Benchmarking model to analyse ISCM performance of selected Indian manufacturing industries using fuzzy AHP technique Online publication date: Wed, 04-Sep-2019
by Kailash; Rajeev Kumar Saha; Sanjeev Goyal
International Journal of Industrial and Systems Engineering (IJISE), Vol. 33, No. 1, 2019
Abstract: Competing globally with world class industries, Indian manufacturing industries need to brace itself with benchmarking models and continuous self-improvement. Internal supply chain management (ISCM) performance may be focused in particular to create a niche over others. Proper understanding of key performance indicators of ISCM is necessary to analyse the gaps. A suitable methodology is also required to interpret the loopholes in order to remove them. A combined approach of fuzzy logic and analytic hierarchy process (AHP) technique is used for better result of theoretical benchmarking model. Comparison control bar charts are also used to view the performance gap between internal supply chains of selected manufacturing competitors. The primary purpose of this paper is to identify worst performance measures by implementation of benchmarking model, fuzzy logic and AHP methodology.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook