<p>This research develops a sustainable inventory model for perishable goods, where demand is influenced by pricing, advertising frequency, and the product's ecological attributes. The framework includes preservation technology investment (PTI) to regulate deterioration rates and accounts for carbon emissions (CE) to promote environmental accountability. Unlike conventional models, the proposed methodology considers the per-unit profit allocated to PTI and incorporates an environmentally sensitive demand framework. A nonlinear optimization model is developed to determine the retailer's overall profit by concurrently establishing the optimal selling price, replenishment period, and PTI level. A comparative analysis reveals that the proposed model outperforms existing models. Numerical simulations are performed with Mathematica 13.2, and sensitivity analysis demonstrates the robustness of the decision variables to critical parameters. Managerial implications are formulated to facilitate decision-making in environmentally conscious retail settings. The model provides a robust decision-support tool for inventory management in industries handling perishable products with sustainability constraints. This study connects demand factors with profit-linked preservation investment to improve sustainability.</p>

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Sustainable Inventory Management for Perishable Products: Integrating Profit-Linked Preservation Investment and Environmentally Responsive Demand

  • Neha Rani,
  • Sumit Maheshwari,
  • Manoj Kumar Sharma

摘要

This research develops a sustainable inventory model for perishable goods, where demand is influenced by pricing, advertising frequency, and the product's ecological attributes. The framework includes preservation technology investment (PTI) to regulate deterioration rates and accounts for carbon emissions (CE) to promote environmental accountability. Unlike conventional models, the proposed methodology considers the per-unit profit allocated to PTI and incorporates an environmentally sensitive demand framework. A nonlinear optimization model is developed to determine the retailer's overall profit by concurrently establishing the optimal selling price, replenishment period, and PTI level. A comparative analysis reveals that the proposed model outperforms existing models. Numerical simulations are performed with Mathematica 13.2, and sensitivity analysis demonstrates the robustness of the decision variables to critical parameters. Managerial implications are formulated to facilitate decision-making in environmentally conscious retail settings. The model provides a robust decision-support tool for inventory management in industries handling perishable products with sustainability constraints. This study connects demand factors with profit-linked preservation investment to improve sustainability.