Investigating Potential Interventions on disruptive impacts of Industry 4.0 technologies in Circular Supply chains: Evidence from SMEs of an Emerging Economy
Journal article
Authors | Amoozad Mahdiraji, H., Fatemeh, Y., Abbasi-Kamardi, A.. and Garza-Reyes, J. |
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Abstract | As a transversal theme, the intertwining of digitalization and sustainability has crossed all Supply Chains (SCs) levels dealing with widespread environmental and societal concerns. This paper investigates the potential interventions and disruptive impacts that Industry 4.0 technologies may have on pharmaceutical Circular SCs (CSCs). To accomplish this, a novel method involving a literature review and Pythagorean fuzzy-Delphi has initially been employed to identify and screen categorized lists of Industry 4.0 Disruptive Technologies (IDTs) and their impacts on pharmaceutical CSC. Subsequently, the weight of finalized impacts and the performance score of finalized IDTs have simultaneously been measured via a novel version of Pythagorean fuzzy SECA (Simultaneously Evaluation of Criteria and Alternatives). Then, the priority of each intervention for disruptive impacts of Industry 4.0 has been determined via the Hanlon method. This is one of the first papers to provide in-depth insights into advancing the study of the disruptive action of Industry 4.0 technologies cross-fertilizing CE throughout pharmaceutical SCs in the emerging economy of Iran. The results indicate that digital technologies such as Big Data Analytics, Global Positioning Systems, Enterprise Resource Planning, and Digital Platforms are quite available in the Irans' pharmaceutical industry. These technologies, along with four available interventions, e.g., environmental regulations, subsidy, fine, and reward, would facilitate moving towards a lean, agile, resilient, and sustainable supply chain through the efficient utilization of resources, optimized waste management, and substituting the human workforce by machines. |
Keywords | Industry 4.0 Technologies; Pythagorean Fuzzy Delphi; Pythagorean Fuzzy SECA; Hanlon Method |
Year | 2022 |
Journal | Computers & Industrial Engineering |
Journal citation | 174, pp. 1-18 |
Publisher | Elsevier |
ISSN | 0360-8352 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.cie.2022.108753 |
Web address (URL) | https://www.sciencedirect.com/journal/computers-and-industrial-engineering |
https://www.sciencedirect.com/science/article/pii/S0360835222007410 | |
Accepted author manuscript | License File Access Level Open |
Publisher's version | File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 19 Oct 2022 |
Publication process dates | |
Accepted | 2022 |
Deposited | 28 Oct 2022 |
https://repository.derby.ac.uk/item/9q485/investigating-potential-interventions-on-disruptive-impacts-of-industry-4-0-technologies-in-circular-supply-chains-evidence-from-smes-of-an-emerging-economy
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Accepted author manuscript
IDTCE CAIE 13.10.2022 HAM - All in one Clean (1).docx | ||
License: CC BY 4.0 | ||
File access level: Open |
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