An integrated fuzzy QFD approach to leagile supply chain assessment during the COVID-19 crisis

Fadoua Tamtam and Amina Tourabi

International Journal of Industrial and Systems Engineering, 2023, vol. 45, issue 1, 29-39

Abstract: The COVID-19 crisis has severely disrupted Moroccan automotive production. This pandemic has weakened the automotive supply chain; it faced a fall in demand and reduction in sales. Consequently, the automotive industry developed their production capabilities through constant innovation in resource reduction (leanness) while responding rapidly to demand changes (agility). A combination of lean-agile supply chain leads to obtain competitiveness in a time and cost effective manner. Successful implementation of leagile supply chain requires evaluation of criteria and attributes. To this end, the purpose of this paper is to propose a leagility evaluation framework using fuzzy quality function deployment approach. As a result, 'order guidance' has been taken as the most important capability of automotive supply chain. 'E-fulfilment logistic' has been considered as the most important enabler to gain supply chain leagility.

Keywords: supply chain leagility; automotive industry; fuzzy quality function deployment; FQFD; leagile drivers; leagile capabilities; leagile enablers. (search for similar items in EconPapers)
Date: 2023
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