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Developing Indian grain supply chain cost model: a system dynamics approach

Author

Listed:
  • Amit Sachan
  • B.S. Sahay
  • Dinesh Sharma

Abstract

Purpose - The objective of the present study is to model the total supply chain cost (TSCC) of an Indian grain chain in order to understand and predict the future outcome of each supply chain model in different situations and to devise policies accordingly to reduce TSCC. Design/methodology/approach - The system dynamics (SD) approach is used to model the TSCC model of an Indian grain chain, which takes care of the dynamic interaction of the cost variables. Findings - The major findings of the paper are the reduced cost ratios in the different scenarios. A total of nine scenarios are evaluated, which are the cooperative model, contract farming and a collaborative supply chain based on optimistic, pessimistic and most likely views. Practical implications - The practical implications are the action plans suggested to reduce TSCC in each of the future scenarios of the supply chain model that are developed in the paper. Originality/value - The TSCC model is beneficial not only for organizations entering into the food business, but also for economic policy makers.

Suggested Citation

  • Amit Sachan & B.S. Sahay & Dinesh Sharma, 2005. "Developing Indian grain supply chain cost model: a system dynamics approach," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 54(3), pages 187-205, April.
    • Handle: RePEc:eme:ijppmp:17410400510584901
    DOI: 10.1108/17410400510584901
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    Citations

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    Cited by:

    1. M., Balaji & K., Arshinder, 2016. "Modeling the causes of food wastage in Indian perishable food supply chain," Resources, Conservation & Recycling, Elsevier, vol. 114(C), pages 153-167.
    2. Mogale, D.G. & Kumar, Mukesh & Kumar, Sri Krishna & Tiwari, Manoj Kumar, 2018. "Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 40-69.
    3. D. G. Mogale & Sri Krishna Kumar & Manoj Kumar Tiwari, 2020. "Green food supply chain design considering risk and post-harvest losses: a case study," Annals of Operations Research, Springer, vol. 295(1), pages 257-284, December.
    4. Pettersson, Annelie I. & Segerstedt, Anders, 2013. "Measuring supply chain cost," International Journal of Production Economics, Elsevier, vol. 143(2), pages 357-363.
    5. Saurabh Ardra & Mukesh Kumar Barua, 2023. "Inclusion of circular economy practices in the food supply chain: Challenges and possibilities for reducing food wastage in emerging economies like India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(12), pages 13825-13858, December.

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