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Intelligent IoT-Enabled System in Green Supply Chain using Integrated FCM Method

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  • Rui-Yang Chen

    (Department of Business Administration, Aletheia University, New Taipei City, Taiwan)

Abstract

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.

Suggested Citation

  • Rui-Yang Chen, 2015. "Intelligent IoT-Enabled System in Green Supply Chain using Integrated FCM Method," International Journal of Business Analytics (IJBAN), IGI Global, vol. 2(3), pages 47-66, July.
    • Handle: RePEc:igg:jban00:v:2:y:2015:i:3:p:47-66
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    Cited by:

    1. Nozari Hamed & Fallah Mohammad & Szmelter-Jarosz Agnieszka & Krzemiński Maciej, 2021. "Analysis of Security Criteria for IoT-Based Supply Chain: A Case Study of FMCG Industries," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 29(4), pages 149-171, December.
    2. Ricardo Chalmeta & Nestor J. Santos-deLeón, 2020. "Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research," Sustainability, MDPI, vol. 12(10), pages 1-24, May.
    3. Yasaman Mashayekhy & Amir Babaei & Xue-Ming Yuan & Anrong Xue, 2022. "Impact of Internet of Things (IoT) on Inventory Management: A Literature Survey," Logistics, MDPI, vol. 6(2), pages 1-19, May.

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