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Smart box-enabled product–service system for cloud logistics

Author

Listed:
  • Yingfeng Zhang
  • Sichao Liu
  • Yang Liu
  • Rui Li

Abstract

Modern logistics takes significant progress and rapid developments with the prosperity of E-commerce, particularly in China. Typical challenges that logistics industry is facing now are composed by a lack of sharing, standard, cost-effective and environmental package and efficient optimisation method for logistics tasks distribution. As a result, it is difficult to implement green, sustainable logistics services. Three important technologies, Physical Internet (PI), product–service system (PSS) and cloud computing (CC), are adopted and developed to address the above issues. PI is extended to design a world-standard green recyclable smart box that is used to encapsulate goods. Smart box-enabled PSS is constructed to provide an innovative sustainable green logistics service, and high-quality packaging, as well as reduce logistics cost and environmental pollution. A real-time information-driven logistics tasks optimisation method is constructed by designing a cloud logistics platform based on CC. On this platform, a hierarchical tree-structure network for customer orders (COs) is built up to achieve the order-box matching of function. Then, a distance clustering analysis algorithm is presented to group and form the optimal clustering results for all COs, and a real-time information-driven optimisation method for logistics orders is proposed to minimise the unused volume of containers. Finally, a case study is simulated to demonstrate the efficiency and feasibility of proposed cloud logistics optimisation method.

Suggested Citation

  • Yingfeng Zhang & Sichao Liu & Yang Liu & Rui Li, 2016. "Smart box-enabled product–service system for cloud logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6693-6706, November.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:22:p:6693-6706
    DOI: 10.1080/00207543.2015.1134840
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    References listed on IDEAS

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    Cited by:

    1. Wang, Binni & Wang, Pong & Tu, Yiliu, 2021. "Customer satisfaction service match and service quality-based blockchain cloud manufacturing," International Journal of Production Economics, Elsevier, vol. 240(C).
    2. Tan, Jianhua & Wang, Xiongyuan & Chan, Kam C., 2020. "Does a national reform of a logistics system matter in corporate cash management? Evidence from logistics service standardization in China," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    3. Nguyen, Tiep & Duong, Quang Huy & Nguyen, Truong Van & Zhu, You & Zhou, Li, 2022. "Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 244(C).
    4. Shenle Pan & Ray Zhong & Ting Qu, 2019. "Smart product-service systems in interoperable logistics: Design and implementation prospects," Post-Print hal-02316272, HAL.
    5. Shenle Pan, 2019. "Opportunities of Product-Service System in Physical Internet," Post-Print hal-02155622, HAL.
    6. Yu Zhang & Nan Liu, 2021. "Optimal Internet of Things Technology Adoption Decisions and Pricing Strategies for High-Traceability Logistics Services," Sustainability, MDPI, vol. 13(19), pages 1-33, September.
    7. Yingfeng Zhang & Dong Xi & Haidong Yang & Fei Tao & Zhe Wang, 2019. "Cloud manufacturing based service encapsulation and optimal configuration method for injection molding machine," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2681-2699, October.
    8. Sunida Tiwong & Sakgasem Ramingwong & Korrakot Yaibuathet Tippayawong, 2020. "On LSP Lifecycle Model to Re-design Logistics Service: Case Studies of Thai LSPs," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    9. Kurtz, Julian & Zinke-Wehlmann, Christian & Lugmair, Nina & Schymanietz, Martin & Roth, Angela, 2023. "Characterising smart service systems – Revealing the smart value," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 7(2), pages 112-128.
    10. Yu Gong & Lujie Chen & Fu Jia & Richard Wilding, 2019. "Logistics Innovation in China: The Lens of Chinese Daoism," Sustainability, MDPI, vol. 11(2), pages 1-21, January.
    11. Masoud Zafarzadeh & Magnus Wiktorsson & Jannicke Baalsrud Hauge, 2021. "A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective," Logistics, MDPI, vol. 5(2), pages 1-32, April.
    12. Xinyang Xu & Yang Yang, 2022. "Analysis of the Dilemma of Promoting Circular Logistics Packaging in China: A Stochastic Evolutionary Game-Based Approach," IJERPH, MDPI, vol. 19(12), pages 1-22, June.
    13. Jesús García-Arca & José A. Comesaña-Benavides & A. Trinidad González-Portela Garrido & J. Carlos Prado-Prado, 2020. "Rethinking the Box for Sustainable Logistics," Sustainability, MDPI, vol. 12(5), pages 1-22, March.

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