Kaizen Planning, Implementing and Controlling

ISBN-13: 9783319477466 / Angielski / Twarda / 2016 / 314 str.

Midiala Opopesa Vento; Jorge Luis Garcia-Alcaraz; Aide Aracely Maldonado Macias

Opis

This book reports a literature review on kaizen, its industrial applications, critical success factors, benefits gained, journals that publish about it, main authors (research groups) and universities. Kaizen is treated in this book in three stages: planning, implementation and control. The authors provide a questionnaire designed with activities in every stage, highlighting the benefits gained in each stage. The study has been applied to more than 400 managers and leaders in continuous improvement in Mexican maquiladoras. A univariate analysis is provided to the activities in every stage. Moreover, structural equation models associating those activities with the benefits gained are presented for a statistical validation. Such a relationship between activities and benefits helps managers to identify the most important factor affecting their benefits and financial income.

Recenzje

"This book not only shows you how to practically implement and control kaizen success but can be used as a helpful manual for teaching others the core values and results of kaizen methodology." (Samantha Braithwaite, Inside Business Magazine, Vol. 37 (21), April, 2019)

Spis treści

Section One: Concepts

 

1. Kaizen concepts

1.1 Kaizen concept

1.2 Lean manufacturing and kaizen

1.3 Kaizen evolution

1.4 Successful implementation cases reported

1.5 Traditional implementation process for kaizen

1.6 Book objective and delimitation

1.7 Chapter conclusions

References 

 

2. Kaizen: Literature review

   2.1 Critical success factors for kaizen

   2.2 Authors and research groups in kaizen

   2.3 Universities and departments studying kaizen

   2.4 Journals reporting kaizen studies

   2.5 Chapter conclusions

   References

 

3. Kaizen adoption

3.1 Activities associated to kaizen planning process

3.2 Activities associated to kaizen implementation process

3.3 Activities associated to kaizen control

3.4 Benefits gained from kaizen

   3.5  Chapter conclusions

   References

 

Section Two: Methodology research

 4. Materials and methods

   4.1 Data collection

   4.2 Data screening

   4.3 Descriptive analysis

   4.4 Factor analysis

   4.5 Structural equation models

   References

 

Section Three: Univariate analysis

 

5. Planning kaizen

5.1 Descriptive analysis for activities associated to planning

5.2 Tendencies

   5.3 Chapter conclusions

References

 

6. Kaizen implementation

6.1 Descriptive analysis for activities associated to implementation

6.2 Tendencies

   6.3 Chapter conclusions

References

 

7. Controlling kaizen

   7.1 Descriptive analysis for activities associated to control

   7.2 Tendencies

   7.3 Chapter conclusions

References

 

8. Benefits from kaizen

   8.1 Descriptive analysis for benefits gained from kaizen

   8.2 Tendencies

   8.3 Chapter conclusions

References

 

Section Four: Multivariate analysis

 

9. Factor analysis

   9.1 Factor analysis for activities associated to kaizen

   9.2 Factor analysis for benefits gained from kaizen

   9.3 Chapter conclusions

   References

 

10. Model: planning kaizen activities – benefits

   10.1 Model and hypotheses

   10.2 Model evaluation

   10.3 Model interpretation 

   10.4 Chapter conclusions

   References

 

11. Model: implementing kaizen activities – benefits

   11.1 Model and hypotheses

   11.2 Model evaluation

   11.3 Model interpretation 

   11.4 Chapter conclusions

   References

 

12. Model: Controlling kaizen activities – benefits

12.1 Model and hypotheses

   12.2 Model evaluation

   12.3 Model interpretation 

   12.4 Chapter conclusions

   References

O autorze

Jorge Luis Garcia Alcaraz is a full time researcher of the Department of Industrial Engineering at the Autonomous University of Ciudad Juarez. His main research areas are related to Multi criteria decision making applied to manufacturing, production process modeling and statistical inference. He is founding member of the Mexican Society of Operation Research and active member in the Mexican Academy of Industrial Engineering.

Midiala Oropesa Vento is a researcher recognized by the National Council of Science and Technology of Mexico (CONACYT), member of the Mexican Society of Operations Research. Her main research areas are related to total quality management, continuous improvement, decision making and modeling applied to production processes. 

Aide Aracely Maldonado Macias has a Ph.D. in Sciences in Industrial Engineering from the Technological Institute of Ciudad Juárez and is a full-time Professor-Investigator at the Autonomous University of Ciudad Juárez (UACJ).