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Assessment of Lean Six Sigma Readiness (LESIRE) for manufacturing industries using fuzzy logic

Raja Sreedharan V. (Department of Management, Amrita Vishwa Vidyapeetham – Kochi Campus, Kochi, India)
R. Raju (Department of Industrial Engineering, Anna University, Chennai, India)
Vijaya Sunder M. (Department of Management Studies, Indian Institute of Technology Madras, Chennai, India) (Business Process Excellence, The World Bank, Chennai, India)
Jiju Antony (School of Management and Languages, Heriot-Watt University, Edinburgh, UK)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 23 January 2019

Issue publication date: 21 February 2019

1394

Abstract

Purpose

Many organizations have reported significant benefits after the implementation of Lean Six Sigma (LSS). Embracing LSS requires asking some important questions: How Lean Six Sigma Readiness (LESIRE) can be measured? How can an organization identify the barriers for LESIRE? Answers to these questions are critical to both academicians and practitioners. The paper aims to discuss this issue.

Design/methodology/approach

This study illustrates the development process of a Lean Six Sigma Readiness (LESIRE) evaluation model to assess an organization’s readiness for LSS deployment using the fuzzy approach. The model was developed from 4 enablers, 16 criteria and 46 attributes of LSS, identified through a literature review.

Findings

To demonstrate the efficiency of the model, this study testing the LESIRE evaluation model in three Indian SMEs. Using experts’ ratings and weight, the researchers calculated the Fuzzy Lean Six Sigma index (FLSS) which indicates the LESIRE level of an organization and the Fuzzy Performance Importance Index (FPII) that helps to identify the barriers for LESIRE.

Research limitations/implications

The main limitations of this study are that it did not consider the failure factors of LSS for model development and the LESIRE was only tested in manufacturing industries. Thus, future researchers could focus on developing a model with failure factors. The results obtained from the SMEs show that LESIRE is capable of assessing LESIRE in an industrial scenario and helps practitioners to measure LESIRE for the future decision making process.

Practical implications

The LESIRE model is easy to understand and use without much computation complexity. This simplicity makes the LESIRE evaluation model unique from other LSS models. Further, LESIRE was tested in three different SMEs, and it aided them to identify and improve their weak areas, thereby readying them for LSS deployment.

Originality/value

The main contribution of this study it proposes a LESIRE model that evaluates the organization for FLSS and FPII for LESIRE, which is essential for the organization embarking on an LSS journey. Further, it improves the readiness of the organization that is already practicing LSS.

Keywords

Citation

Sreedharan V., R., Raju, R., Sunder M., V. and Antony, J. (2019), "Assessment of Lean Six Sigma Readiness (LESIRE) for manufacturing industries using fuzzy logic", International Journal of Quality & Reliability Management, Vol. 36 No. 2, pp. 137-161. https://doi.org/10.1108/IJQRM-09-2017-0181

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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