Books in the Engineering Design and Automation series

Practical, up-to-date coverage for a new generation of engineering and management professionals. Lawrence S. Aft s Productivity, Measurement, and Improvement has long served as a seminal reference for students and professionals in industrial engineering, quality management, and other related fields.

Genetic algorithms are probabilistic search techniques based on the principles of biological evolution. As a biological organism evolves to more fully adapt to its environment, a genetic algorithm follows a path of analysis from which a design evolves, one that is optimal for the environmental constraints placed upon it.

The last few years have seen important advances in the use of genetic algorithms to address challenging optimization problems in industrial engineering.

A a comprehensive coverage of new developments in geometric dimensional tolerancing and statistical tolerancing, and to focus on the use of these techniques in a CAD/CAM/CMM environment. The authors explore and explain tolerancing from its history and fundamentals to state-of-the-art techniques.

This book explores the critical part of the concurrent engineering processes that engineers are most involved with-product development, manufacturing, and assembly. It thoroughly covers many aspects of integrated product and process development (IPPD) and discusses specific real world cases applying IPPD.