By embracing sustainability, we can address the social and environmental challenges of the manufacturing industry without compromising productivity in today’s manufacturing landscape, two major concerns are maintaining high product quality and mitigating environmental impact. This chapter introduces a comprehensive model designed to create an eco-friendly manufacturing ecosystem and significantly reduce carbon emissions throughout the supply chain. The proposed model employs a multifaceted approach to cost minimization, incorporating various strategic elements. It considers market price fluctuations, enabling manufacturers to make cost-effective procurement decisions. Additionally, it takes into account stock-dependent demand, allowing for more accurate demand forecasting and inventory management. The chapter also delves into the role of pricing dynamics in capturing and retaining customer interest. Dynamics pricing strategies, which adjust prices based on various factors such as demand and competition, are explored for their potential to boost sales and customer satisfaction. A key aspect of this model is the emphasis on volume flexibility within flexible manufacturing systems. In flexibility systems, the model ensures that production can be adjusted based on current demand, reducing waste and overproduction. Furthermore, efficient replenishment strategies are included to maintain optimal inventory levels, thus minimizing holding costs and resource use. Transportation costs are another significant focus of the model. The chapter examines how transportation logistics, including fuel consumption, emissions, and distance covered, impact overall sustainability. By optimizing transportation routes and methods, manufacturers can reduce their carbon footprint and operational costs. To validate the practicality and effectiveness of the proposed model, the chapter presents a detailed numerical example. This example, along with a sensitivity analysis, demonstrates how the model can be applied in real-world scenarios to solve complex manufacturing problems. The sensitivity analysis further highlights the model’s robustness and its ability to adapt to different conditions and variables. Overall, the integration of sustainable practices into the manufacturing system, as outlined in this chapter, provides a pathway to address environmental and social issues while maintaining high productivity and quality standards. By adopting this model, manufacturers can achieve a balanced approach to sustainability and economic viability.

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Optimization of a Sustainable Integrated Inventory Model for Decaying Items with Multi-variate Demand and Controllable Emission

  • Monika Vishnoi,
  • Surbhi Singhal,
  • S. R. Singh

摘要

By embracing sustainability, we can address the social and environmental challenges of the manufacturing industry without compromising productivity in today’s manufacturing landscape, two major concerns are maintaining high product quality and mitigating environmental impact. This chapter introduces a comprehensive model designed to create an eco-friendly manufacturing ecosystem and significantly reduce carbon emissions throughout the supply chain. The proposed model employs a multifaceted approach to cost minimization, incorporating various strategic elements. It considers market price fluctuations, enabling manufacturers to make cost-effective procurement decisions. Additionally, it takes into account stock-dependent demand, allowing for more accurate demand forecasting and inventory management. The chapter also delves into the role of pricing dynamics in capturing and retaining customer interest. Dynamics pricing strategies, which adjust prices based on various factors such as demand and competition, are explored for their potential to boost sales and customer satisfaction. A key aspect of this model is the emphasis on volume flexibility within flexible manufacturing systems. In flexibility systems, the model ensures that production can be adjusted based on current demand, reducing waste and overproduction. Furthermore, efficient replenishment strategies are included to maintain optimal inventory levels, thus minimizing holding costs and resource use. Transportation costs are another significant focus of the model. The chapter examines how transportation logistics, including fuel consumption, emissions, and distance covered, impact overall sustainability. By optimizing transportation routes and methods, manufacturers can reduce their carbon footprint and operational costs. To validate the practicality and effectiveness of the proposed model, the chapter presents a detailed numerical example. This example, along with a sensitivity analysis, demonstrates how the model can be applied in real-world scenarios to solve complex manufacturing problems. The sensitivity analysis further highlights the model’s robustness and its ability to adapt to different conditions and variables. Overall, the integration of sustainable practices into the manufacturing system, as outlined in this chapter, provides a pathway to address environmental and social issues while maintaining high productivity and quality standards. By adopting this model, manufacturers can achieve a balanced approach to sustainability and economic viability.