Agility appraisal for integrated supply chain using generalized trapezoidal fuzzy numbers set

The objective of this reporting is to contribute important insights to the extant body of knowledge in agile supply chain (ASC). An approach based on generalized trapezoidal fuzzy set has been adopted for agility appraisal in supply chain. An ASC is frequently considered as a dominant competitive advantage. Complexity and vagueness involved in agility evaluation process must be considered precisely for agility estimation for an ASC system. Fuzzy set theory has been efficiently explored in order to assess the contributions of complicated agility capabilities in an ambiguous fuzzy environment. Application of the said approach as a decision support system evidently helps the management practitioners to conduct gap analysis between existent agility level and the desired one and also provides reliable information for decision making. The proposed procedure has efficiently been applied to a large-scale automobile manufacturing company in India, as a case study.