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There are so many environmental problems in the current world. A significant factor is the emission of carbon from diverse sources, encompassing multiple industries and modes of transportation. The terminology associated with the sustainable inventory model has garnered considerable attention in recent years, especially regarding its economic and environmental impacts. The emphasis has turned to reduce environmental consequences through the implementation of green technologies and a reduction in carbon emissions. Another typical element of the current inventory system is the inflation phenomenon. Considering this issue, we have proposed a sustainable inventory model with imperfect products under an inflationary environment. This study involves the adoption of green techniques to mitigate carbon emissions resulting from the operation of the inventory system. Additionally, preservation technologies are employed to decrease the deterioration rate of the products. Preservation techniques are still uncommon in the literature due to concerns about carbon emissions. An inspection method has been implemented to distinguish defective items from perfect ones. To encourage the sale of defective items; a discount strategy is introduced in this model. This research aims to obtain the optimal selling price for a retailer's total profit when demand price and carbon emission reduction sensitive. The findings of the proposed model demonstrate how an appropriate investment in green might help to reduce the environment's rising carbon emissions. The suggested model is also created within a fuzzy environment, and the overall profit is de-fuzzified using graded mean integration and the signed distance method. The impact of variable holding cost has been considered throughout the analysis. A numerical illustration has been performed in a both crisp and fuzzy sense to validate the proposed model. Also, the concavity of the total profit for each case is shown by MATHEMATICA 12 software. Finally, sensitivity analysis is carried out for various parameters to gather insightful observations.

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Low Carbon Inventory Model of Imperfect Items with Screening, Preservation and Green Investment Under Inflationary and Fuzzy Environment

  • 章节

  • 发表日期：

    2025年

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  • Vaishali Singh,
  • S. R. Singh,
  • Surendra Vikram Singh Padiyar

摘要

There are so many environmental problems in the current world. A significant factor is the emission of carbon from diverse sources, encompassing multiple industries and modes of transportation. The terminology associated with the sustainable inventory model has garnered considerable attention in recent years, especially regarding its economic and environmental impacts. The emphasis has turned to reduce environmental consequences through the implementation of green technologies and a reduction in carbon emissions. Another typical element of the current inventory system is the inflation phenomenon. Considering this issue, we have proposed a sustainable inventory model with imperfect products under an inflationary environment. This study involves the adoption of green techniques to mitigate carbon emissions resulting from the operation of the inventory system. Additionally, preservation technologies are employed to decrease the deterioration rate of the products. Preservation techniques are still uncommon in the literature due to concerns about carbon emissions. An inspection method has been implemented to distinguish defective items from perfect ones. To encourage the sale of defective items; a discount strategy is introduced in this model. This research aims to obtain the optimal selling price for a retailer's total profit when demand price and carbon emission reduction sensitive. The findings of the proposed model demonstrate how an appropriate investment in green might help to reduce the environment's rising carbon emissions. The suggested model is also created within a fuzzy environment, and the overall profit is de-fuzzified using graded mean integration and the signed distance method. The impact of variable holding cost has been considered throughout the analysis. A numerical illustration has been performed in a both crisp and fuzzy sense to validate the proposed model. Also, the concavity of the total profit for each case is shown by MATHEMATICA 12 software. Finally, sensitivity analysis is carried out for various parameters to gather insightful observations.