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

Author

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  • 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
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    References listed on IDEAS

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    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.

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