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Internet of Things (IoT) driven kanban system for reverse logistics: solid waste collection

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Abstract

Increasing consumer awareness and soaring prices for raw material make reverse logistics an ever more important aspect of the product life cycle. However, most research focuses on the remanufacturing and recycling process leaving the actual tasks of waste collection behind. Moreover, existing research on waste collection typically assumes the problem to be deterministic, neglecting its stochastic nature. This study first diagnoses the solid waste collection problem; it is classified as an inventory control problem with confluent material flows and stochastic demand. A type of control system designed for this kind of problem is the kanban system. In response, the applicability of a kanban system for solid waste collection is discussed. While kanbans are a suitable mean to signal time and quantity of waste collection, the large quantity of collection points and geographical distances involved hinder its direct application. How the kanban system can be driven by the Internet of Things (IoT) was consequently the second objective of this study. Using a framework of an IoT driven production logistics system the control structure of the original kanban system has been analyzed. Out of this analysis the architecture of an IoT driven kanban system for solid waste collection is proposed.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (51475095, 71550110254), Guangdong Natural Science Foundation (2016A030311041), 2015 Guangdong Special Support Scheme (2014TQ01X706), High-level Talent Scheme of Guangdong Education Department (2014-2016), 2016 Research Cultivation and Innovation Fund of Jinan University.

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Authors and Affiliations

  1. Institute of Physical Internet, Jinan University (Zhuhai Campus), Zhuhai, 519070, People’s Republic of China

    M. Thürer, Y. H. Pan, T. Qu, H. Luo, C. D. Li & G. Q. Huang

  2. School of Electrical and Information Engineering, Jinan University (Zhuhai Campus), Zhuhai, 519070, People’s Republic of China

    M. Thürer, T. Qu & H. Luo

  3. Guangdong CIMS Provincial Key Lab, Guangdong University of Technology, Guangzhou, 510006, People’s Republic of China

    Y. H. Pan

  4. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, People’s Republic of China

    G. Q. Huang

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  1. M. Thürer
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  2. Y. H. Pan
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  3. T. Qu
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  4. H. Luo
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  5. C. D. Li
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  6. G. Q. Huang
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Correspondence to T. Qu.

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Thürer, M., Pan, Y.H., Qu, T. et al. Internet of Things (IoT) driven kanban system for reverse logistics: solid waste collection. J Intell Manuf 30, 2621–2630 (2019). https://doi.org/10.1007/s10845-016-1278-y

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  • DOI: https://doi.org/10.1007/s10845-016-1278-y

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