Relationships between industry 4.0, sustainable manufacturing and circular economy: proposal of a research framework

被引:294
作者
Bag, Surajit [1 ]
Pretorius, Jan Harm Christiaan [1 ]
机构
[1] Univ Johannesburg, Postgrad Sch Engn Management, APB Campus, Johannesburg, South Africa
关键词
Literature review; Industry; 4; 0; Sustainable manufacturing; Circular economy; Resource-based view theory; RESOURCE-BASED VIEW; SUPPLY CHAIN; BIG DATA; PREDICTIVE ANALYTICS; FIRM PERFORMANCE; TRANSFORMATION; FUTURE; TECHNOLOGIES; PERSPECTIVE; BARRIERS;
D O I
10.1108/IJOA-04-2020-2120
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose The digital revolution has brought many challenges and opportunities for the manufacturing firms. The impact of Industry 4.0 technology adoption on sustainable manufacturing and circular economy has been under-researched. This paper aims to review the latest articles in the area of Industry 4.0, sustainable manufacturing and circular economy and further developed a research framework showing key paths. Design/methodology/approach Qualitative research is performed in two stages. In the first stage, a review of the extant literature is performed to identify the barriers, drivers, challenges and opportunities. In the second stage, a research framework is proposed to integrate Industry 4.0 technology (big data analytics powered artificial intelligence) adoption, sustainable manufacturing and circular economy capabilities. Findings This research extends the knowledge base by providing a detailed review of Industry 4.0, sustainable manufacturing, and circular economy and proposes a research framework by integrating these three contemporary concepts in the context of supply chain management. Through an exploration of this integrative research framework, the authors propose a future research agenda and seven research propositions. Research limitations/implications It is important to understand the interplay between institutional pressures, tangible resources and human skills for Industry 4.0 technology (big data analytics powered artificial intelligence) adoption. Industry 4.0 technology (big data analytics powered artificial intelligence) adoption can positively influence sustainable manufacturing and circular economy capabilities. Managers must also put more attention to sustainable manufacturing to develop circular economic capabilities. Social implications Factory workers and the local communities generally suffer from various adverse effects resulting from the traditional manufacturing process. The quality of the environment is deteriorating to such an extent that people even staying miles away from the factory are also affected due to environmental pollution that is generated from factory operations. Hence, sustainable manufacturing is the only choice left to manufacturers that can help in the transition to a circular economy. The research framework can help firms to enhance circular economy capabilities. Originality/value This review paper contains the most updated work on Industry 4.0, sustainable manufacturing and circular economy. It also proposes a research framework to integrate these three concepts.
引用
收藏
页码:864 / 898
页数:35
相关论文
共 220 条
[1]   Sustainability indicators for manufacturing sectors A literature survey and maturity analysis from the triple-bottom line perspective [J].
Ahmad, Shamraiz ;
Wong, Kuan Yew ;
Rajoo, Srithar .
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2019, 30 (02) :312-334
[2]   Do human critical success factors matter in adoption of sustainable manufacturing practices? An influential mapping analysis of multi-company perspective [J].
Ahuja, Jaya ;
Panda, Tapan Kumar ;
Luthra, Sunil ;
Kumar, Anil ;
Choudhary, Sangita ;
Garza-Reyes, Jose Arturo .
JOURNAL OF CLEANER PRODUCTION, 2019, 239
[3]   Process energy analysis and saving opportunities in small and medium size enterprises for cleaner industrial production [J].
Akan, Md Maniruzzaman ;
Fung, Alan. S. ;
Kumar, Rakesh .
JOURNAL OF CLEANER PRODUCTION, 2019, 233 :43-55
[4]   Essential Micro-foundations for Contemporary Business Operations: Top Management Tangible Competencies, Relationship-based Business Networks and Environmental Sustainability [J].
Akhtar, Pervaiz ;
Khan, Zaheer ;
Frynas, Jedrzej George ;
Tse, Ying Kei ;
Rao-Nicholson, Rekha .
BRITISH JOURNAL OF MANAGEMENT, 2018, 29 (01) :43-62
[5]   Modelling reverse supply chain through system dynamics for realizing the transition towards the circular economy: A case study on electric vehicle batteries [J].
Alamerew, Yohannes A. ;
Brissaud, Daniel .
JOURNAL OF CLEANER PRODUCTION, 2020, 254
[6]   Smart production systems: automating decision-making in manufacturing environment [J].
Alavian, Pooya ;
Eun, Yongsoon ;
Meerkov, Semyon M. ;
Zhang, Liang .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2020, 58 (03) :828-845
[7]   Industry 4.0: Smart Scheduling [J].
Alejandro Rossit, Daniel ;
Tohme, Fernando ;
Frutos, Mariano .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57 (12) :3802-3813
[8]   Emerging Roles of Lead Buyer Governance for Sustainability Across Global Production Networks [J].
Alexander, Rachel .
JOURNAL OF BUSINESS ETHICS, 2020, 162 (02) :269-290
[9]  
[Anonymous], 2017, MICRECONOMICS
[10]  
[Anonymous], 2018, DEMAND MANUFACTURING