Quality Engineering Techniques An Innovative and Creative Process Model
In today's industrial and complex world, the progress of change is incredible. The amount of information which needs to be analyzed is very large and time has become more and more limited. Industries and firms of all sizes desire to increase productivity and sustainability to keep their competitive edge in the marketplace. One of the best tools for achieving this is the application of Quality Engineering Techniques (QET). This book will introduce the integrated model and the numerical applications for implementing it.
| Publisher Name | CRC Press |
|---|---|
| Author Name | Hagendorf, Col |
| Format | Audio |
| Bisac Subject Major | TEC |
| Language | NG |
| Isbn 10 | 0367903814 |
| Isbn 13 | 9780367903817 |
| Target Age Group | min:NA, max:NA |
| Dimensions | 00.92" H x 10.06" L x 14.00" W |
| Page Count | 120 |
Ramin Rostamkhani has a Master of Industrial Engineering. He has obtained his Master's degree from the Malek Ashtar University of Technology in Tehran, IRAN. He has worked in the Defense Industries Organization (DIO) in IRAN. He has more than 20 years of experience in Quality Engineering Techniques (QET). Moreover, he has a lot of experience in Quality Management Systems (QMS) and Integrated Management Systems (IMS). He has written at least four articles in Scopus and ISI journals. He has expertise and experience in Reliability, Productivity, Sustainability, Quality Control, Applied Statistics, Quality Assurance, Quality Engineering and Statistical and Non-statistical Techniques. Mahdi Karbasian has a Ph.D. in Industrial Engineering. He has obtained a Doctoral degree from Tarbiat Modares University of Tehran, IRAN. He is an associate professor in the faculty of Industrial Engineering at the Malek Ashtar University of Technology in Esfahan, IRAN. He is a manager of many quality projects in the Malek Ashtar University of Technology. He has written many articles in Scopus and ISI journals. He has expertise and experience in Process Safety, Failure Analysis, Applied Statistics, Reliability Analysis and Quality Engineering.
