Abstract
In this paper, a binary-extensible quality status encoding scheme, named IQSCT (IoT quality status code table), is proposed for the PCB-based product with available recovery options in remanufacturing. IQSCT is achieved by code evolution based on binary logic, in which the product flow and the quality information flow are integrated, and three key features of PCB-based product (PCB-module association, assembly-disassembly logic, and disassembly risk) are involved in production costing. With IQSCT, the manufacturer can have better decisions to reduce remanufacturing cost and improve resource utilization, which is verified by a case study based on the real data from BOM cost and corresponding estimation of Apple iPhone 11 series.
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Acknowledgements
The authors would like to thank the anonymous associate editor, and three referees for their constructive comments that helped improve the paper This research was supported by the National Natural Science Foundation of China (Grant Nos. 71871058 and 71531010).
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Sijie Li received his PhD in 2006 from the Management School of USTC, China. He is an associate professor at Southeast University, China. His research interests include supply chain management, quality management and IoT.
You Shang is a PhD candidate in the School of Economics and Management at Southeast University, China. His research interests include remanufacturing optimization for mass production, and big data analysis therein.
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Li, S., Shang, Y. A quality status encoding scheme for PCB-based products in IoT-enabled remanufacturing. Front. Comput. Sci. 15, 155615 (2021). https://doi.org/10.1007/s11704-020-9175-0
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DOI: https://doi.org/10.1007/s11704-020-9175-0