Description

This book reports four structural equation models (SEM) for quantifying the relationship between the most important lean manufacturing (LM) practices applied to the manufacturing industry. The SEMs are evaluated using 220 responses to a survey applied to manufacturing companies applying LM principles in the production system and are related to: distribution and maintenance, production process and quality system, supply chain and quality, and an integrator model. The findings identify the most important activities for every LM practices and how they are related. These relationship’ values will help administrators, managers, engineers to focus their efforts on these most important activities, facilitating the decision-making process.

Best Practices in Lean Manufacturing: A Relational Analysis

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Paperback / softback by José Roberto Díaz-Reza , Jorge Luis García Alcaraz

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This book reports four structural equation models (SEM) for quantifying the relationship between the most important lean manufacturing (LM) practices... Read more

    Publisher: Springer Nature Switzerland AG
    Publication Date: 20/03/2022
    ISBN13: 9783030977511, 978-3030977511
    ISBN10: 303097751X

    Number of Pages: 117

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    This book reports four structural equation models (SEM) for quantifying the relationship between the most important lean manufacturing (LM) practices applied to the manufacturing industry. The SEMs are evaluated using 220 responses to a survey applied to manufacturing companies applying LM principles in the production system and are related to: distribution and maintenance, production process and quality system, supply chain and quality, and an integrator model. The findings identify the most important activities for every LM practices and how they are related. These relationship’ values will help administrators, managers, engineers to focus their efforts on these most important activities, facilitating the decision-making process.

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