A Mathematical Framework Evaluation for Sustainable EOQ Considering Environmental Factors

One of the key concerns in production planning has always been determining the economic lot size. Researchers have been studying this issue for a while, and numerous models have been created to meet objectives with the least amount of expense. This study's objective is to assess a more sophisticated approach to deciding lot size by taking into account the costs associated with emissions taxes (environmental impact). It will be suggested to adopt a framework, called Sustainable Economic Order Quantity (SEOQ), for inventory control in the pump manufacturing industry. For the purpose of assisting decision-makers and policies on inventory issues, this study included a useful numerical analysis as well as a sensitivity analysis. Finally, the experimental findings demonstrated that the suggested models would solve the issues with the lowest possible overall inventory costs.

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Publication Details

Journal
Advances in Nonlinear Variational Inequalities
Published
2024-08-23
DOI
https://doi.org/10.52783/anvi.v27.1355
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

A Mathematical Framework Evaluation for Sustainable EOQ Considering Environmental Factors

Ajeet Baraskar
Advances in Nonlinear Variational Inequalities
Multi-Criteria Decision Making
article

A Mathematical Framework Evaluation for Sustainable EOQ Considering Environmental Factors

Ajeet Baraskar
article en

Abstract

One of the key concerns in production planning has always been determining the economic lot size. Researchers have been studying this issue for a while, and numerous models have been created to meet objectives with the least amount of expense. This study's objective is to assess a more sophisticated approach to deciding lot size by taking into account the costs associated with emissions taxes (environmental impact). It will be suggested to adopt a framework, called Sustainable Economic Order Quantity (SEOQ), for inventory control in the pump manufacturing industry. For the purpose of assisting decision-makers and policies on inventory issues, this study included a useful numerical analysis as well as a sensitivity analysis. Finally, the experimental findings demonstrated that the suggested models would solve the issues with the lowest possible overall inventory costs.

Advances in Nonlinear Variational InequalitiesVol. 27(3)
Openalex Percentile: Top 75%
Multi-Criteria Decision Making
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