IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v30y2019i7d10.1007_s10845-016-1278-y.html
   My bibliography  Save this article

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

Author

Listed:
  • M. Thürer

    (Jinan University (Zhuhai Campus)
    Jinan University (Zhuhai Campus))

  • Y. H. Pan

    (Jinan University (Zhuhai Campus)
    Guangdong University of Technology)

  • T. Qu

    (Jinan University (Zhuhai Campus)
    Jinan University (Zhuhai Campus))

  • H. Luo

    (Jinan University (Zhuhai Campus)
    Jinan University (Zhuhai Campus))

  • C. D. Li

    (Jinan University (Zhuhai Campus))

  • G. Q. Huang

    (Jinan University (Zhuhai Campus)
    The University of Hong Kong)

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.

Suggested Citation

  • M. Thürer & Y. H. Pan & T. Qu & H. Luo & C. D. Li & G. Q. Huang, 2019. "Internet of Things (IoT) driven kanban system for reverse logistics: solid waste collection," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2621-2630, October.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:7:d:10.1007_s10845-016-1278-y
    DOI: 10.1007/s10845-016-1278-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-016-1278-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10845-016-1278-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Richard E. White & John N. Pearson & Jeffrey R. Wilson, 1999. "JIT Manufacturing: A Survey of Implementations in Small and Large U.S. Manufacturers," Management Science, INFORMS, vol. 45(1), pages 1-15, January.
    2. Gong, Qiguo & Yang, Yuru & Wang, Shouyang, 2014. "Information and decision-making delays in MRP, KANBAN, and CONWIP," International Journal of Production Economics, Elsevier, vol. 156(C), pages 208-213.
    3. White, Richard E. & Prybutok, Victor, 2001. "The relationship between JIT practices and type of production system," Omega, Elsevier, vol. 29(2), pages 113-124, April.
    4. Lage Junior, Muris & Godinho Filho, Moacir, 2010. "Variations of the kanban system: Literature review and classification," International Journal of Production Economics, Elsevier, vol. 125(1), pages 13-21, May.
    5. Wallace J. Hopp & Mark L. Spearman, 2004. "To Pull or Not to Pull: What Is the Question?," Manufacturing & Service Operations Management, INFORMS, vol. 6(2), pages 133-148, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guoqing Zhang & Yiqin Yang & Guoqing Yang, 2023. "Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America," Annals of Operations Research, Springer, vol. 322(2), pages 1075-1117, March.
    2. Feng, Yunting & Lai, Kee-hung & Zhu, Qinghua, 2022. "Green supply chain innovation: Emergence, adoption, and challenges," International Journal of Production Economics, Elsevier, vol. 248(C).
    3. Mladen Krstić & Giulio Paolo Agnusdei & Pier Paolo Miglietta & Snežana Tadić & Violeta Roso, 2022. "Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method," Sustainability, MDPI, vol. 14(9), pages 1-30, May.
    4. Mohammed Alkahtani & Aiman Ziout & Bashir Salah & Moath Alatefi & Abd Elatty E. Abd Elgawad & Ahmed Badwelan & Umar Syarif, 2021. "An Insight into Reverse Logistics with a Focus on Collection Systems," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    5. Ziwen Zhang, 2022. "Internet of Things-Enabled Logistic Warehouse Scheduling Management With Human Machine Assistance," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(4), pages 1-17, October.
    6. Bueno, Adauto & Goyannes Gusmão Caiado, Rodrigo & Guedes de Oliveira, Thaís Lopes & Scavarda, Luiz Felipe & Filho, Moacir Godinho & Tortorella, Guilherme Luz, 2023. "Lean 4.0 implementation framework: Proposition using a multi-method research approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    7. Liang Hou & Roger J. Jiao, 2020. "Data-informed inverse design by product usage information: a review, framework and outlook," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 529-552, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thürer, Matthias & Stevenson, Mark & Protzman, Charles W., 2015. "COBACABANA (Control of Balance by Card Based Navigation): An alternative to kanban in the pure flow shop?," International Journal of Production Economics, Elsevier, vol. 166(C), pages 143-151.
