Journal of System Simulation ›› 2017, Vol. 29 ›› Issue (7): 1611-1617.doi: 10.16182/j.issn1004731x.joss.201707028

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Simulation on Global Demand Information Sharing Value in B2B Supply Chain

Hu Dongbo, Shen Yue, Heng Rudan, Zhang Binbin   

  1. Management School Jinan University, Guangzhou 510632, China
  • Received:2016-04-05 Published:2020-06-01

Abstract: In B2B e-commerce environment, a multi-agent simulation model based on the supply chain with multi suppliers was established to study the incentive effects of the global demand information sharing on suppliers and the effects of different parameters on these incentive effects. The research results are as follows: Compared with the local demand information sharing, the global demand information sharing can bring significant incentive effect to the supplier. The global demand information sharing is more valuable with the number of selected suppliers getting closer to the number of alternative suppliers, and an optimal number of alternative suppliers do exist. Based on the global demand information sharing, if the supplier evaluation rules are further shared, the incentive effect can be further strengthened when the actual evaluation rules are inconsistent with the suppliers' expectation.

Key words: B2B, demand information sharing, incentive on supplier, multi-agent simulation

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