Performance analysis of agile manufacturing: a case study on an Indian auto component manufacturer

Pavan Kumar Potdar (Mechanical Engineering Department, Birla Institute of Technology and Science, Pilani, India)
Srikanta Routroy (Mechanical Engineering Department, Birla Institute of Technology and Science, Pilani, India)

Measuring Business Excellence

ISSN: 1368-3047

Publication date: 15 May 2017

Abstract

Purpose

The purpose of this paper is to develop a set of key performance indicators (KPIs) for agile manufacturing (AM) and to propose a methodology for its performance evaluation.

Design/methodology/approach

The proposed methodology was developed using fuzzy analytic hierarchy process (FAHP) and performance value analysis (PVA) to evaluate and analyze the AM performance. The FAHP is applied to determine the importance of KPIs, and PVA is used to evaluate AM performance.

Findings

The proposed methodology is applied to an Indian auto component manufacturer, and it is observed that there is an improvement of performance along the timeline.

Research limitations/implications

The proposed approach is generic in nature and can be applied to different agile business environments for performance evaluation.

Practical implications

This study provides insights into the AM performance evaluation. The managers can establish the impact of each significant area (SA) on AM and each KPI on its corresponding SA by capturing their manufacturing environments.

Originality/value

Although many issues related to AM have been widely researched, only a few studies have been carried out to quantify, analyze and evaluate the AM performance in the Indian manufacturing environment. The proposed model has the ability to capture the performance of AM along the KPIs to draw fruitful conclusions.

Keywords

Citation

Potdar, P.K. and Routroy, S. (2017), "Performance analysis of agile manufacturing: a case study on an Indian auto component manufacturer", Measuring Business Excellence, Vol. 21 No. 2, pp. 117-135. https://doi.org/10.1108/MBE-04-2016-0024

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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