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Sustainability 2015, 7(2), 1516-1541; doi:10.3390/su7021516

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

School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China
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Academic Editor: Giuseppe Ioppolo
Received: 23 October 2014 / Accepted: 26 January 2015 / Published: 30 January 2015
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
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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. View Full-Text
Keywords: Cluster Supply Chains (CSCs); procurement pattern; controlled evolution; agent-based modeling; computational experiment Cluster Supply Chains (CSCs); procurement pattern; controlled evolution; agent-based modeling; computational experiment
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Xue, X.; Wang, S.; Lu, B. Computational Experiment Approach to Controlled Evolution of Procurement Pattern in Cluster Supply Chain. Sustainability 2015, 7, 1516-1541.

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