Trade off model for optimal sustainability and resilience through circular economy
摘要
Circular economy (CE) and Carbon Tax (CT) play a significant role in the profit generation of industries in sharing networks. A resilient and sustainable network is recognized as a strategic problem that ensures efficient supply chain management while providing a greener platform. This study contributes to the literature by introducing a Multi-Objective Mixed Integer Linear Programming (MOMILP) trade-off model highlighting the balance between carbon emissions, profits, and resiliency in sharing networks. The mathematical model is applied to three scenarios to analyze the economic and environmental benefits of sharing networks compared to individual linear supply chain systems. Results indicate that sharing networks can significantly reduce carbon emissions while increasing profits for participating companies. By acknowledging the inherent trade-offs between economic and environmental objectives, the approach provides a more realistic perspective on the implementation of sharing networks in the industry, and the study demonstrates that adopting a trade-off model can lead to significant improvements in the overall sustainability and resilience of these networks. The results show an increase in profit (INR 723,721.280) and a reduction in carbon tax paid (INR 15831.854) for the trade-off model when compared to the linear supply chain model’s profit (INR 641,075.776) and carbon tax (INR 15,894.222). The results not only demonstrate the economic and environmental benefits of adopting such models but also provide strategic insights for managers on implementing sustainable practices effectively. This paper contributes to understanding how companies can balance economic and environmental objectives in adopting sustainable practices, such as sharing networks, and provides insights into the potential benefits of CE and CT policies in promoting sustainability in the industry.