A hybrid approach to examine the potential of additive manufacturing to cope with supply chain disruptions during COVID-19 pandemic

Rajat Latt and Rajiv Kumar Sharma

International Journal of Logistics Systems and Management, 2024, vol. 47, issue 1, 82-104

Abstract: The COVID-19 pandemic has created lots of uncertainties, one of which is dealing with the ripple effect (supply chain disruptions) across multiple industries (like automotive, healthcare, aerospace, etc.). This work proposes a hybrid approach for identifying various enablers across three supply chain decision-making phases (strategic, tactical and operational) that aid in the organisation's implementation of additive manufacturing. The work is divided into three phases: first, the variables are identified through a literature review; second, the questionnaire's validity and reliability are checked; and third, the variables are prioritised using fuzzy entropy and fuzzy technique of order preference by similarity to ideal solution (TOPSIS) methods, which convert linguistic values (obtained via questionnaire survey) to crisp values for the research variable dimensions. The outcomes of this discussion assist managers in making more informed and effective decisions about how to implement additive manufacturing in their organisation in order to minimise supply chain disruptions.

Keywords: additive manufacturing; supply chain disruptions; fuzzy entropy; fuzzy TOPSIS; strategic; tactical; operational. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=135893 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:47:y:2024:i:1:p:82-104

Access Statistics for this article

More articles in International Journal of Logistics Systems and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().