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<p>After analyzing the last many years of big or small warehouse deteriorated inventory organization trends, it has come to consideration that warehouse management faces the impact of some common factors like inflation, deterioration rate, shortage, etc. To mitigate the impact of these factors, management needs to investigate and take initiatives that will help achieve the desired optimal results. By exploring the impact of these factors, a manager can handle the situation if any one factor highly fluctuates. This research paper integrates preservation technology, different deterioration rates, demand rates, and the time value of money. Additionally, this research article applies the concept of green investment and carbon emissions. Applying these factors enhances the model's realism and aligns it with daily life and robust market situations. Furthermore, the learning effect involvement indicates how skill and experience make work easy and effective, which leads in turn to profit. This study analyzes how all the above factors collectively play a crucial role and help the warehouse manager to handle operations at various stages, which helps him to make a fruitful decision. Finally, sensitivity analysis has been done with the help of Mathematica software 12.0. Additionally, numerical examples have been highlighted, which give robustness to the model.</p>

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Sustainable Optimization of Warehouse Systems: Integrating Green Products, Carbon Emissions Reduction, Economic Dynamics, and Learning Effects

  • 期刊论文

  • 发表日期：

    2026年2月28日

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  • Sachin Kumar Verma,
  • Manoj Kumar,
  • A. K. Malik

摘要

After analyzing the last many years of big or small warehouse deteriorated inventory organization trends, it has come to consideration that warehouse management faces the impact of some common factors like inflation, deterioration rate, shortage, etc. To mitigate the impact of these factors, management needs to investigate and take initiatives that will help achieve the desired optimal results. By exploring the impact of these factors, a manager can handle the situation if any one factor highly fluctuates. This research paper integrates preservation technology, different deterioration rates, demand rates, and the time value of money. Additionally, this research article applies the concept of green investment and carbon emissions. Applying these factors enhances the model's realism and aligns it with daily life and robust market situations. Furthermore, the learning effect involvement indicates how skill and experience make work easy and effective, which leads in turn to profit. This study analyzes how all the above factors collectively play a crucial role and help the warehouse manager to handle operations at various stages, which helps him to make a fruitful decision. Finally, sensitivity analysis has been done with the help of Mathematica software 12.0. Additionally, numerical examples have been highlighted, which give robustness to the model.