IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/1998-3-1.html
   My bibliography  Save this article

Simulation of Order Fulfillment in Divergent Assembly Supply Chains

Author

Listed:

Abstract

Management of supply chains is a difficult task involving coordination and decision-making across organizational boundaries. Computational modeling using multi-agent simulation is a tool that can provide decision support for supply chain managers. We identify the components of a supply chain model and implement it in the Swarm multi-agent simulation platform. The model is used to study the impact of information sharing on order fulfillment in divergent assembly supply chains (commonly associated with the computer and electronics industries). We find that efficient information sharing enables inventory costs to be reduced while maintaining acceptable order fulfillment cycle times. This is true because information, which provides the basis for enhanced coordination and reduced uncertainty, can substitute for inventory.

Suggested Citation

  • Troy J Strader & Fu-ren Lin & Michael J Shaw, 1998. "Simulation of Order Fulfillment in Divergent Assembly Supply Chains," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(2), pages 1-5.
    • Handle: RePEc:jas:jasssj:1998-3-1
    as

    Download full text from publisher

    File URL: https://www.jasss.org/1/2/5/5.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hau L. Lee & Corey Billington & Brent Carter, 1993. "Hewlett-Packard Gains Control of Inventory and Service through Design for Localization," Interfaces, INFORMS, vol. 23(4), pages 1-11, August.
    2. Hau L. Lee & Corey Billington, 1993. "Material Management in Decentralized Supply Chains," Operations Research, INFORMS, vol. 41(5), pages 835-847, 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. Luca Iandoli & Elio Marchione & Cristina Ponsiglione & Giuseppe Zollo, 2014. "Knowledge sharing and network emergence in small firm clusters: an agent-based model of industrial districts," Chapters, in: Charlie Karlsson & Börje Johansson & Roger R. Stough (ed.), Agglomeration, Clusters and Entrepreneurship, chapter 4, pages 66-84, Edward Elgar Publishing.
    2. Uwe Cantner & Ivan Savin & Simone Vannuccini, 2019. "Replicator dynamics in value chains: explaining some puzzles of market selection," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 589-611.
    3. Francesca Borrelli & Cristina Ponsiglione & Luca Iandoli & Giuseppe Zollo, 2005. "Inter-Organizational Learning and Collective Memory in Small Firms Clusters: an Agent-Based Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(3), pages 1-4.
    4. Whan-Seon Kim, 2009. "Effects of a Trust Mechanism on Complex Adaptive Supply Networks: An Agent-Based Social Simulation Study," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(3), pages 1-4.
    5. Gek Woo Tan & Michael J. Shaw & Bill Fulkerson, 2000. "Web-based Supply Chain Management," Information Systems Frontiers, Springer, vol. 2(1), pages 41-55, January.
    6. Narjès Bellamine-Ben Saoud & Gloria Mark, 2007. "Complexity theory and collaboration: An agent-based simulator for a space mission design team," Computational and Mathematical Organization Theory, Springer, vol. 13(2), pages 113-146, June.
    7. Ojha, Divesh & Sahin, Funda & Shockley, Jeff & Sridharan, Sri V., 2019. "Is there a performance tradeoff in managing order fulfillment and the bullwhip effect in supply chains? The role of information sharing and information type," International Journal of Production Economics, Elsevier, vol. 208(C), pages 529-543.
    8. Fu-ren Lin & Shyh-ming Lin, 2006. "Enhancing the Supply Chain Performance by Integrating Simulated and Physical Agents into Organizational Information Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-1.
    9. Wei, Zelong & Song, Xi & Wang, Donghan, 2017. "Manufacturing flexibility, business model design, and firm performance," International Journal of Production Economics, Elsevier, vol. 193(C), pages 87-97.
    10. Roberto Dominguez & Salvatore Cannella, 2020. "Insights on Multi-Agent Systems Applications for Supply Chain Management," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    11. Luca Iandoli & Elio Marchione & Cristina Ponsiglione & Giuseppe Zollo, 2009. "Learning and Structural Properties in Small Firms’ Networks: A Computational Agent-Based Model," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 1(1).
    12. Emerson, Denise & Zhou, Wei & Piramuthu, Selwyn, 2009. "Goodwill, inventory penalty, and adaptive supply chain management," European Journal of Operational Research, Elsevier, vol. 199(1), pages 130-138, November.

