Title: Agility appraisement framework for integrated supply chain using generalised interval-valued fuzzy set

Authors: Swagatika Mishra; Chitrasen Samantra; Saurav Datta; Siba Sankar Mahapatra

Addresses: Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Orissa, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Orissa, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Orissa, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Orissa, India

Abstract: In today's competitive industries, several issues arise on organisational agile supply chain (ASC) such as organisational resistance to change, inter-functional conflicts, joint production planning, team oriented performance measures, shifts in channel power, information sharing, real time communication, and technical compatibility. Such issues are relevant to both manufacturing as well as service sectors. The objective of this reporting is to contribute important insights to the extant body of knowledge in ASC. Complexity, ambiguity and vagueness involved in agility evaluation process must be overcome for agility estimation related an ASC system. Interval-valued fuzzy numbers (IVFNs) set theory has been efficiently explored in order to assess the extent of contributions imposed by complicated agility capabilities in an ambiguous fuzzy environment. Application of the said approach as a decision support system (DSS) 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.

Keywords: supply chain agility; interval-valued fuzzy sets; IVFS; decision support systems; DSS; supply chain integration; supply chain management; SCM; agile supply chains; gap analysis; automobile industry; automotive manufacturing; India; case study.

DOI: 10.1504/IJBIS.2014.060838

International Journal of Business Information Systems, 2014 Vol.16 No.1, pp.89 - 118

Available online: 01 May 2014 *

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