期刊文献+

供应链协同知识创新的模糊多属性群决策模型(英文)

Fuzzy multiple attribute decision-making model for synergic knowledge innovation in supply chain
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摘要 供应链的发展过程是持续聚集知识和转换知识的过程.首先,阐述了供应链协同知识创新的前提条件;然后分析了供应链协同知识创新的特征,包括:过程复杂性、积累和进化过程、成员协同和网络集成.由于供应链系统的多因素性和不确定性等特点,引入模糊多属性群决策模型(MADM)解决与供应链协同知识创新相关的问题.在详述模糊多属性群决策模型的应用步骤之后,将MADM模型应用于供应链协同知识创新的决策过程,并通过具体算例说明了应用的方法.融合直觉决策与解析决策的供应链协同知识创新的模糊多属性决策模型,可有效地提高供应链协同知识创新决策的科学性和合理性. The procedure of supply chain development is the process of continuously congregating knowledge and transforming knowledge.First,the precondition of synergic knowledge innovation in the supply chain is narrated.Then the characteristics of synergic knowledge innovation in the supply chain are analyzed,including complexity,accumulating and evolving process,and the cooperation of members and network integration.Due to the characteristics of multi-factors and uncertainties of the supply chain system,the fuzzy multi-attribution group decision-making model is introduced to solve the involved problem of synergic knowledge innovation in the supply chain.After elaborating on steps of using the fuzzy multiple attribute decision-making(MADM)model,the procedure of decision making for synergic knowledge innovation in the supply chain is explained from an example in the application of a fuzzy MADM model.The fuzzy MADM model,which amalgamates intuition and resolution decision-making can effectively improve the rationality of decision-making for synergic knowledge innovation in the supply chain.
作者 吴冰 赵林度
出处 《Journal of Southeast University(English Edition)》 EI CAS 2007年第S1期46-50,共5页 东南大学学报(英文版)
基金 The National Key Technology R&D Program of China during the 11th Five-Year Plan Period(No.2006BAH02A06)
关键词 协同知识创新 供应链 模糊多属性决策 synergic knowledge innovation supply chain fuzzy multiple attribute decision-making
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