Article ID: | iaor20131814 |
Volume: | 14 |
Issue: | 3 |
Start Page Number: | 353 |
End Page Number: | 386 |
Publication Date: | Feb 2013 |
Journal: | International Journal of Logistics Systems and Management |
Authors: | Datta Saurav, Mahapatra Siba Sankar, Mishra Swagatika |
Keywords: | India, logistics, fuzzy logic |
Agility metrics are difficult to define, mainly due to the multidimensionality and vagueness of the concept of agility. In this paper, a fuzzy logic, knowledge‐based framework has been presented for the assessment of an enterprise's agility; in an Indian perspective. The necessary expertise explored to quantitatively determine and evaluate overall agility degree has been represented via fuzzy expert systems. Apart from estimating overall agility appraisement index; the study has been extended to identify agile barriers (obstacles towards achieving agility). The proposed appraisement module has been implemented in an Indian enterprise as a case study. Data obtained thereof, has been critically analysed to reveal the current scenario of existing agile practices of the said enterprise and to seek for ill‐performing areas which need future improvement.