Title: Modelling and analysis of an agile supply chain

Authors: P.G. Saleeshya; B. Sachin

Addresses: Department of Mechanical Engineering, Amrita University, Coimbatore, 641112, India ' Tata Institute of Social Sciences (TISS), V.N. Purav Marg, Opp. Deonar Bus Depot, Mumbai 400088, India

Abstract: This paper is an outcome of a study carried out in five manufacturing industries. Based on the literature review, field study and industry study a multi-level model which constitute the enablers of agile supply chain, the factors which are identified as the sources of driving force of these enablers has been developed. This model also identifies the business performance indicators (BPIs) of a manufacturing system. The objective of this paper is to identify the most important enablers of agile supply chain and the driving forces behind these enablers in an organisational system. By identifying these factors and forces, an organisation can channel its resources in the most effective way in order to enhance the achievement potential of its different BPIs. Multiple regression and Gauss elimination method are identified as suitable tools for analysis in this study.

Keywords: supply chain agility; agile supply chains; supply chain management; SCM; enablers; business performance indicators; BPIs; regression; manufacturing industry.

DOI: 10.1504/IJPQM.2015.069639

International Journal of Productivity and Quality Management, 2015 Vol.15 No.4, pp.486 - 510

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 15 Apr 2015 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article