    2. Plaza, Malgorzata & David, Iulian & Shirazi, Farid, 2018. "Management of inventory under market fluctuations the case of a Canadian high tech company," International Journal of Production Economics, Elsevier, vol. 205(C), pages 215-227.
    3. María Mojarro-Magaña & Jesús Everardo Olguín-Tiznado & Jorge Luis García-Alcaraz & Claudia Camargo-Wilson & Juan Andrés López-Barreras & Rubén Jesús Pérez-López, 2018. "Impact of the Planning from the Kanban System on the Company’s Operating Benefits," Sustainability, MDPI, vol. 10(7), pages 1-24, July.
    4. Scherrer-Rathje, Maike & Boyle, Todd A. & Deflorin, Patricia, 2009. "Lean, take two! Reflections from the second attempt at lean implementation," Business Horizons, Elsevier, vol. 52(1), pages 79-88.
    5. Maico Roris Severino & Moacir Godinho Filho, 2019. "POLCA system for supply chain management: simulation in the automotive industry," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1271-1289, March.
    6. Jos A. C. Bokhorst & Jannes Slomp, 2010. "Lean Production Control at a High-Variety, Low-Volume Parts Manufacturer," Interfaces, INFORMS, vol. 40(4), pages 303-312, August.
    7. Tomas Bonavia & Juan A. Marin‐Garcia, 2011. "Integrating human resource management into lean production and their impact on organizational performance," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(8), pages 923-938, November.
    8. Ziyang Li & Qianwei Ying & Wu Yan & Chenjun Fan, 2022. "Does just‐in‐time adoption have an impact on corporate innovation: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1599-1635, April.
    9. Thürer, Matthias & Stevenson, Mark, 2021. "Improving superfluous load avoidance release (SLAR): A new load-based SLAR mechanism," International Journal of Production Economics, Elsevier, vol. 231(C).
    10. Matthias Thürer & Nuno O. Fernandes & Mark Stevenson, 2020. "Material Flow Control in High‐Variety Make‐to‐Order Shops: Combining COBACABANA and POLCA," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2138-2152, September.
    11. Fullerton, Rosemary R. & McWatters, Cheryl S., 2002. "The role of performance measures and incentive systems in relation to the degree of JIT implementation," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 711-735, November.
    12. Bruno Michel Roman Pais Seles & Janaina Mascarenhas & Ana Beatriz Lopes de Sousa Jabbour & Adriana Hoffman Trevisan, 2022. "Smoothing the circular economy transition: The role of resources and capabilities enablers," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1814-1837, May.
    13. Miriam Pekarcikova & Peter Trebuna & Marek Kliment & Michal Dic, 2021. "Solution of Bottlenecks in the Logistics Flow by Applying the Kanban Module in the Tecnomatix Plant Simulation Software," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    14. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    15. Diogo Ferraz & Fernanda P. S. Falguera & Enzo B. Mariano & Dominik Hartmann, 2021. "Linking Economic Complexity, Diversification, and Industrial Policy with Sustainable Development: A Structured Literature Review," Sustainability, MDPI, vol. 13(3), pages 1-29, January.
    16. Zand, Fardad & Van Beers, Cees & Van Leeuwen, George, 2011. "Information technology, organizational change and firm productivity: A panel study of complementarity effects and clustering patterns in Manufacturing and Services," MPRA Paper 46469, University Library of Munich, Germany.
    17. Kroes, James R. & Manikas, Andrew S. & Gattiker, Thomas F., 2018. "Operational leanness and retail firm performance since 1980," International Journal of Production Economics, Elsevier, vol. 197(C), pages 262-274.
    18. Hoogstra-Klein, Marjanke A. & Meijboom, Kars, 2021. "A qualitative exploration of the wood product supply chain – investigating the possibilities and desirability of an increased demand orientation," Forest Policy and Economics, Elsevier, vol. 133(C).
    19. Sapovadia, Vrajlal, 2015. "Indian Manufacturing Sector: Competitiveness at Stake," MPRA Paper 68777, University Library of Munich, Germany.
    20. Christopher Cornwell & Ian M. Schmutte & Daniela Scur, 2021. "Building a Productive Workforce: The Role of Structured Management Practices," Management Science, INFORMS, vol. 67(12), pages 7308-7321, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joinma:v:30:y:2019:i:7:d:10.1007_s10845-016-1278-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.