Indian SMEs are going to play pivotal role in transforming Indian economy and achieving
double digit growth rate in near future. Performance of Indian SMEs is vital in making
India as a most preferred manufacturing destination worldwide under India’s “Make in India
Policy”. Current research was based on Indian automotive SMEs. Indian automotive SMEs
must develop significant agile capability in order to remain competitive in highly uncertain
global environment. One of the objectives of the research was to find various enablers of
agility through literature survey. Thereafter questionnaire administered exploratory factor
analysis was performed to extract various factors of agility relevant in Indian automotive
SMEs environment. Multiple regression analysis was applied to assess the relative importance
of these extracted factors. “Responsiveness” was the most important factor followed by
“Ability to reconfigure”, “Ability to collaborate”, and “Competency”. Thereafter fuzzy logic
bases algorithm was applied to assess the current level of agility of Indian automotive SMEs.
It was found as “Slightly Agile”, which was the deviation from the targeted level of agility.
Fuzzy ranking methodology facilitated the identification & criticalities of various barriers
to agility, so that necessary measures can be taken to improve the current agility level of
Indian automotive SMEs. The current research may helpful in finding; key enablers of agility,
assessing the level of agility, and ranking of the various enablers of agility to point out the
weak zone of agility so that subsequent corrective action may be taken in any industrial
environment similar to India automotive SMEs.