Intelligent IoT-Enabled System in Green Supply Chain using Integrated FCM Method
نویسنده
چکیده
From green supply chain perspective of the internet of things, actualization of the IoT into the complex system for green inventory management will link the real world with the digital world seamlessly. Modeling the complex systems in green supply chain can be hard in a computational utilization and inventory management of relationships exists. Two of the problems of IoT-enabled system are the lack of stable integrated architecture and autonomous mechanism. This paper proposes the intelligent IoT-enabled system in green supply chain using FCM and fuzzy QFD method. It aims to simulate complex system by linked physical and digital objects with relationships while enhancing decision-making performance efficiency for green inventory management. A case study and experiment evaluation of the proposed FCM approach on green supply chain is presented to provide some indication for work improvement. The experiment compares the total effects performance of the green inventory status as estimated by the two methods using the proposed IoT-enabled FCM and traditional FCM. Intelligent IoT-Enabled System in Green Supply Chain using Integrated FCM Method
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