Readiness assessment of leagility supply chain based on fuzzy cognitive maps and interpretive structural modeling: a case study

Abstract

Purpose

The evaluation of readiness provides insight into the readiness of its individual components for successful accomplishment of tasks. This study aims to evaluate readiness in leagility of supply chains based on the design and analysis of fuzzy cognitive maps (FCM) and interpretive structural modeling (ISM).

Design/methodology/approach

On the basis of the purpose of this study, data are gathered via the Delphi method. Moreover, FCM and ISM are also used to evaluate readiness.

Findings

Findings initially demonstrate a categorization of factors influencing leagility into static and dynamic variables according to the degree of their influence derived from the resultant behavior of FCM and ISM. It is also found that evaluating readiness in leagility of supply chains with ISM and FCM was done with respect to the type and role of the study variables, which were determined within the minimum and maximum ranges of 20 to 100 per cent, respectively.

Originality/value

The evaluation of the readiness using the FCM and ISM is proved to be more efficient than other classical methods. Experimental results of the study contribute to improve readiness of leagility of supply chain as well as develop functional areas of business.

Citation

Kalantari, T. and Khoshalhan, F. (2018), "Readiness assessment of leagility supply chain based on fuzzy cognitive maps and interpretive structural modeling: a case study", Journal of Business & Industrial Marketing, Vol. 33 No. 4, pp. 442-456. https://doi.org/10.1108/JBIM-01-2017-0008