Agility appraisement framework for integrated supply chain using generalised interval-valued fuzzy set
by Swagatika Mishra; Chitrasen Samantra; Saurav Datta; Siba Sankar Mahapatra
International Journal of Business Information Systems (IJBIS), Vol. 16, No. 1, 2014

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.

Online publication date: Sat, 07-Jun-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Information Systems (IJBIS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com