IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v92y2004i2p181-196.html
   My bibliography  Save this article

Reactive JIT ordering system for changes in the mean and variance of demand

Author

Listed:
  • Takahashi, Katsuhiko
  • Morikawa, Katsumi
  • Nakamura, Nobuto

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:proeco:v:92:y:2004:i:2:p:181-196
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(03)00319-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Price, Wilson & Gravel, Marc & Nsakanda, Aaron Luntala, 1994. "A review of optimisation models of Kanban-based production systems," European Journal of Operational Research, Elsevier, vol. 75(1), pages 1-12, May.
    2. Ragnar Löfstedt, 2002. "Editorial," Journal of Risk Research, Taylor & Francis Journals, vol. 5(1), pages 1-2, January.
    3. Machuca, Jose A. D., 2002. "JIT facing the New Millennium," International Journal of Production Economics, Elsevier, vol. 80(2), pages 131-134, November.
    4. Zimmer, Kirstin, 2002. "Supply chain coordination with uncertain just-in-time delivery," International Journal of Production Economics, Elsevier, vol. 77(1), pages 1-15, May.
    5. 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.
    6. Mark L. Spearman, 1992. "Customer Service in Pull Production Systems," Operations Research, INFORMS, vol. 40(5), pages 948-958, October.
    7. Tardif, Valerie & Maaseidvaag, Lars, 2001. "An adaptive approach to controlling kanban systems," European Journal of Operational Research, Elsevier, vol. 132(2), pages 411-424, July.
    8. Sridhar R. Tayur, 1993. "Structural Properties and a Heuristic for Kanban-Controlled Serial Lines," Management Science, INFORMS, vol. 39(11), pages 1347-1368, November.
    9. Takahashi, Katsuhiko & Nakamura, Nobuto, 2002. "Decentralized reactive Kanban system," European Journal of Operational Research, Elsevier, vol. 139(2), pages 262-276, June.
    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. Om Prakash Mishra & Vikas Kumar & Dixit Garg, 2018. "Performance evaluation of JIT enabled SCM using ANP method," 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. 9(2), pages 547-558, April.
    2. Moattar Husseini, S.M. & O'Brien, C. & Hosseini, S.T., 2006. "A method to enhance volume flexibility in JIT production control," International Journal of Production Economics, Elsevier, vol. 104(2), pages 653-665, December.
    3. Ilgin, Mehmet Ali & Gupta, Surendra M., 2011. "Performance improvement potential of sensor embedded products in environmental supply chains," Resources, Conservation & Recycling, Elsevier, vol. 55(6), pages 580-592.

    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. Takahashi, Katsuhiko & Nakamura, Nobuto, 2002. "Decentralized reactive Kanban system," European Journal of Operational Research, Elsevier, vol. 139(2), pages 262-276, June.
    2. Lage Junior, Muris & Godinho Filho, Moacir, 2010. "Variations of the kanban system: Literature review and classification," International Journal of Production Economics, Elsevier, vol. 125(1), pages 13-21, May.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Ilgin, Mehmet Ali & Gupta, Surendra M., 2011. "Performance improvement potential of sensor embedded products in environmental supply chains," Resources, Conservation & Recycling, Elsevier, vol. 55(6), pages 580-592.
    10. 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.
    11. Cao, Dong & Chen, Mingyuan, 2005. "A mixed integer programming model for a two line CONWIP-based production and assembly system," International Journal of Production Economics, Elsevier, vol. 95(3), pages 317-326, March.
    12. Andijani, A. A., 1998. "A multi-criterion approach for Kanban allocations," Omega, Elsevier, vol. 26(4), pages 483-493, August.
    13. Asefeh Hasani Goodarzi & Seyed Hessameddin Zegordi, 2020. "Vehicle routing problem in a kanban controlled supply chain system considering cross-docking strategy," Operational Research, Springer, vol. 20(4), pages 2397-2425, December.
    14. Sher, Mikhail M. & Kim, Seung-Lae & Banerjee, Avijit & Paz, Michael T., 2018. "A supply chain coordination mechanism for common items subject to failure in the electronics, defense, and medical industries," International Journal of Production Economics, Elsevier, vol. 203(C), pages 164-173.
    15. Sajjad Aslani Khiavi & Hamid Khaloozadeh & Fahimeh Soltanian, 2021. "Suboptimal sliding manifold For nonlinear supply chain with time delay," Journal of Combinatorial Optimization, Springer, vol. 42(1), pages 151-173, July.
    16. Sule Birim & Cigdem Sofyalioglu, 2017. "Evaluating vendor managed inventory systems: how incentives can benefit supply chain partners," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(1), pages 163-179, January.
    17. Salomón Kalmanovitz & Enrique López, 2003. "La Agricultura En Colombia Entre 1950 Y 2000," Borradores de Economia 2937, Banco de la Republica.
    18. S. Göttlich & S. Kühn & J. A. Schwarz & R. Stolletz, 2016. "Approximations of time-dependent unreliable flow lines with finite buffers," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 83(3), pages 295-323, June.
    19. Arabatzis, Garyfallos & Petridis, Konstantinos & Galatsidas, Spyros & Ioannou, Konstantinos, 2013. "A demand scenario based fuelwood supply chain: A conceptual model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 687-697.
    20. Seki, Yoichi & Hoshino, Naoto, 1999. "Transient behavior of a single-stage kanban system based on the queueing model," International Journal of Production Economics, Elsevier, vol. 60(1), pages 369-374, April.

    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:eee:proeco:v:92:y:2004:i:2:p:181-196. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.