Lean manufacturing and operational performance

Author:

Hernandez-Matias Juan CarlosORCID,Ocampo Jared R.ORCID,Hidalgo Antonio,Vizan Antonio

Abstract

Purpose Lean manufacturing (LM) constitutes a consolidated alternative that has been successfully used to increase company effectiveness and performance. However, different studies have shown that many companies that attempt to integrate LM into their manufacturing operations fail in their efforts. Recent studies have shown that soft practices are a key factor for a successful LM implementation. The purpose of this paper is to analyze an in-depth review of the different human-related lean practices (HRLP) referenced in the recent literature and to identify which of them are more relevant to a successful LM implementation. Design/methodology/approach The findings presented in this paper are based on the results of a study about the situation of LM in Spain carried out with lean production managers and frontline supervisors of 202 Spanish companies with a high percent (74 percent) of international firms with factories in different countries. The implemented methodology uses factor analysis and structural equation modeling. Findings The results shows statistical evidence of the relationship between management’s HRLP (fostering a lean culture, providing support to lean), employees’ HRLP (employee involvement and employee empowerment) and operational performance (OP) (waste reduction and flexibility). Practical implications The results have academic and practical relevance for clarifying lean phenomena, helping managers to define a sequence in which a company should implement HRLP to successfully implement LM and increase its OP. Originality/value This study fills a research gap by exploring the existing causal relationships between a greater number of variables, both dependent and independent in relation to human factors in LM implementations.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Control and Systems Engineering,Software

Reference92 articles.

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