Title: Modelling and analysis of barriers for supply chain performance measurement system

Authors: Mohit Tyagi; Pradeep Kumar; Dinesh Kumar

Addresses: Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, Uttrakhand (UK) 247667, India ' Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, Uttrakhand (UK) 247667, India ' Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, Uttrakhand (UK) 247667, India

Abstract: During this competitive environment, the behaviour of market is changing abruptly and generating interference for industries, to sustain their stability in the market place. Therefore, most of all industries are in race to improve their supply chain performance (SCP) system. The objective of this research is to develop relationship among the considered barriers of SCP system. To achieve the objective, fifteen barriers have been considered and analysed using kappa statistics and interpretive structural modelling (ISM) approach, to understand the mutual relationship among them. The analysis reveals that barriers namely: insufficient focus on customers and competitors, lack of visibility of true customer demand, lack of collaborative relationships, lack of relevant performance measures and less accurate information are the desired output, those should be strongly emphasised in order to achieve a better SCP. The findings of this research may enable managers to make accurate strategies-based decisions through driving and dependence power of considered barriers, for an effective implementation of SCP system.

Keywords: supply chain management; SCM; performance measurement systems; PMS; barriers; kappa statistics; interpretive structural modelling; ISM; supply chain performance.

DOI: 10.1504/IJOR.2017.081912

International Journal of Operational Research, 2017 Vol.28 No.3, pp.392 - 414

Received: 04 Jul 2014
Accepted: 02 Aug 2014
Published online: 31 Jan 2017 *

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