Computational Analysis of the Framework Evaluation for Sustainable EOQ Considering Emission Tax with Capital Constraints

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) with capital constraints. It will be suggested to adopt a framework, called Sustainable Economic Order Quantity (SEOQ), for inventory control in the 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.