Handbook of Industrial Automation

Balancing enclyclopedic scope in with useful detail, this convenient reference supplies the most essential concepts and methods necessary to captialize on the innovations of industrial automation, including mathematical fundamentals, ergonomics, industrial robotics, government safety regulations, and economic analyses. Incorporating computer science applications to industrial, mechanical, and electrical engineering, the Handbook of Industrial Automation provides valuable insights and answers for both technical and managerial problems.
Written by over 50 industry and university experts from the United States, Canada, Germany, Hongkong, India, Japan, Spain, the United Kingdom, and New Zealand, the Handbook of Industrial Automation reviews algebraic, probabilistic, and related numerical methods.........clarifies the basics of automated control systems, digital signal processing, and sample-data system.....examines current and future manufacturing applications such as intelligent systems, linear and dynamic programming, and industrial robots.....investigates implementation of safety procedures....considers the dynamics of human interaction with automated tools......discusses financial forecasting and cost estimation technqiues....and more.

Preface
Contributors

Part 1 : Mathematics and Numerical Analysis
Chapter 1.1 : Some Probability Concepts for Engineers
Chapter 1.2 : Introduction to Sets and Relations
Chapter 1.3 : Linear Algebra
Chapter 1.4 : A Review of Calculus
Chapter 1.5 : Ordinary Differential Equations
Chapter 1.6 : Boolean Algebra
Chapter 1.7 : Algebraic Structures and Applications

Part 2 : Measurements and Computer Control
Chapter 2.1 : Measurement and Control Instrumentation Error-Modeled Performance
Chapter 2.2 : Fundamentals of Digital Motion Control
Chapter 2.3 : In-Process Measurement

Part 3 : Automatic Control
Chapter 3.1 : Distributed Control Systems
Chapter 3.2 : Stability
Chapter 3.3 : Digital Signal Processing
Chapter 3.4 : Sampled-Data Systems

Part 4 : Modeling and Operations Research
Chapter 4.1 : Regression
Chapter 4.2 : A Brief Introduction to Linear and Dynamic Programming
Chapter 4.3 : Simulation and Analysis of Manufacturing Systems
Chapter 4.4 : Petri Nets
Chapter 4.5 : Decision Analysis

Part 5 : Sensor Systems
Chapter 5.1 : Sensors : Touch, Force, and Torque
Chapter 5.2 : Machine Vision Fundamentals
Chapter 5.3 : Three-Dimensional Vision
Chapter 5.4 : Industrial Machine Vision

Part 6 : Manufacturing
Chapter 6.1 : The Future of Manufacturing
Chapter 6.2 : Manufacturing Systems
Chapter 6.3 : Intelligent Manufacturing in Industrial Automation
Chapter 6.4 : Measurements
Chapter 6.5 : Intelligent Industrial Robots
Chapter 6.6 : Industrial Materials Science and Engineering
Chapter 6.7 : Forming and Shaping Processes
Chapter 6.8 : Molding Processes

Part 7 : Material Handling and Storage
Chapter 7.1 : Material Handling and Storage Systems
Chapter 7.2 : Automated Storage and Retrieval Systems
Chapter 7.3 : Containerization
Chapter 7.4 : Robotic Palletizing of Fixed- and Variable-Size/Content Parcels

Part 8 : Safety, Risk Assessment, and Standards
Chapter 8.1 : Investigation Programs
Chapter 8.2 : Government Regulation and the Occupational Safety and Health Administration
Chapter 8.3 : Standards

Part 9 : Ergonomics
Chapter 9.1 : Perspectives on Designing Human Interfaces for Automated Systems
Chapter 9.2 : Workstation Design
Chapter 9.3 : Physical Strength Assessment in Ergonomics

Part 10. : Economic Analysis
Chapter 10.1 : Engineering Economy
Chapter 10.2 : Manufacturing-Cost Recovery Estimating Systems

Index