Authors: Swagatika Mishra; Saurav Datta; Siba Sankar Mahapatra
Addresses: Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, India ' Department of Mechanical Engineering, National Institute of Technology, Rourkela-769008, India
Abstract: 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.
Keywords: agility metrics; fuzzy logic; agility appraisement index; India; fuzzy expert systems; agile manufacturing; automotive manufacturing; automobile industry.
International Journal of Logistics Systems and Management, 2013 Vol.14 No.3, pp.353 - 386
Published online: 11 Feb 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article