I am please to announce the publication of my new book: Bagajewicz M. SMART PROCESS PLANTS: Software and Hardware for Accurate Data and Profitable Operations. (ISBN:978-0-07-160471) McGraw Hill (2010). The book has two superb chapters contributed by Don Chmielewski on the control perspective and three chapters co-authored by my former graduate student DuyQuang Nguyen. Chapters: 1. Smart Plants 2. Measurement Errors. 3. Variable Classification. 4. Linear Data Reconciliation. 5. Gross Error Detection. 6. Equivalencies of Gross Errors. 7. Gross Error Size Estimation 8. Nonlinear Data reconciliation 9. Dynamic Data Reconciliation 10. Accuracy 11. Value of Accuracy 12. Practical Issues in the implementation of data reconciliation. 13. Value of Control 14. Value of Fault detection 15. Instrumentation Design and Upgrade 16. Value of Instrumentation Upgrade-Control Perspective 17. Maintenance 18. Maintenance Optimization 19. Instrument Maintenance I reproduce the backcover summary: Smart plants have been defined as plants that anticipate to problems and disturbances and make corrective actions before these problems manifest. In addition, they are integrated with higher level decisions of the enterprise. Smart plants also need to operate in a profitable manner. That is, all departures from the desired operations need to be minimized. Thus, smart plants need good information for process monitoring, production accounting, product quality assurance, fault detection and identification, fault prevention and control. It is therefore straightforward to think that the information that one obtains from measurements in a plant needs to be accurate (precise and bias-free). In this book, detailed analysis of recent developments in data reconciliation, bias/gross error detection, as well as connection between accuracy and profit are presented. In addition, the detection of structural and parametric faults is presented. Modern techniques to organize maintenance are included. At the same time the design of control systems to achieve minimum variance and on-line optimization are presented. Finally, because all smart plants need to be better instrumented than current ones, techniques to upgrade the sensor network by addition and eventual relocation of instruments are covered. These techniques are based on the concept of economic value added. The book is written for practitioners that want to learn about all these new developments and techniques. Emphasis is put in including example and illustrations that are worked in a very detailed manner to facilitate understanding.