Int. J. Business Information Systems, Vol. 16, No. 1, 2014 89 Copyright © 2014 Inderscience Enterprises Ltd. Agility appraisement framework for integrated supply chain using generalised interval-valued fuzzy set Swagatika Mishra, Chitrasen Samantra, Saurav Datta* and Siba Sankar Mahapatra Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, Orissa, India E-mail: swagatika.mechanical@gmail.com E-mail: chitramech4u@gmail.com E-mail: sdattaju@gmail.com E-mail: mahapatrass2003@gmail.com *Corresponding author 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 set; IVFS; decision support system; DSS. Reference to this paper should be made as follows: Mishra, S., Samantra, C., Datta, S. and Mahapatra, S.S. (2014) ‘Agility appraisement framework for integrated supply chain using generalised interval-valued fuzzy set’, Int. J. Business Information Systems, Vol. 16, No. 1, pp.89–118. Biographical notes: Swagatika Mishra is a PhD Research Scholar in the Department of Mechanical Engineering, National Institute of Technology, Rourkela, India. She has more than three years of experience in teaching and one year in industry. Her area of interest includes industrial management, quality engineering and agile manufacturing. Chitrasen Samantra is a Research Scholar (Production Specialization) in the Department of Mechanical Engineering, National Institute of Technology, Rourkela, India. He is currently pursuing his MTech in the area of MCDM in agile manufacturing.