Prices Contract Model and Information Sharing Platform of Closed-loop Supply 
 Chain Based on Recyclers’ Competition

He, Chao; Zhuang, Yuliang; Feng, Chen

doi:10.3923/itj.2013.7719.7723

Cited by 2 publications

(2 citation statements)

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“…Although the multi-agent model-based evolutionary model is widely used in studies related to the selection of cooperative subjects and factors influencing cooperative networks [27][28][29][30], the research in studying the relationship among customer centricity and value hub-network node deserves further study in a port service value network. Previous research mainly focused on studying port service value networks without customer preferences [33,34]. They concluded that the members of the port value network would continue to enhance their service level, credit level, and comprehensive strength in order to strengthen their competitiveness and cooperation and reasonably reduce service prices.…”

Section: Conclusion and Countermeasure Analysismentioning

confidence: 99%

“…Jin et al (2014) simulate consumer behavior under website promotion based on the agent model and analyze and predict consumer behavior's emergence [32]. He et al (2015) construct a multi-recycler closed-loop supply chain model based on the multi-agent model and conduct contract selection research [33]. Nishino et al (2017) use multi-agent simulation modeling to study the impact of capability differences and strategy imitation on the evolution of cooperative networks [34].…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Agent Model-Based Evolutionary Model of Port Service Value Network and Decision Preferences

2022

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The rise of value networks in the new economic era and the emergence of a common competitive advantage pose enormous challenges to the value-added approach of enterprises based on traditional value chains. Based on the customer-centered concept, the complementary effect of agents, and other competition characteristics of the value network, this paper constructs a multi-agent-based value network evolution model. The influencing mechanism of customer preference on the number of value network entities and overall income is discussed through simulation analysis. The research shows that the influence of customer preference on the evolution and steady-state of the overall value of the value network is not significant. Customer preference plays a decisive role in the number of service subjects and the evolution of attributes. In different situations, the influence of customer preference on the number of subjects is significantly different. This means that customer power preference in the value network of port services is much higher than other preferences. The research results provide a decision-making basis for enterprises to break through the shackles of traditional value-added concepts, actively seek value network optimization schemes, and achieve timely responses to customer preferences.

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