IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v54y2017i2d10.1007_s12597-016-0277-2.html
   My bibliography  Save this article

Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents

Author

Listed:
  • T. V. S. R. K. Prasad

    (Kallam Haranadha Reddy Institute of Technology)

  • Kolla Srinivas

    (R.V.R & J.C. College of Engineering)

  • C. Srinivas

    (R.V.R & J.C. College of Engineering)

Abstract

The difference between integrated supply chain and decentralized supply chain is that in integrated supply chain, all the channel partners i.e., suppliers, manufacturers, transport providers, warehouse owners Will cooperate with each other and share the information on costs, capacities etc., to other partners with a view to reduce the overall supply chain cost. In decentralized supply chains, the channel partners will not share information with other partners for fear of distrust, losing their grip in their own domain. In decentralized supply chain systems, each entity (manufacturers, transporters etc.) is modeled as autonomous agent. Each autonomous agent has an objective and a set of constraints. All agents working together will develop feasible plans which are acceptable to all entities. In this paper a “Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents” model has been proposed and validated.

Suggested Citation

  • T. V. S. R. K. Prasad & Kolla Srinivas & C. Srinivas, 2017. "Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents," OPSEARCH, Springer;Operational Research Society of India, vol. 54(2), pages 217-232, June.
    • Handle: RePEc:spr:opsear:v:54:y:2017:i:2:d:10.1007_s12597-016-0277-2
    DOI: 10.1007/s12597-016-0277-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-016-0277-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12597-016-0277-2?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. Akanle, O.M. & Zhang, D.Z., 2008. "Agent-based model for optimising supply-chain configurations," International Journal of Production Economics, Elsevier, vol. 115(2), pages 444-460, October.
    2. Renaud, Jacques & Boctor, Fayez F., 2002. "A sweep-based algorithm for the fleet size and mix vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 140(3), pages 618-628, August.
    3. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"," Management Science, INFORMS, vol. 50(12_supple), pages 1887-1893, December.
    4. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 50(12_supple), pages 1875-1886, December.
    5. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    6. Jayaraman, Vaidyanathan & Patterson, Raymond A. & Rolland, Erik, 2003. "The design of reverse distribution networks: Models and solution procedures," European Journal of Operational Research, Elsevier, vol. 150(1), pages 128-149, 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. Monalisha Pattnaik & Padmabati Gahan, 2021. "Preservation effort effects on retailers and manufacturers in integrated multi-deteriorating item discrete supply chain model," OPSEARCH, Springer;Operational Research Society of India, vol. 58(2), pages 276-329, June.

    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. Mizgier, Kamil J. & Wagner, Stephan M. & Holyst, Janusz A., 2012. "Modeling defaults of companies in multi-stage supply chain networks," International Journal of Production Economics, Elsevier, vol. 135(1), pages 14-23.
    2. Wang, Zhaodong & Wang, Xin & Ouyang, Yanfeng, 2015. "Bounded growth of the bullwhip effect under a class of nonlinear ordering policies," European Journal of Operational Research, Elsevier, vol. 247(1), pages 72-82.
    3. Zhang, Xiaolong & Burke, Gerard J., 2011. "Analysis of compound bullwhip effect causes," European Journal of Operational Research, Elsevier, vol. 210(3), pages 514-526, May.
    4. Seitz, Alexander & Grunow, Martin & Akkerman, Renzo, 2020. "Data driven supply allocation to individual customers considering forecast bias," International Journal of Production Economics, Elsevier, vol. 227(C).
    5. Darwish, M.A. & Odah, O.M., 2010. "Vendor managed inventory model for single-vendor multi-retailer supply chains," European Journal of Operational Research, Elsevier, vol. 204(3), pages 473-484, August.
    6. Chong, Alain Yee-Loong & Zhou, Li, 2014. "Demand chain management: Relationships between external antecedents, web-based integration and service innovation performance," International Journal of Production Economics, Elsevier, vol. 154(C), pages 48-58.
    7. Abhijit Baidya, 2019. "Stochastic supply chain, transportation models: implementations and benefits," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 432-476, June.
    8. Ding, Huiping & Guo, Baochun & Liu, Zhishuo, 2011. "Information sharing and profit allotment based on supply chain cooperation," International Journal of Production Economics, Elsevier, vol. 133(1), pages 70-79, September.
    9. Pedro Domingos Antoniolli, 2016. "Information Technology Framework for Pharmaceutical Supply Chain Demand Management: a Brazilian Case Study," Brazilian Business Review, Fucape Business School, vol. 13(2), pages 27-55, March.
    10. Patrick R. Burgess & Funlade T. Sunmola, 2022. "Exploring Attractive Quality Requirements for Short Food Supply Chain Digital Platforms," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(1), pages 1-24, January.
    11. Ying Rong & Lawrence V. Snyder & Zuo‐Jun Max Shen, 2017. "Bullwhip and reverse bullwhip effects under the rationing game," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(3), pages 203-216, April.
    12. Iman Kazemian & Samin Aref, 2016. "Multi-echelon Supply Chain Flexibility Enhancement Through Detecting Bottlenecks," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(4), pages 357-372, December.
    13. Alexander Seitz & Hans Ehm & Renzo Akkerman & Sarah Osman, 2016. "A robust supply chain planning framework for revenue management in the semiconductor industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(6), pages 523-533, December.
    14. Zormpas, Dimitrios, 2020. "Investments under vertical relations and agency conflicts: A real options approach," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 273-287.
    15. Nowak, Thomas & Hofer, Vera, 2014. "On stabilizing volatile product returns," European Journal of Operational Research, Elsevier, vol. 234(3), pages 701-708.
    16. repec:hrs:journl::y:2012:v:4:i:3:p:137-153 is not listed on IDEAS
    17. T. V. S. R. K. Prasad & Kolla Srinivas & C. Srinivas, 2020. "Investigations into control strategies of supply chain planning models: a case study," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 874-907, September.
    18. Woo, Donghyup & Suresh, Nallan C., 2022. "Voluntary agreements for sustainability, resource efficiency & firm performance under the supply chain cooperation policy in South Korea," International Journal of Production Economics, Elsevier, vol. 252(C).
    19. Sucky, Eric, 2009. "The bullwhip effect in supply chains--An overestimated problem?," International Journal of Production Economics, Elsevier, vol. 118(1), pages 311-322, March.
    20. Iossifov, Plamen, 2014. "Cross-border production chains and business cycle co-movement between Central and Eastern European countries and euro area member states," Working Paper Series 1628, European Central Bank.
    21. Oded Berman & Mohammad M. Fazel-Zarandi & Dmitry Krass, 2019. "Truthful Cheap Talk: Why Operational Flexibility May Lead to Truthful Communication," Management Science, INFORMS, vol. 65(4), pages 1624-1641, April.

    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:opsear:v:54:y:2017:i:2:d:10.1007_s12597-016-0277-2. 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.