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CAS-based social network analysis for collaborative management in the green supply chain network system

机译:基于CAS的社交网络分析在绿色供应链网络系统中的协作管理

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摘要

The objective of this paper is to unify collaborative management ideas and the Complex Adaptive System (CAS) theory into a Social Network Analysis (SNA) of Green Supply Chain Management (GSCM) for the sake of sustainable development. Based on GSCM, the idea of the Green Supply Chain Network System (GSCNS) was to put forward a holistic solution for the coevolution of enterprises, society and environment. Based on an analysis of the characteristics of CAS, the common mechanisms shared by GSCNS and CAS were discovered; therefore, relative researches revealed the intrinsic similarities. By the application of the CAS theory, entities in GSCNS were considered as agents in being adaptive to, and evolving with, their living environment. Furthermore, a collaborative management architecture for GSCNS was raised. Considering the attributes of GSCNS, the Swarm simulation platform was introduced for modelling and simulation, and the characteristics and advantages of Swarm simulation for GSCNS were analysed and discussed.
机译:本文的目的是将协作管理思想和复杂自适应系统(CAS)理论统一为绿色供应链管理(GSCM)的社会网络分析(SNA),以实现可持续发展。基于GSCM,绿色供应链网络系统(GSCNS)的构想是为企业,社会和环境的协同发展提出整体解决方案。在分析CAS特征的基础上,发现了GSSCS和CAS共有的共同机制。因此,相关研究揭示了内在的相似性。通过CAS理论的应用,GSCNS中的实体被认为是适应其生存环境并随着其生存环境发展的媒介。此外,提出了用于GSCNS的协作管理体系结构。考虑到GSCNS的属性,引入了Swarm仿真平台进行建模和仿真,分析和讨论了GSarm的Swarm仿真的特点和优势。

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