This paper aims to propose a model to assess leagile strategy effectively as one of the most discussed production and supply chain strategies.
This research is based on an integrated FLinPreRa-FQFD approach, which ranks and determines the importance of criteria and indices of the proposed model in an effective way.
“Cost” has been taken as the most important competitive advantage in the four selected industries. “Customer and market sensitiveness” has been considered as the most important enabler in three industries (“machinery and equipment,” “textile” and “food and beverage”). “Collaborative relationship” has been also considered as the most important enabler in the “material and chemical products” industry to gain leagility.
On the one hand, the proposed research model can be used as a reference guide for firms to reach leagility. This model presents indices of leagility at different levels. On the other hand, with respect to the main activities of the Iran Chambers of Commerce, Industries, Mines and Agriculture, including Qazvin’s, committed to provide requirements for economic development, this work provides an opportunity for the implementation of leagility model in 151 active companies. It also gives new insights into the leagility application in the four industries and Qazvin’s Chamber of Commerce, Industries, Mines and Agriculture.
This research has two main contributions. First, it presents a model of enablers and attributes of leagility, combined with four competitive advantages. Second, the research study is equipped with an integrated and consistent methodology that, first, helps decision makers prioritize their goals and agenda by means of fewer paired comparisons without the need of consistency rate and, second, allows for direct evaluation of impact of enablers on attributes of leagility.
Moradi, M., Esfandiari, N. and Keshavarz Moghaddam, M. (2018), "An integrated FLinPreRa-FQFD approach to leagility assessment: (case study of four industries)", International Journal of Lean Six Sigma, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJLSS-07-2018-0076Download as .RIS
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