Ebook: Robust Quality: Powerful Integration of Data Science and Process Engineering
Author: Jugulum Rajesh
- Tags: Production engineering -- Data processing., Production engineering -- Technological innovations., COMPUTERS / Database Management / Data Mining., TECHNOLOGY & ENGINEERING / Quality Control.
- Series: Continuous Improvement Ser
- Year: 2018
- Publisher: Chapman and Hall/CRC
- City: Milton
- Language: English
- pdf
Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better Read more...
Abstract: Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies