Abstract

In today's global economy, sustainable practices have become increasingly vital across various industries, including inventory control and management. Traditional inventory models often prioritize short-term profitability without adequately addressing long-term environmental and social impacts. However, as concerns regarding resource depletion, environmental degradation, and social equity continue to mount, there is a growing imperative for sustainable inventory control solutions. This study presents an innovative sustainable inventory model designed to address this pressing need. The proposed model integrates preservation technology, defective item reuse strategies, and carbon emission considerations within a dynamic market environment characterized by fluctuating demand and shortages. By incorporating these elements, the model aims to optimize resource allocation, minimize waste generation, and reduce environmental impact while simultaneously meeting customer demands and maintaining operational efficiency. Through real-world examples and theoretical frameworks, the study demonstrates the relevance and urgency of adopting sustainable inventory control practices. The findings provide valuable insights for businesses seeking to enhance their sustainability performance and resilience in the face of evolving market dynamics and sustainability challenges. The objective of this model is to maximize the total sales revenue when demand is depend on price, green technology investment and stock of inventory. The research introduces an efficient algorithm to obtain the optimal solution. The proposed model is validated through a numerical example. Conducting sensitivity analysis allows us to investigate the impact of different parameters on the optimal solution.

Author

A.B. Chandramauli, *Santosh, Shrestha Pundir   ( Pages 113-139 )
Email:santosh.yyadav@gmail.com
Affiliation: Department of Mathematics, Meerut College Meerut.       DOI:

Keyword

Carbon emission reduction, variable holding cost, sustainable inventory, partial backlogging

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