Access the full text.
Sign up today, get DeepDyve free for 14 days.
S. Luthra, S. Mangla (2018)
Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economiesProcess Safety and Environmental Protection
K. Winans, A. Kendall, H. Deng (2017)
The history and current applications of the circular economy conceptRenewable & Sustainable Energy Reviews, 68
Qinghua Zhu, Y. Geng, K. Lai (2010)
Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications.Journal of environmental management, 91 6
M. Andersen (2007)
An introductory note on the environmental economics of the circular economySustainability Science, 2
Hina Arora, T. Raghu, A. Vinze, Peter Brittenham (2006)
Collaborative Self-Configuration and Learning in Autonomic Computing Systems: Applications to Supply Chain2006 IEEE International Conference on Autonomic Computing
Martin Geissdoerfer, P. Savaget, N. Bocken, E. Hultink (2017)
The Circular Economy - A New Sustainability Paradigm?Sustainability at Work eJournal
M. Elkhodr, S. Shahrestani, Hon Cheung (2016)
The Internet of Things: New Interoperability, Management and Security ChallengesArXiv, abs/1604.04824
I. Jawahir, Ryan Bradley (2016)
Technological Elements of Circular Economy and the Principles of 6R-Based Closed-loop Material Flow in Sustainable ManufacturingProcedia CIRP, 40
A. Athreya, P. Tague (2013)
Network self-organization in the Internet of Things2013 IEEE International Workshop of Internet-of-Things Networking and Control (IoT-NC)
T. Stock, G. Seliger (2016)
Opportunities of Sustainable Manufacturing in Industry 4.0Procedia CIRP, 40
Management Decision
P. Leitão, A. Colombo, S. Karnouskos (2016)
Industrial automation based on cyber-physical systems technologies: Prototype implementations and challengesComput. Ind., 81
Hany Atlam, R. Walters, G. Wills (2018)
Fog Computing and the Internet of Things: A ReviewBig Data Cogn. Comput., 2
Daniel Nascimento, Viviam Alencastro, O. Quelhas, R. Caiado, J. Garza‐Reyes, Luis Rocha-Lona, G. Tortorella (2019)
Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing contextJournal of Manufacturing Technology Management
Praveen Goyal, Divesh Kumar (2017)
Modeling the CSR barriers in manufacturing industriesBenchmarking: An International Journal, 24
L. Monostori (2014)
Cyber-physical production systems: Roots, expectations and R&D challengesProcedia CIRP, 17
K. Govindan, M. Hasanagic (2018)
A systematic review on drivers, barriers, and practices towards circular economy: a supply chain perspectiveInternational Journal of Production Research, 56
P. Ghadimi, Chao Wang, M. Lim (2019)
Sustainable supply chain modeling and analysis: Past debate, present problems and future challengesResources, Conservation and Recycling
Aris Pagoropoulos, D. Pigosso, T. McAloone (2017)
The Emergent Role of Digital Technologies in the Circular Economy: A ReviewProcedia CIRP, 64
Shubhangini Rajput, S. Singh (2019)
Identifying Industry 4.0 IoT enablers by integrated PCA-ISM-DEMATEL approachManagement Decision
Ankur Chauhan, Harpreet Kaur, S. Yadav, S. Jakhar (2020)
A hybrid model for investigating and selecting a sustainable supply chain for agri-produce in IndiaAnnals of Operations Research, 290
Rameshwar Dubey, A. Gunasekaran, T. Papadopoulos (2017)
Green supply chain management: theoretical framework and further research directionsBenchmarking: An International Journal, 24
M. Usman, Xing Zhang, H. Chiroma, Adamu Abubakar, A. Gital (2014)
A framework for realizing universal standardization for internet of thingsJournal of Industrial and Intelligent Information, 2
Journal of Manufacturing Technology Management, 30
Keliang Zhou, Taigang Liu, Lifeng Zhou (2015)
Industry 4.0: Towards future industrial opportunities and challenges2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
A. Mandal, S. Deshmukh (1994)
Vendor Selection Using Interpretive Structural Modelling (ISM)International Journal of Operations & Production Management, 14
Michael Lieder, F. Asif, A. Rashid, A. Mihelic, Simon Kotnik (2017)
Towards circular economy implementation in manufacturing systems using a multi-method simulation approach to link design and business strategyThe International Journal of Advanced Manufacturing Technology, 93
Lida Xu, E. Xu, L. Li (2018)
Industry 4.0: state of the art and future trendsInternational Journal of Production Research, 56
L. Ardito, A. Petruzzelli, Umberto Panniello, A. Garavelli (2018)
Towards Industry 4.0Bus. Process. Manag. J., 25
Sourabh Jain, N. Jain, B. Metri (2018)
Strategic framework towards measuring a circular supply chain managementBenchmarking: An International Journal
