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A multi-item EOQ model for deterioration items with ramp-type demand and partial backlogging under carbon emission and inflationary environment

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  • Vipin Kumar
  • Anupama Sharma
  • C.B. Gupta

Abstract

Carbon emissions contribute most in the global warming. To minimise the adverse effect of global warming on society, countries are focusing to control CO2 and industries are investing in green products. All of this inclined the regulatory authorities and customers towards the environment. Thus, present study considers a novel multi-item inventory model for green products. Here, demand rate is considered as a function of initial inventory level, time, and carbon emission. This study also incorporates the carbon emissions associated with different attributes of inventory management such as procurement, purchasing, and holding inventory. Shortages are allowed and depend on the waiting time. The retailer adopts the supplier's trade credit strategy and study is carried out the inflationary environment. This model aims to optimise the total inventory cost subject to the upper cap of carbon emission. Observation based on analysis indicates some empirical observation. The sensitivity analysis concerning critical parameters showed that the optimal policy for green products is highly sensitive to the costs of shortages, and backlogging. Results indicate that incorporation of carbon issue while modelling for the green products is worthwhile for environment. Around 38% changed is observed in the inventory cost due to the change in scale parameter of demand.

Suggested Citation

  • Vipin Kumar & Anupama Sharma & C.B. Gupta, 2024. "A multi-item EOQ model for deterioration items with ramp-type demand and partial backlogging under carbon emission and inflationary environment," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 51(2), pages 260-296.
  • Handle: RePEc:ids:ijores:v:51:y:2024:i:2:p:260-296
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