Towards the smart and sustainable transformation of Reverse Logistics 4.0: a conceptualization and research agenda

被引:22
|
作者
Sun, Xu [1 ]
Yu, Hao [1 ]
Solvang, Wei Deng [1 ]
机构
[1] UiT Arctic Univ Norway, Dept Ind Engn, Lodve Langesgate 2, N-8514 Narvik, Norway
关键词
Industry; 4; 0; Technological transformation; Smart technologies; Reverse supply chain; Waste management; Sustainability; REVERSE LOGISTICS NETWORK; OPTIMIZATION MODEL; ROUTING PROBLEM; SUPPLY CHAIN; WASTE; FRAMEWORK; MANAGEMENT; ALGORITHM; DECISIONS; INTERNET;
D O I
10.1007/s11356-022-22473-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The recent advancement of digitalization and information and communication technology (ICT) has not only shifted the manufacturing paradigm towards the Fourth Industrial Revolution, namely Industry 4.0, but also provided opportunities for a smart logistics transformation. Despite studies have focused on improving the smartness, connectivity, and autonomy of isolated logistics operations with a primary focus on the forward channels, there is still a lack of a systematic conceptualization to guide the coming paradigm shift of reverse logistics, for instance, how "individualization" and "service innovation" should be interpreted in a smart reverse logistics context? To fill this gap, Reverse logistics 4.0 is defined, from a holistic perspective, in this paper to offer a systematic analysis of the technological impact of Industry 4.0 on reverse logistics. Based on the reported research and case studies from the literature, the conceptual framework of smart reverse logistics transformation is proposed to link Industry 4.0 enablers, smart service and operation transformation, and targeted sustainability goals. A smart reverse logistics architecture is also given to allow a high level of system integration enabled by intelligent devices and smart portals, autonomous robots, and advanced analytical tools, where the value of technological innovations can be exploited to solve various reverse logistics problems. Thus, the contribution of this research lies, through conceptual development, in presenting a clear roadmap and research agenda for the reverse logistics transformation in Industry 4.0.
引用
收藏
页码:69275 / 69293
页数:19
相关论文
共 50 条
  • [21] Sustainable supply chain Finance:Towards a research agenda
    Jia, Fu
    Zhang, Tianyu
    Chen, Lujie
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 243
  • [22] Green Cartography: A research agenda towards sustainable development
    Wu, Mingguang
    Lv, Guonian
    Qiao, Lige
    Roth, Robert E.
    Zhu, A-Xing
    [J]. ANNALS OF GIS, 2024, 30 (01) : 15 - 34
  • [23] Towards Resilient and Sustainable Production Systems: A Research Agenda
    Safsten, Kristina
    Harlin, Ulrika
    Johansen, Kerstin
    Larsson, Lisa
    von Steyern, Christina Vult
    Ronnback, Anna Ohrwall
    [J]. SPS 2022, 2022, 21 : 768 - 780
  • [24] SUSTAINABLE RURAL-DEVELOPMENT - TOWARDS A RESEARCH AGENDA
    MURDOCH, J
    [J]. GEOFORUM, 1993, 24 (03) : 225 - 241
  • [25] Resilient and sustainable production systems: towards a research agenda
    Safsten, Kristina
    Harlin, Ulrika
    Johansen, Kerstin
    Larsson, Lisa
    Ronnback, Anna Ohrwall
    [J]. INTERNATIONAL JOURNAL OF MANUFACTURING RESEARCH, 2023, 18 (04) : 343 - 365
  • [26] Theory of Change for the Transformation towards Smart Sustainable Cities
    Ibrahim, Maysoun
    El-Zaart, Ali
    Adams, Carl
    [J]. 2017 SENSORS NETWORKS SMART AND EMERGING TECHNOLOGIES (SENSET), 2017,
  • [27] Towards a sustainable world through a SMART digital transformation
    El Hilali, Wail
    El Manouar, Abdellah
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON NETWORKING, INFORMATION SYSTEMS & SECURITY (NISS19), 2019,
  • [28] Research and Education Towards Smart and Sustainable World
    Riekki, Jukka
    Mammela, Aarne
    [J]. IEEE ACCESS, 2021, 9 : 53156 - 53177
  • [29] Transformation towards Smart Working: Research proposal
    Samardzic, Marko
    Stefanovic, Darko
    Marjanovic, Ugljesa
    [J]. 2022 21ST INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH), 2022,
  • [30] Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
    Cinar, Zeki Murat
    Abdussalam Nuhu, Abubakar
    Zeeshan, Qasim
    Korhan, Orhan
    Asmael, Mohammed
    Safaei, Babak
    [J]. SUSTAINABILITY, 2020, 12 (19)