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Modelling and analysis of barriers for supply chain performance measurement system

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  • Mohit Tyagi
  • Pradeep Kumar
  • Dinesh Kumar

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.

Suggested Citation

  • Mohit Tyagi & Pradeep Kumar & Dinesh Kumar, 2017. "Modelling and analysis of barriers for supply chain performance measurement system," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 28(3), pages 392-414.
    • Handle: RePEc:ids:ijores:v:28:y:2017:i:3:p:392-414
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    Cited by:

    1. Anish Kumar & Sachin Kumar Mangla & Pradeep Kumar & Stavros Karamperidis, 2020. "Challenges in perishable food supply chains for sustainability management: A developing economy perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 1809-1831, July.
    2. Neeraj Kumar & Mohit Tyagi & Anish Sachdeva & Yigit Kazancoglu & Mangey Ram, 2022. "Impact analysis of COVID-19 outbreak on cold supply chains of perishable products using a SWARA based MULTIMOORA approach," Operations Management Research, Springer, vol. 15(3), pages 1290-1314, December.

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