. & Khokhajaikiat, Porntep, 1996. "Performance modeling of multistage production systems operating under hybrid push/pull control," International Journal of Production Economics, Elsevier, vol. 43(2-3), pages 115-126, June.
    5. Maria Di Mascolo & Yannick Frein & Yves Dallery, 1996. "An Analytical Method for Performance Evaluation of Kanban Controlled Production Systems," Operations Research, INFORMS, vol. 44(1), pages 50-64, February.
    6. Mark L. Spearman & Michael A. Zazanis, 1992. "Push and Pull Production Systems: Issues and Comparisons," Operations Research, INFORMS, vol. 40(3), pages 521-532, June.
    7. Pandey, P. C. & Khokhajaikiat, Porntep, 1996. "Performance modeling of multistage production systems operating under hybrid push/pull control," International Journal of Production Economics, Elsevier, vol. 43(1), pages 17-28, May.
    8. Zhuang, Li & Hindi, Khalil S., 1993. "Approximate decomposition for closed queueing network models of FMSs with a block-and-wait and state-dependent routing mechanism," European Journal of Operational Research, Elsevier, vol. 67(3), pages 373-386, June.
    9. Mascolo, Maria Di, 1996. "Analysis of a synchronization station for the performance evaluation of a kanban system with a general arrival process of demands," European Journal of Operational Research, Elsevier, vol. 89(1), pages 147-163, February.
    10. Debasis Mitra & Isi Mitrani, 1990. "Analysis of a Kanban Discipline for Cell Coordination in Production Lines. I," Management Science, INFORMS, vol. 36(12), pages 1548-1566, December.
    11. Mark L. Spearman, 1992. "Customer Service in Pull Production Systems," Operations Research, INFORMS, vol. 40(5), pages 948-958, October.
    12. Sridhar R. Tayur, 1993. "Structural Properties and a Heuristic for Kanban-Controlled Serial Lines," Management Science, INFORMS, vol. 39(11), pages 1347-1368, November.
    13. Jean-Luc Deleersnyder & Thom J. Hodgson & Henri Muller-Malek & Peter J. O'Grady, 1989. "Kanban Controlled Pull Systems: An Analytic Approach," Management Science, INFORMS, vol. 35(9), pages 1079-1091, September.
    14. Xiaobo, Zhao & Zhou, Zhaoying, 1999. "A semi-open decomposition approach for an open queueing network in a general configuration with a kanban blocking mechanism," International Journal of Production Economics, Elsevier, vol. 60(1), pages 375-380, April.
    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. Ping-Chen Chang, 2019. "Reliability estimation for a stochastic production system with finite buffer storage by a simulation approach," Annals of Operations Research, Springer, vol. 277(1), pages 119-133, June.
    2. Chang, Ping-Chen & Lin, Yi-Kuei & Chiang, Yu-Min, 2019. "System reliability estimation and sensitivity analysis for multi-state manufacturing network with joint buffers––A simulation approach," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 103-109.

    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. Ou, Jihong & Jiang, Jiong, 1997. "Yield comparison of push and pull control methods on production systems with unreliable machines," International Journal of Production Economics, Elsevier, vol. 50(1), pages 1-12, May.
    2. Kim, Ilhyung & Tang, Christopher S., 1997. "Lead time and response time in a pull production control system," European Journal of Operational Research, Elsevier, vol. 101(3), pages 474-485, September.
    3. Iwase, Masaharu & Ohno, Katsuhisa, 2011. "The performance evaluation of a multi-stage JIT production system with stochastic demand and production capacities," European Journal of Operational Research, Elsevier, vol. 214(2), pages 216-222, October.
    4. Yucesan, Enver & de Groote, Xavier, 2000. "Lead times, order release mechanisms, and customer service," European Journal of Operational Research, Elsevier, vol. 120(1), pages 118-130, January.
    5. Kojima, Mitsutoshi & Nakashima, Kenichi & Ohno, Katsuhisa, 2008. "Performance evaluation of SCM in JIT environment," International Journal of Production Economics, Elsevier, vol. 115(2), pages 439-443, October.
    6. Wilhelm, W. E. & Som, Pradip, 1998. "Analysis of a single-stage, single-product, stochastic, MRP-controlled assembly system," European Journal of Operational Research, Elsevier, vol. 108(1), pages 74-93, July.
    7. Cigdem Gurgur, 2013. "Optimal configuration of a decentralized, market-driven production/inventory system," Annals of Operations Research, Springer, vol. 209(1), pages 139-157, October.
    8. Papadopoulos, H. T. & Heavey, C., 1996. "Queueing theory in manufacturing systems analysis and design: A classification of models for production and transfer lines," European Journal of Operational Research, Elsevier, vol. 92(1), pages 1-27, July.
    9. Houmin Yan & Xun Yu Zhou & G. Yin, 1999. "Approximating an Optimal Production Policy in a Continuous Flow Line: Recurrence and Asymptotic Properties," Operations Research, INFORMS, vol. 47(4), pages 535-549, August.
    10. Takahashi, Katsuhiko & Morikawa, Katsumi & Nakamura, Nobuto, 2004. "Reactive JIT ordering system for changes in the mean and variance of demand," International Journal of Production Economics, Elsevier, vol. 92(2), pages 181-196, November.
    11. Park, Chan-Woo & Lee, Hyo-Seong, 2013. "Performance evaluation of a multi-product CONWIP assembly system with correlated external demands," International Journal of Production Economics, Elsevier, vol. 144(1), pages 334-344.
    12. Subba Rao, S. & Gunasekaran, A. & Goyal, S. K. & Martikainen, T., 1998. "Waiting line model applications in manufacturing," International Journal of Production Economics, Elsevier, vol. 54(1), pages 1-28, January.
    13. Askin, Ronald G. & Krishnan, Shravan, 2009. "Defining inventory control points in multiproduct stochastic pull systems," International Journal of Production Economics, Elsevier, vol. 120(2), pages 418-429, August.
    14. Wallace J. Hopp & Mark L. Spearman, 2004. "To Pull or Not to Pull: What Is the Question?," Manufacturing & Service Operations Management, INFORMS, vol. 6(2), pages 133-148, August.
    15. Mark Vroblefski & R. Ramesh & Stanley Zionts, 2000. "General Open and Closed Queueing Networks with Blocking: A Unified Framework for Approximation," INFORMS Journal on Computing, INFORMS, vol. 12(4), pages 299-316, November.
    16. Cigdem Z. Gurgur & Tayfur Altiok, 2007. "Analysis of decentralized multi‐product pull systems with lost sales," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(4), pages 357-370, June.
    17. Mascolo, Maria Di, 1996. "Analysis of a synchronization station for the performance evaluation of a kanban system with a general arrival process of demands," European Journal of Operational Research, Elsevier, vol. 89(1), pages 147-163, February.
    18. Huang, Min & Wang, Dingwei & Ip, W. H., 1998. "Simulation study of CONWIP for a cold rolling plant," International Journal of Production Economics, Elsevier, vol. 54(3), pages 257-266, May.
    19. Andijani, A. A., 1998. "A multi-criterion approach for Kanban allocations," Omega, Elsevier, vol. 26(4), pages 483-493, August.
    20. Plaza, Malgorzata & David, Iulian & Shirazi, Farid, 2018. "Management of inventory under market fluctuations the case of a Canadian high tech company," International Journal of Production Economics, Elsevier, vol. 205(C), pages 215-227.

    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:wly:navres:v:48:y:2001:i:2:p:128-143. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6750 .

    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.