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The effect of COVID-19 pandemic on uncertain supply chain model with risk and visibility via expected value and chance constraint techniques

  • Optimization
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Abstract

In this paper, we made an investigation about an uncertain interval supply chain network model with risk and visibility (UISCNMwRV). We consider the available budget for supply chain visibility, production capacity, cost of reducing supply risk, cost of enhancing supply chain visibility, demand for each product in each period, the expected value of demand, minimum order quantity, purchase price, the impact of supply risk, supply risk, maximum allowable supply risk, supply chain visibility, minimum visibility are uncertain interval parameters for the effect of resenting pandemic COVID-19. To model the proposed UISCNMwRV, we have developed two different models namely the expected value model (EV model) and the chance-constrained model (CC model) using uncertain interval programming techniques. These two models are formulated under the framework of uncertain interval theory. Then, the equivalent deterministic transformations of these models are formulated and are solved in two different methods namely goal programming method and linear weighted method. Finally, a real-life example of the UISCNMwRV is included to show the effectiveness and usefulness of our proposed study.

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Authors and Affiliations

  1. Department of Mathematics, National Institute of Technology, Durgapur, West Bengal, 713209, India

    Palash Sahoo & Goutam Panigrahi

  2. School of Applied Sciences & Humanities, Haldia Institute of Technology, Haldia, Purba Medinipore, West Bengal, 721657, India

    Dipak Kumar Jana

  3. Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore, West Bengal, 721102, India

    Sutapa Pramanik

  4. Department of Mathematics, Calcutta Institute of Technology, Uluberia, Howrah, West Bengal, 711316, India

    Palash Sahoo

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  1. Palash Sahoo
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  2. Dipak Kumar Jana
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  3. Sutapa Pramanik
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  4. Goutam Panigrahi
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Correspondence to Dipak Kumar Jana.

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Sahoo, P., Jana, D.K., Pramanik, S. et al. The effect of COVID-19 pandemic on uncertain supply chain model with risk and visibility via expected value and chance constraint techniques. Soft Comput 27, 18739–18764 (2023). https://doi.org/10.1007/s00500-023-09139-z

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