Navigating Environmental Challenges through Supply Chain Quality Management 4.0 in Circular Economy: A Comprehensive Review

被引:5
作者
Nguyen, Kevin [1 ]
Akbari, Mohammadreza [2 ]
Quang, Huy Truong [1 ]
McDonald, Scott [1 ]
Hoang, Thu-Hang [3 ]
Yap, Teck Lee [1 ]
George, Majo [1 ]
机构
[1] RMIT Univ, Business Sch, Ho Chi Minh City 700000, Vietnam
[2] James Cook Univ, Coll Business Law & Governance, Douglas, Qld 4811, Australia
[3] Univ Econ, Sch Int Business Mkt, Ho Chi Minh City 700000, Vietnam
基金
日本学术振兴会;
关键词
Industry; 4.0; quality management; circular economy; supply chain; environmental impact; systematic literature review; sustainable development goals; BIG DATA; SUSTAINABILITY PERFORMANCE; FOOD TRACEABILITY; CONCEPTUAL-MODEL; SHELF-LIFE; INDUSTRY; FUTURE; INTERNET; INFORMATION; TECHNOLOGY;
D O I
10.3390/su152416720
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The infusion of circular economy (CE) principles into supply chain management has garnered significant attention from both scholars and industry professionals. Quality management and Industry 4.0 (SCQM 4.0) have emerged as central themes due to their potential to elevate supply chain efficiency and sustainability. In pursuit of this goal, a thorough literature review is conducted, with a specific focus on quality management within circular supply chains, placing a significant emphasis on Industry 4.0 (I4.0) technologies. By analyzing 126 papers spanning from 1998 to 2023, this systematic review discerns prevailing trends, identifies research gaps, and charts future avenues for investigation. These results highlight the growing academic interest in utilizing I4.0 technology to improve quality control in circular supply chains. SCQM 4.0 is thus proposed to aid in a better comprehension of Supply Chain Quality Management 4.0, which incorporates infrastructure practices rooted in various disruptive technologies and supply chain operations that link with sustainable performance with three key metrics of input management, waste handling, and preservation concentrating solely on the environmental aspect. Based on this research, we offer a four-tiered SCQM 4.0 practice path to achieve a CE.
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页数:26
相关论文
共 175 条
  • [11] Real-Time Monitoring System Using Smartphone-Based Sensors and NoSQL Database for Perishable Supply Chain
    Alfian, Ganjar
    Syafrudin, Muhammad
    Rhee, Jongtae
    [J]. SUSTAINABILITY, 2017, 9 (11)
  • [12] A bibliometric analysis of research on Big Data analytics for business and management
    Ardito, Lorenzo
    Scuotto, Veronica
    Del Giudice, Manlio
    Petruzzelli, Antonio Messeni
    [J]. MANAGEMENT DECISION, 2019, 57 (08) : 1993 - 2009
  • [13] The influence of sustainable supply chain management, technology orientation, and organizational culture on the delivery product quality-customer satisfaction nexus
    Asha, Asma Ansary
    Dulal, Marzia
    Habib, Ahashan
    [J]. CLEANER LOGISTICS AND SUPPLY CHAIN, 2023, 7
  • [14] Traceability in a food supply chain: Safety and quality perspectives
    Aung, Myo Min
    Chang, Yoon Seok
    [J]. FOOD CONTROL, 2014, 39 : 172 - 184
  • [15] New trends in cold chain monitoring applications - A review
    Badia-Melis, R.
    Mc Carthy, U.
    Ruiz-Garcia, L.
    Garcia-Hierro, J.
    Robla Villalba, J. I.
    [J]. FOOD CONTROL, 2018, 86 : 170 - 182
  • [16] Traceability technologies for farm animals and their products in China
    Bai, Hongwu
    Zhou, Guanghong
    Hu, Yinong
    Sun, Aidong
    Xu, Xinglian
    Liu, Xianjin
    Lu, Changhua
    [J]. FOOD CONTROL, 2017, 79 : 35 - 43
  • [17] Balamurugan S, 2016, INT RES J ENG TECHNO, V03, P713
  • [18] Mobile supply chain management in the Industry 4.0 era An annotated bibliography and guide for future research
    Barata, Joao
    Da Cunha, Paulo Rupino
    Stal, Janusz
    [J]. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2018, 31 (01) : 173 - 193
  • [19] Item-level Radio-Frequency IDentification for the traceability of food products: Application on a dairy product
    Barge, P.
    Gay, P.
    Merlino, V.
    Tortia, C.
    [J]. JOURNAL OF FOOD ENGINEERING, 2014, 125 : 119 - 130
  • [20] Barmpounakis Sokratis, 2015, Information Processing in Agriculture, V2, P51, DOI 10.1016/j.inpa.2015.04.002