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| Content Provider | Springer Nature Link |
|---|---|
| Author | García, Jorge L. Maldonado, Aidé A. Alvarado, Alejandro Rivera, Denisse G. |
| Copyright Year | 2013 |
| Abstract | This article presents the results of a survey with 13 main activities related to human factors that are executed during kaizen implementation process and were integrated in four independent latent variables (management commitment, education, communication and motivation) that are associated to 14 benefits obtained after its implementation that were grouped in three dependent latent variables (process, workers and customers). The survey was applied to persons with responsibilities in continuous improvement programs and projects in companies located in Mexico. Independent and dependent variables were integrated in a structural equation model that was evaluated using partial least squares algorithms WarpPLS® for finding causal relations among them. Results indicate that management commitment and education are the main factors that guarantee the success for kaizen implementation programs, but that is moderated by a good communication for having good operational process performance for better workers and customer satisfaction. |
| Starting Page | 2187 |
| Ending Page | 2198 |
| Page Count | 12 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 70 |
| Issue Number | 9-12 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2013-11-15 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Kaizen implementation Critical success factors PLS Human factors Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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