<p>Managing the challenge of long-term profitability with environmental responsibility has emerged as a strategic imperative, particularly within complex supply chain operations. This study investigates the nexus of sustainability initiatives, marketing strategies, and inventory policies within a two-tier sustainable supply chain comprising a manufacturer and a dealer. Specifically, the research examines the synergistic effects of price discounting, promotional intensity, and time-dependent deterioration on green products with limited shelf lives. The model serves as a decision-support tool to identify optimal inventory policies that maximize total supply chain profit while mitigating environmental impact. The numerical analysis reveals that price-dependent demand increases the total profit of supply chain by nearly <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(20\%\)</EquationSource> </InlineEquation> compared to the constant demand case, while neglecting green-related parameters reduces the profit by <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(0.44\%\)</EquationSource> </InlineEquation>, highlighting the significance of investment in green technologies in the performance of sustainable supply chain. Through findings of this study industry can use multivariate demand function for green products to enhance the holistic sustainability for deteriorated product.</p>

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Optimizing profitability for a sustainable dynamic system with deteriorating green products under carbon emissions regulation

  • Isha Sangal,
  • Payal Singhal

摘要

Managing the challenge of long-term profitability with environmental responsibility has emerged as a strategic imperative, particularly within complex supply chain operations. This study investigates the nexus of sustainability initiatives, marketing strategies, and inventory policies within a two-tier sustainable supply chain comprising a manufacturer and a dealer. Specifically, the research examines the synergistic effects of price discounting, promotional intensity, and time-dependent deterioration on green products with limited shelf lives. The model serves as a decision-support tool to identify optimal inventory policies that maximize total supply chain profit while mitigating environmental impact. The numerical analysis reveals that price-dependent demand increases the total profit of supply chain by nearly \(20\%\) compared to the constant demand case, while neglecting green-related parameters reduces the profit by \(0.44\%\) , highlighting the significance of investment in green technologies in the performance of sustainable supply chain. Through findings of this study industry can use multivariate demand function for green products to enhance the holistic sustainability for deteriorated product.