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<p>There has been a major increase in the amount of literature on inventory models for growing items such as livestock. More recently, many studies have begun incorporating environmental factors into the optimization of replenishment policies for these items. However, these considerations remain largely confined to carbon emissions. And while emissions are certainly a major concern today, other climatic elements—such as temperature, humidity, and weather variability—also significantly influence the supply chain dynamics of growing items. As such, there is a need to develop inventory models that capture the dynamic interplay of these climate variables. Including temperature, humidity, and carboClimate change introduces severn emissions in the modeling process, modifies growth functions, and adjusts cost components. This paper proposes a sustainable inventory model for growing items whose development is influenced by temperature and humidity, with the objective of maximizing profit while remaining compliant with environmental regulations. The model is solved using a suitable algorithm and validated through a numerical example. Sensitivity analysis investigates how climatic factors impact order quantity and profitability. The results indicate that climate-induced imperfections and emission-related costs reduce profit, prompting adaptive strategies such as optimized feeding schedules and carbon mitigation. This study provides practical managerial insights into sustainable inventory management and identifies future research opportunities in areas such as stochastic climate modeling and multi-echelon systems.</p>

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Effect of Climate on the Supply Chain for Growing Items with Imperfect Quality

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月24日

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  • Mehak Sharma,
  • Mandeep Mittal,
  • Anil Dhanda,
  • Makoena Sebatjane,
  • Divya Agarwal

摘要

There has been a major increase in the amount of literature on inventory models for growing items such as livestock. More recently, many studies have begun incorporating environmental factors into the optimization of replenishment policies for these items. However, these considerations remain largely confined to carbon emissions. And while emissions are certainly a major concern today, other climatic elements—such as temperature, humidity, and weather variability—also significantly influence the supply chain dynamics of growing items. As such, there is a need to develop inventory models that capture the dynamic interplay of these climate variables. Including temperature, humidity, and carboClimate change introduces severn emissions in the modeling process, modifies growth functions, and adjusts cost components. This paper proposes a sustainable inventory model for growing items whose development is influenced by temperature and humidity, with the objective of maximizing profit while remaining compliant with environmental regulations. The model is solved using a suitable algorithm and validated through a numerical example. Sensitivity analysis investigates how climatic factors impact order quantity and profitability. The results indicate that climate-induced imperfections and emission-related costs reduce profit, prompting adaptive strategies such as optimized feeding schedules and carbon mitigation. This study provides practical managerial insights into sustainable inventory management and identifies future research opportunities in areas such as stochastic climate modeling and multi-echelon systems.