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Green supply chain inventory model for deteriorating items with variable demand under inflation

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  • Smita Rani
  • Rashid Ali
  • Anchal Agarwal

Abstract

Green supply chain increasingly gained interest in the last decade. What initially started as an effort to save environment has developed into a great business concept with increased profitability. Though various studies have been conducted in green supply chain, most of them have neglected the impact of deterioration and inflation. In this study, we develop an inventory model in green supply chain for deteriorating items considering recycling and reverse logistics taking inflation into account. It is assumed that remanufactured products will go to secondary market and have higher demand. Demand is assumed to be quadratic for remanufactured products while linear demand is followed for new products. Holding cost is assumed to be time dependent and deterioration is assumed to follow two-parameter Weibull distribution. The objective is to minimise total cost. Numerical and sensitivity analysis are carried out at the end of this paper.

Suggested Citation

  • Smita Rani & Rashid Ali & Anchal Agarwal, 2017. "Green supply chain inventory model for deteriorating items with variable demand under inflation," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 3(1), pages 50-77.
    • Handle: RePEc:ids:ijbfmi:v:3:y:2017:i:1:p:50-77
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    Cited by:

    1. Smita Rani & Rashid Ali & Anchal Agarwal, 2019. "Fuzzy inventory model for deteriorating items in a green supply chain with carbon concerned demand," OPSEARCH, Springer;Operational Research Society of India, vol. 56(1), pages 91-122, March.
    2. Dharmendra Yadav & Umesh Chand & Ruchi Goel & Biswajit Sarkar, 2023. "Smart Production System with Random Imperfect Process, Partial Backordering, and Deterioration in an Inflationary Environment," Mathematics, MDPI, vol. 11(2), pages 1-20, January.

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