Y. Geng, B. Doberstein (2008)
Developing the circular economy in China: Challenges and opportunities for achieving 'leapfrog development'International Journal of Sustainable Development & World Ecology, 15
R. Gray, Reza Kouhy, Simon Lavers (1995)
Corporate social and environmental reportingAccounting, Auditing & Accountability Journal, 8
Riccardo Pozza, M. Nati, S. Georgoulas, K. Moessner, A. Gluhak (2015)
Neighbor Discovery for Opportunistic Networking in Internet of Things Scenarios: A SurveyIEEE Access, 3
Shubhangini Rajput, S. Singh (2019)
Connecting circular economy and industry 4.0Int. J. Inf. Manag., 49
Michael Lieder, A. Rashid (2016)
Towards circular economy implementation: a comprehensive review in context of manufacturing industryJournal of Cleaner Production, 115
Rakesh Raut, P. Priyadarshinee, M. Jha, Bhaskar Gardas, Sachin Kamble (2018)
Modeling the implementation barriers of cloud computing adoptionBenchmarking: An International Journal
D. Miorandi, S. Sicari, F. Pellegrini, I. Chlamtac (2012)
Internet of things: Vision, applications and research challengesAd Hoc Networks, 10
J. Warfield (1974)
Developing Interconnection Matrices in Structural ModelingIEEE Trans. Syst. Man Cybern., 4
A. Athreya, P. Tague (2013)
Network self-organization in the Internet of Things2013 IEEE International Conference on Sensing, Communications and Networking (SECON)
Ana Jabbour, C. Jabbour, Moacir Filho, David Roubaud (2018)
Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operationsAnnals of Operations Research, 270
D. Chicksand, G. Watson, H. Walker, Z. Radnor, B. Johnsen, K. Liyanage (2010)
Theoretical perspectives in purchasing and supply chain management: an analysis of the literature
E. Ahmed, Ibrar Yaqoob, I. Hashem, M. Khan, Abdelmuttlib ahmed, M. Imran, A. Vasilakos (2017)
The role of big data analytics in Internet of ThingsComput. Networks, 129
Business Process Management Journal, 25
A. Digalwar, N. Mundra, A. Tagalpallewar, V. Sunnapwar (2017)
Road map for the implementation of green manufacturing practices in Indian manufacturing industries: An ISM approachBenchmarking: An International Journal, 24
R. Zhong, S. Newman, G. Huang, Shulin Lan (2016)
Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectivesComput. Ind. Eng., 101
The purpose of this paper is to identify the Industry 4.0 barriers to achieve circular economy (CE). The study focuses on exploring the link between Industry 4.0 and CE. This leads to the implementation of integrated Industry 4.0-CE and attainment of sustainable production and consumption through analyzing the technological benefits of Industry 4.0.Design/methodology/approachIndustry 4.0 barriers are identified from literature review and discussions with industry experts. Here, the interpretive structural modeling (ISM) technique is applied to develop the contextual relationship among the barriers and to identify the prominent barriers hindering the CE implementation.FindingsThe ISM hierarchical model and Matriced’ impacts croised-multiplication applique’ and classment analysis illustrate that the digitalization process and the semantic interoperability possess high driving power and low dependence. These barriers require keen attention to play a significant role in improving resource efficiency and sustainability, and absence of these barriers may not drive other barriers for CE. Apart from these barriers, cyber-physical systems standards and specifications, sensor technology and design challenges are also the most influential Industry 4.0 barriers for achieving CE.Practical implicationsThe findings provide an opportunity for industry practitioners to explore the most driving Industry 4.0 barriers. The study confirms that integrated Industry 4.0-CE will maintain sustainable operations management by optimizing the production and consumption patterns. It will also provide an opportunity of customization where customers and products interact and can monitor the performance of the operations through the Internet of Things sensors.Originality/valueThe study provides integration of Industry 4.0 challenges to implement CE. However, the integration of the two burgeoning fields is still very scarce and lacks in adopting the technological benefits of the integrated Industry 4.0-CE.
Benchmarking: An International Journal – Emerald Publishing
Published: May 21, 2021
Keywords: ISM; Barriers; Circular economy; Industry 4.0; Industry 4.0-CE
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.