    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. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    2. Ngniatedema, Thomas & Shanker, Murali & Hu, Michael Y. & Guiffrida, Alfred L. & Eddy Patuwo, B., 2015. "Late customization strategy with service levels requirements," International Journal of Production Economics, Elsevier, vol. 166(C), pages 72-84.
    3. Tibben-Lembke, Ronald S. & Bassok, Yehuda, 2005. "An inventory model for delayed customization: A hybrid approach," European Journal of Operational Research, Elsevier, vol. 165(3), pages 748-764, September.
    4. James R. Bradley & Bruce C. Arntzen, 1999. "The Simultaneous Planning of Production, Capacity, and Inventory in Seasonal Demand Environments," Operations Research, INFORMS, vol. 47(6), pages 795-806, December.
    5. Peretzke, Julia & Sandhaus, Gregor, 2017. "Einsatzpotentiale von Cognitive Computing zur Unterstützung der Entscheidungsfindung im Supply Chain Management," ild Schriftenreihe 53, FOM Hochschule für Oekonomie & Management, Institut für Logistik- & Dienstleistungsmanagement (ild).
    6. Henri Barki & Alain Pinsonneault, 2005. "A Model of Organizational Integration, Implementation Effort, and Performance," Organization Science, INFORMS, vol. 16(2), pages 165-179, April.
    7. repec:tkp:ijsrsy:v:2:y:2012:i:2:p:73-91 is not listed on IDEAS
    8. Sharda, Bikram & Akiya, Naoko, 2012. "Selecting make-to-stock and postponement policies for different products in a chemical plant: A case study using discrete event simulation," International Journal of Production Economics, Elsevier, vol. 136(1), pages 161-171.
    9. Chan K. Hahn & Edward A. Duplaga & Janet L. Hartley, 2000. "Supply-Chain Synchronization: Lessons from Hyundai Motor Company," Interfaces, INFORMS, vol. 30(4), pages 32-45, August.
    10. Kevin H. Shang & Jing-Sheng Song, 2006. "A Closed-Form Approximation for Serial Inventory Systems and Its Application to System Design," Manufacturing & Service Operations Management, INFORMS, vol. 8(4), pages 394-406, September.
    11. Feng Yang & Dexiang Wu & Liang Liang & Gongbing Bi & Desheng Wu, 2011. "Supply chain DEA: production possibility set and performance evaluation model," Annals of Operations Research, Springer, vol. 185(1), pages 195-211, May.
    12. Hiroko Nakamura & Shinji Suzuki & Tomobe Hironori & Yuya Kajikawa & Ichiro Sakata, 2011. "Citation lag analysis in supply chain research," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 221-232, May.
    13. Alptekinoglu, Aydin & Tang, Christopher S., 2005. "A model for analyzing multi-channel distribution systems," European Journal of Operational Research, Elsevier, vol. 163(3), pages 802-824, June.
    14. Perona, Marco & Cigolini, Roberto & Adani, Mattia & Biondi, Roberto & Guzzetti, Stefano & Jenna, Ruggero & Chessa, Mario & Agellara, Stefano, 2001. "The integrated management of logistic chains in the white goods industry. A field research in Italy," International Journal of Production Economics, Elsevier, vol. 69(2), pages 227-238, January.
    15. Peidro, David & Mula, Josefa & Jiménez, Mariano & del Mar Botella, Ma, 2010. "A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment," European Journal of Operational Research, Elsevier, vol. 205(1), pages 65-80, August.
    16. Alex Bangash & Ramesh Bollapragada & Rachelle Klein & Narayan Raman & Herbert B. Shulman & Donald R. Smith, 2004. "Inventory Requirements Planning at Lucent Technologies," Interfaces, INFORMS, vol. 34(5), pages 342-352, October.
    17. Son, Joong Y. & Sheu, Chwen, 2008. "The impact of replenishment policy deviations in a decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 785-804, June.
    18. Gunasekaran, Angappa & Ngai, Eric W.T., 2009. "Modeling and analysis of build-to-order supply chains," European Journal of Operational Research, Elsevier, vol. 195(2), pages 319-334, June.
    19. Yossi Aviv & Awi Federgruen, 2001. "Design for Postponement: A Comprehensive Characterization of Its Benefits Under Unknown Demand Distributions," Operations Research, INFORMS, vol. 49(4), pages 578-598, August.
    20. Marzieh ShahmariChatghieh & Harri Haapasalo & Anyanitha Distanont, 2013. "A Comparison of R&D Supply Chains and Service and Manufacturing Supply Chains," International Journal of Synergy and Research, ToKnowPress, vol. 2(2), pages 73-91.
    21. Krishnan S. Anand & Karan Girotra, 2007. "The Strategic Perils of Delayed Differentiation," Management Science, INFORMS, vol. 53(5), pages 697-712, May.

    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:jas:jasssj:1998-3-1. 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: Francesco Renzini (email available below). General contact details of provider: .

    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.