Modeling lean manufacturing success

• Published in: Journal of modelling in management Vol. 13; no. 4; pp. 908 - 931
• Main Authors: Ghobakhloo, Morteza, Fathi, Masood, Fontes, Dalila Benedita Machado Martins, Tan Ching, Ng
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 07.11.2018; Emerald Group Publishing Limited
• Subjects: Human resource management; Lean manufacturing; Leanness; Manufacturers; Manufacturing; Operational excellence; Preventive maintenance; Product development; Production and Automation Engineering; Produktion och automatiseringsteknik; Quality management; Return on assets; Structural equation modeling; Success; Suppliers; Toyota production system; Waste reduction; Waste reduction; Toyota production system; Operational excellence; Leanness; Lean manufacturing; Success
• ISSN: 1746-5664; 1746-5672; 1746-5672
• DOI: 10.1108/JM2-03-2017-0025

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.