Designing supplier selection strategies under COVID-19 constraints for industrial environments

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F21%3A00542959" target="_blank" >RIV/67985556:_____/21:00542959 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.procir.2021.05.128" target="_blank" >http://dx.doi.org/10.1016/j.procir.2021.05.128</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procir.2021.05.128" target="_blank" >10.1016/j.procir.2021.05.128</a>

Result language

angličtina

Original language name

Designing supplier selection strategies under COVID-19 constraints for industrial environments

Original language description

COVID-19 has been impacting worldwide supply chains causing interruption, closure of production and distribution. This impact has been drastic on the supplier side and, as a consequence of disruptions, strong reductions of production have been estimated. Such a circumstance forces companies to propose innovative best practices of supply chain risk management aimed at facing vulnerability generated by COVID-19 and pursuing industrial improvements in manufacturing and production environments. As a part of supply chain strategy, supplier selection criteria should be revised to include pandemic-related risks. This article aims to propose an answer to such a problem. In detail, a comprehensive tool designed as a hybrid combination of multi-criteria decision-making (MCDM) methods is suggested to manage important stages connected to the production development cycle and to provide companies with a structured way to rank risks and easily select their suppliers. The main criteria of analysis will be first identified from the existent literature. Risks related to COVID-19 will be then analysed in order to elaborate a comprehensive list of potential risks in the field of interest. The Best Worst Method (BWM) will be first used to calculate criteria weights. The Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) will be then applied to rank and prioritize risks affecting suppliers. The effectiveness of the approach will be tested through a case study in the sector of automotive industry. The applicability of the designed MCDM framework can be extended also to other industrial sectors of interest.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20205 - Automation and control systems

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Procedia CIRP, Volume 100 (2021) : 31st CIRP Design Conference 2021 (CIRP Design 2021)

ISBN

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ISSN

2212-8271

e-ISSN

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Number of pages

6

Pages from-to

589-594

Publisher name

Elsevier

Place of publication

Amsterdam

Event location

Enschede

Event date

May 19, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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