Agent-Based Modeling and Simulation on Multi-Stage Supply Chain Operation

Abstract:

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Supply chain simulation is a fundamental approach for supply chain prediction, management, evaluation, and improvement. In order to simulate member behavior, organizational strategy, and management strategy of the supply chain, an agent-based modeling and simulation approach on multi-stage supply chain operation was proposed in this paper. First, the model structure of multi-stage supply chain operation was introduced. Then, the individual agent behavior model was emphatically studied, and hierarchical colored Petri-nets were used to describe the agent behavior process and cooperative behavior process. Finally, the model was validated using a series of simulation which focused on the agent inventory strategy.

Info:

Periodical:

Advanced Materials Research (Volumes 291-294)

Edited by:

Yungang Li, Pengcheng Wang, Liqun Ai, Xiaoming Sang and Jinglong Bu

Pages:

3216-3220

DOI:

10.4028/www.scientific.net/AMR.291-294.3216

Citation:

C. C. Zhao et al., "Agent-Based Modeling and Simulation on Multi-Stage Supply Chain Operation", Advanced Materials Research, Vols. 291-294, pp. 3216-3220, 2011

Online since:

July 2011

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Price:

$35.00

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