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Modeling lean manufacturing success

Morteza Ghobakhloo (Department of Industrial Engineering, Minab Higher Educational Center, University of Hormozgan, Bandar Abbas, Iran)
Masood Fathi (Department of Production and Automation Engineering, University of Skövde, Skövde, Sweden)
Dalila Benedita Machado Martins Fontes (Faculty of Economics, Universidade do Porto, Porto, Portugal)
Ng Tan Ching (Department of Mechanical and Material Engineering, Universiti Tunku Abdul Rahman - Kuala Lumpur Campus, Kuala Lumpur, Malaysia)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 28 September 2018

Issue publication date: 7 November 2018

1353

Abstract

Purpose

The purpose of this study is to contribute to the existing knowledge about the process of achieving Lean Manufacturing (LM) success.

Design/methodology/approach

This study uses interpretive structural modeling and captures the opinions of a group of LM experts from a world-class Japanese automobile manufacturer, to map the interrelationships among potential determinants of LM success. This study further uses the data from a survey of 122 leading automobile part manufacturers by performing structural equation modeling to empirically test the research model proposed.

Findings

Management support and commitment, financial resources availability, information technology competence for LM, human resources management, production process simplicity, supportive culture and supply chain-wide integration are the key determinants that directly or indirectly determine the level of achievement of LM success.

Research limitations/implications

The determinants of LM success as experienced by Asian automobile manufacturers might be different from determinants of LM success as experienced by Western automobile manufacturers. An interesting direction for future research would be to capture the experts’ inputs from Western automobile manufacturers to complement the findings of this study.

Practical implications

The practical contribution of this study lays in the development of linkages among various LM success determinants. Utility of the proposed interpretive structural modeling and structural equation modeling methodologies imposing order, direction and significance of the relationships among elements of LM success assumes considerable value to the decision-makers and LM practitioners.

Originality/value

Building on opinions of a group of LM experts and a case study of leading auto part manufacturers, the present study strives to model the success of LM, a topic that has received little attention to date.

Keywords

Citation

Ghobakhloo, M., Fathi, M., Fontes, D.B.M.M. and Tan Ching, N. (2018), "Modeling lean manufacturing success", Journal of Modelling in Management, Vol. 13 No. 4, pp. 908-931. https://doi.org/10.1108/JM2-03-2017-0025

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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