Abstract

In today's context of heightened environmental consciousness and supply chain complexities, there is a growing imperative for businesses to optimize inventory policies while simultaneously addressing environmental sustainability goals. This paper contributes to the advancement of inventory management theory by extending the traditional EOQ model to incorporate stock-dependent demand, carbon emission considerations, and shortages within a fuzzy environment. The proposed model offers a valuable decision support tool for businesses seeking to optimize inventory policies while simultaneously addressing environmental sustainability objectives in an uncertain and dynamic marketplace.Numerical illustration is carried out by using software Mathematica 12.0. Robustness is carried out for the behavior of different parameters on optimal solution.

Author

A.B. Chandramauli and *Santosh   ( Pages 1-22 )
Email:santosh.yyadav@gmail.com
Affiliation: Department of Mathematics, Meerut College Meerut.      DOI:

Keyword

Stock dependent demand, carbon emission, shortage, fuzzy environment

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