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.
En este trabajo se propone un método integrado para la estimación de la competitividad de fabricación de las empresas utilizando su rendimiento comparativo en sus objetivos de fabricación. El método desarrollado utiliza un extenso análisis de la literatura, junto con un análisis de expertos a través del método Delphi para identificar los factores que influyen en la competitividad de la industria bajo estudio. Diferentes coeficientes estadísticos tales como el alfa de Cronbach, W de Kendall, kappa de Fleiss y la correlación intraclase se utilizan para asegurar la fiabilidad de los instrumentos y de la opinión de los expertos. El análisis exploratorio de factores (EFA por sus siglas en inglés) y un posterior análisis factorial confirmatorio (CFA por sus siglas en inglés) se utilizan como el medio para obtener el modelo de medición con el que se calcula un indicador de la competitividad de fabricación. Un caso de estudio empírico utilizando el método propuesto se lleva a cabo en una muestra de plantas maquiladora de ropa.
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