Application of Industry 4.0 tools to empower circular economy and achieving sustainability in supply chain operations

被引:38
作者
Bag, Surajit [1 ]
Wood, Lincoln C. [2 ]
Telukdarie, Arnesh [5 ]
Venkatesh, V. G. [3 ,4 ]
机构
[1] Univ Johannesburg, Dept Transport & Supply Chain Management, Johannesburg, South Africa
[2] Univ Otago, Dept Management, Dunedin, New Zealand
[3] Univ Waikato, Waikato Management Sch, Hamilton, New Zealand
[4] EM Normandie Business Sch, METIS Lab, Le Havre, France
[5] Univ Johannesburg, Fac Engn & Built Environm, Johannesburg, South Africa
关键词
Industry; 4; 0; circular economy; organization information processing theory; remanufacturing; sustainability; INFORMATION-PROCESSING THEORY; PARTIAL LEAST-SQUARES; CLIMATE-CHANGE; BIG DATA; MANUFACTURING SYSTEMS; EMPIRICAL-RESEARCH; FIRM PERFORMANCE; PLS-SEM; MANAGEMENT; IMPLEMENTATION;
D O I
10.1080/09537287.2021.1980902
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study considers how effective South African manufacturing enterprises have used Industry 4.0 tools and applications to achieve sustainability in supply chain operations. Organization Information Processing Theory (OIPT) suggests Industry 4.0 tools should enhance operational capabilities. South African manufacturers were surveyed and 200 responses were received. Partial least squares structural equation modelling (PLS-SEM) was used to test the conceptual model. We provide evidence that using Industry 4.0 tools to improve resource consumption rate and reduce waste and pollution is most likely to enhance sustainable supply chain operations. Both the control orientation and the flexible orientation of the production team enhance their ability to generate positive sustainable outcomes from Industry 4.0 use. The results may not be generalizable to other, less developed nations, which struggle with Industry 4.0 implementation but should generalize to other developing nations. This study has a clear implication that there are viable pathways to sustainable supply chain operations, driven by Industry 4.0 applications, through improving resource consumption and reducing waste and pollution.
引用
收藏
页码:918 / 940
页数:23
相关论文
共 106 条
[1]  
Allianz, 2018, ALL RISK BAR TOP BUS
[2]   Firm's resilience to supply chain disruptions: Scale development and empirical examination [J].
Ambulkar, Saurabh ;
Blackhurst, Jennifer ;
Grawe, Scott .
JOURNAL OF OPERATIONS MANAGEMENT, 2015, 33-34 :111-122
[3]  
Amundson SD, 1998, J OPER MANAG, V16, P341, DOI 10.1016/S0272-6963(98)00018-7
[4]   ESTIMATING NONRESPONSE BIAS IN MAIL SURVEYS [J].
ARMSTRONG, JS ;
OVERTON, TS .
JOURNAL OF MARKETING RESEARCH, 1977, 14 (03) :396-402
[5]   Matching plant flexibility and supplier flexibility: Lessons from small suppliers of US manufacturing plants in India [J].
Avittathur, Balram ;
Swamidass, Paul .
JOURNAL OF OPERATIONS MANAGEMENT, 2007, 25 (03) :717-735
[6]   Big data and predictive analysis is key to superior supply chain performance: A south african experience [J].
Bag S. .
International Journal of Information Systems and Supply Chain Management, 2017, 10 (02) :66-84
[7]  
Bahrin MAK, 2016, J TEKNOL, V78, P137
[8]   Subjective Performance Assessment of Innovation Projects [J].
Blindenbach-Driessen, Floortje ;
van Dalen, Jan ;
van den Ende, Jan .
JOURNAL OF PRODUCT INNOVATION MANAGEMENT, 2010, 27 (04) :572-592
[9]   Design of smart connected manufacturing resources to enable changeability, reconfigurability and total-cost-of-ownership models in the factory-of-the-future [J].
Brad, Stelian ;
Murar, Mircea ;
Brad, Emilia .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (06) :2269-2291
[10]   The impact of supply base complexity on disruptions and performance: the moderating effects of slack and visibility [J].
Brandon-Jones, Emma ;
Squire, Brian ;
Van Rossenberg, Yvonne G. T. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2015, 53 (22) :6903-6918