文章基本信息

标题：Study on Measurement of Supply Chain Synergy based on relational capital and interactive learning
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作者：Shan, Lu
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2011
卷号：6
期号：10
页码：2104-2111
DOI：10.4304/jcp.6.10.2104-2111
语种：English
出版社：Academy Publisher
摘要：A Supply Chain Synergy Measurement Model is put forward on the foundation of relational capital and interactive learning after going through present literatures related to Synergy Measurement. The order degree of sub-systems is calculated, synergetic degree of the whole system obtained thereby. The index system for operability is established based on the aforesaid model, considering the characteristics of supply chain synergy, key factors influencing synergy (order parameters) and possibility of data acquiring. The group decision-making method involved multi-expert is introduced overcoming the defect of subjective single assessment in the index weight, combining both the method for consistent judgment matrix weight and experts' weights in group decision making. The effectiveness and practicality of index system and model is checked through empirical study of synergy measurement of supply chain in which Sany Heavy Industry Co., Ltd serves as the core enterprise.
关键词：Supply Chain; Synergetic Degree; System Order Degree; Cluster Analysis; Group Decision-making Method