IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i2p1516-1541d45325.html
   My bibliography  Save this article

Computational Experiment Approach to Controlled Evolution of Procurement Pattern in Cluster Supply Chain

Author

Listed:
  • Xiao Xue

    (School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China)

  • Shufang Wang

    (School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China)

  • Baoyun Lu

    (School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China)

Abstract

Companies have been aware of the benefits of developing Cluster Supply Chains (CSCs), and they are spending a great deal of time and money attempting to develop the new business pattern. Yet, the traditional techniques for identifying CSCs have strong theoretical antecedents, but seem to have little traction in the field. We believe this is because the standard techniques fail to capture evolution over time, nor provide useful intervention measures to reach goals. To address these problems, we introduce an agent-based modeling approach to evaluate CSCs. Taking collaborative procurement as research object, our approach is composed of three parts: model construction, model instantiation, and computational experiment. We use the approach to explore the service charging policy problem in collaborative procurement. Three kinds of service charging polices are compared in the same experiment environment. Finally, “Fixed Cost” is identified as the optimal policy under the stable market environment. The case study can help us to understand the workflow of applying the approach, and provide valuable decision support applications to industry.

Suggested Citation

  • Xiao Xue & Shufang Wang & Baoyun Lu, 2015. "Computational Experiment Approach to Controlled Evolution of Procurement Pattern in Cluster Supply Chain," Sustainability, MDPI, vol. 7(2), pages 1-26, January.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:2:p:1516-1541:d:45325
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/2/1516/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/7/2/1516/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chung-Yuan Huang & Chuen-Tsai Sun & Ji-Lung Hsieh & Holin Lin, 2004. "Simulating SARS: Small-World Epidemiological Modeling and Public Health Policy Assessments," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(4), pages 1-2.
    2. Brian R. Hirshman & Jesse Charles & Kathleen M. Carley, 2011. "Leaving us in tiers: can homophily be used to generate tiering effects?," Computational and Mathematical Organization Theory, Springer, vol. 17(4), pages 318-343, November.
    3. Yuqing Ren & Kathleen M. Carley & Linda Argote, 2006. "The Contingent Effects of Transactive Memory: When Is It More Beneficial to Know What Others Know?," Management Science, INFORMS, vol. 52(5), pages 671-682, May.
    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. Chia-Nan Wang & Ming-Hsun Lin & Chung-Jen Huang & Ching-Chiu Huang & Ruei-Yuan Liao, 2017. "Using TRIZ to Improve the Procurement Process of Spare Parts in the Taiwan Navy," Sustainability, MDPI, vol. 9(10), pages 1-12, October.
    2. Chengxiao Feng & Zongjun Wang & Zhenyu Jiang, 2017. "Retailer’s Procurement Strategy under Endogenous Supply Stability," Sustainability, MDPI, vol. 9(12), pages 1-18, December.

    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. Teruhiko Yoneyama & Sanmay Das & Mukkai Krishnamoorthy, 2012. "A Hybrid Model for Disease Spread and an Application to the SARS Pandemic," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-5.
    2. Chung-Yuan Huang & Chuen-Tsai Sun & Hsun-Cheng Lin, 2005. "Influence of Local Information on Social Simulations in Small-World Network Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-8.
    3. Lei Xu & Ronggui Ding & Lei Wang, 2022. "How to facilitate knowledge diffusion in collaborative innovation projects by adjusting network density and project roles," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1353-1379, March.
    4. Ciaran Heavey & Zeki Simsek, 2015. "Transactive Memory Systems and Firm Performance: An Upper Echelons Perspective," Organization Science, INFORMS, vol. 26(4), pages 941-959, August.
    5. Phillip Stroud & Sara Del Valle & Stephen Sydoriak & Jane Riese & Susan Mniszewski, 2007. "Spatial Dynamics of Pandemic Influenza in a Massive Artificial Society," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-9.
    6. Paul M. Leonardi, 2014. "Social Media, Knowledge Sharing, and Innovation: Toward a Theory of Communication Visibility," Information Systems Research, INFORMS, vol. 25(4), pages 796-816, December.
    7. Yuan Sun & Zhebin Ding & Zuopeng (Justin) Zhang & Jeffrey Gauthier, 2020. "The Sustainable Positive Effects of Enterprise Social Media on Employees: The Visibility and Vicarious Learning Lens," Sustainability, MDPI, vol. 12(7), pages 1-32, April.
    8. Gema García-Piqueres & Ana-M. Serrano-Bedia & Marta Pérez-Pérez, 2019. "Knowledge Management Practices and Innovation Outcomes: The Moderating Role of Risk-Taking and Proactiveness," Administrative Sciences, MDPI, vol. 9(4), pages 1-22, September.
    9. Jennifer Kunz, 2011. "Group-Level Exploration and Exploitation: A Computer Simulation-Based Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-18.
    10. Peter T. Bryant, 2014. "Imprinting by Design: The Microfoundations of Entrepreneurial Adaptation," Entrepreneurship Theory and Practice, , vol. 38(5), pages 1081-1102, September.
    11. Giovanni Gavetti & Massimo Warglien, 2015. "A Model of Collective Interpretation," Organization Science, INFORMS, vol. 26(5), pages 1263-1283, October.
    12. Paul M. Leonardi, 2018. "Social Media and the Development of Shared Cognition: The Roles of Network Expansion, Content Integration, and Triggered Recalling," Organization Science, INFORMS, vol. 29(4), pages 547-568, August.
    13. Bachrach, Daniel G. & Mullins, Ryan, 2019. "A dual-process contingency model of leadership, transactive memory systems and team performance," Journal of Business Research, Elsevier, vol. 96(C), pages 297-308.
    14. Dario Esposito & Giovanni Dipierro & Alberico Sonnessa & Stefania Santoro & Simona Pascazio & Irene Pluchinotta, 2021. "Data-Driven Epidemic Intelligence Strategies Based on Digital Proximity Tracing Technologies in the Fight against COVID-19 in Cities," Sustainability, MDPI, vol. 13(2), pages 1-25, January.
    15. Yong Yang & Peter M Atkinson, 2008. "Individual Space – Time Activity-Based Model: A Model for the Simulation of Airborne Infectious-Disease Transmission by Activity-Bundle Simulation," Environment and Planning B, , vol. 35(1), pages 80-99, February.
    16. Gino, Francesca & Argote, Linda & Miron-Spektor, Ella & Todorova, Gergana, 2010. "First, get your feet wet: The effects of learning from direct and indirect experience on team creativity," Organizational Behavior and Human Decision Processes, Elsevier, vol. 111(2), pages 102-115, March.
    17. von Hippel, Eric & Franke, Nikolaus & Prügl, Reinhard, 2009. "Pyramiding: Efficient search for rare subjects," Research Policy, Elsevier, vol. 38(9), pages 1397-1406, November.
    18. Qiuzhen Ren & Yingjie Xu & Ranran Zhou & Jingdong Liu, 2020. "Can CEO’s Humble Leadership Behavior Really Improve Enterprise Performance and Sustainability? A Case Study of Chinese Start-Up Companies," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
    19. Liang Chen & Guy G. Gable & Haibo Hu, 2013. "Communication and organizational social networks: a simulation model," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 460-479, December.
    20. Xiaoguang Gong & Renbin Xiao, 2007. "Research on Multi-Agent Simulation of Epidemic News Spread Characteristics," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(3), pages 1-1.

    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:gam:jsusta:v:7:y:2015:i:2:p:1516-1541:d:45325. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.