Impact Analysis of Total Productive Maintenance: Critical Success Factors and Benefits

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José Roberto Díaz-Reza Jorge Luis García-Alcaraz

Impact Analysis of Total Productive Maintenance

Critical Success Factors and Benefits

José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya

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English

Springer Nature Switzerland AG
12 October 2018

Engines & power transmission; Production engineering

This book present the state of the art in Total Productive Maintainance (TPM) and its benefits. The authors present a survey applied to 368 manufacturing industries in order to determine their level of execution of TPM. Then a series of causal models are presented. For each model, the authors present a measure of the dependency between the critical success factors and the benefits obtained, allowing industry managers to differentiate between essential and non-essential activities. The content also allows students and academics to obtain a theoretical and empirical basis on the importance of TPM as a lean manufacturing tool in the context of industry 4.0.

By: José Roberto Díaz-Reza, Jorge Luis García-Alcaraz, Valeria Martínez-Loya
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 1st ed. 2019
Dimensions: Height: 235mm, Width: 155mm,
Weight: 729g
ISBN: 9783030017248
ISBN 10: 3030017249
Pages: 346
Publication Date: 12 October 2018
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Part I. Background of TPM 1. History of TPM 2. Definition of TPM 3. TPM evolution 4. TPM success stories 5. TPM in numbers Part II. Critical success factors and benefits of TPM 6. Activities associated with the success of TPM 7. Benefits of TPM in industry Part III. Methodology 8. Research problem and objectives 9. Materials and methods Part IV. Validation of variables and descriptive analysis 10. Validation of variables 11. Descriptive analysis - Sample 12. Descriptive analysis – CFE 13. Descriptive analysis – Benefits Part V. Structural equation models 14. Structural equation models – Human factors 15. Structural equation models – Technical factors 16. Structural equation models – Methodological factors

José Roberto Diaz-Reza is a PhD student on Advanced Engineering Sciences at the Universidad Autónoma de Ciudad Juárez, Mexico. Professor Dr. Jorge Luis Garcia-Alcaraz is a National Researcher level 2 recognized by National Council of Science and Technology in Mexico, expert in lean manufacturing methodologies and advanced manufacturing technologies. He has 14 years of experience in manufacturing industry. Valeria Martínez-Loya is curently persuing her Master's degree in industrial engineering. Her research focuses on Industrial Engineering field and Lean Manufacturing methodologies, mostly focusing on logistics and quality areas.