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Study on Measurement of Supply Chain Synergy based on relational capital and interactive learning
| Content Provider | Open Access Library (OALib) |
|---|---|
| Author | Lu Shan |
| Abstract | 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. |
| ISSN | 1796203X |
| Journal | Journal of Computers |
| DOI | 10.4304/jcp.6.10.2104-2111 |
| Publisher | Academy Publisher |
| Publisher Date | 2011-01-01 |
| Access Restriction | Open |
| Subject Keyword | Cluster Analysis Group Decision-making Method Supply Chain System Order Degree Synergetic Degree |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
