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

Authors: Fadoua Tamtam; Amina Tourabi

Addresses: Systems Engineering Laboratory and Decision Support, National School of Applied Sciences, Agadir, CO 80000, Morocco ' Systems Engineering Laboratory and Decision Support, National School of Applied Sciences, Agadir, CO 80000, Morocco

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.

DOI: 10.1504/IJISE.2023.133524

International Journal of Industrial and Systems Engineering, 2023 Vol.45 No.1, pp.29 - 39

Received: 28 Apr 2021
Accepted: 20 Nov 2021
Published online: 19 Sep 2023 *

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