科研之友
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摘要
In this paper we have developed an approach based on Adaptive Neuro Fuzzy Inference System (ANFIS) for measurement of agility in a Supply Chain. An Agile Supply Chain (ASC) is frequently considered as a dominant competitive advantage. As complexity and vagueness of agility in global markets must be considered to be one of the essential characteristics of an ASC system, we efficiently applied ANFIS in order to inject different and complicated agility capabilities (i.e. flexibility, competency, cost, responsiveness, and quickness) and agility enablers (i.e. collaborative relations, process integration, information integration, and consumer sensitivity) to the model in an ambiguous environment. Moreover, different potential attributes of ANFIS (i.e. considering membership functions for each agility capability and enablers, training these functions through an adaptive procedure, using fuzzy concepts in order to model objective attributes) made the proposed approach useful for surveying real-life problems. To our best knowledge, such application has been never reported for ASC, and ANFIS in the literature. It is worth noting that application of the proposed procedure as a Decision Support System (DSS) helps managers to perform gap analyses between an existent agility level and the desired one by using an agility matrix, and it also provides reliable information for decision making. The proposed procedure has efficiently been applied to a large- scale automobile manufacturing company in Iran. Statistical analysis represents that there are no meaningful difference between experts' opinions and our proposed procedure for supply chain agility measurement.
- 出版日期2010-12
