Integrated Discrete Production Control

Integrated Discrete-Production systems are a new concept which are proving vital in aiding integrated discrete production activities to achieve their optimum efficiency. This book has been written primarily to establish methods for solving analysis and synthesis problems which arise in the progressive integration of intelligent discrete-production controls in modern manufacturing, and to provide useful theories covering such integrated controls. Topics reviewed include industrial artificial-intelligence systems (IAIS), their range of possible applications, analyses of the problems they are designed to solve, and the methods by which they can be created. Various aspects of IAIS, which may be either completely automated systems (such as robots) or decision-aid systems (such as computer-aided design systems) are discussed. The many facets of creating a successful IAIS include knowledge of automation techniques, control theory, and skill in artificial-intelligence techniques, particularly the transformation of automatic-control or decision-aid processes into computational processes.
At present these skills are usually found in different people, this volume shows how the various skills can be combined to create a compact IAIS that answers current needs. The work is intended for engineers interested in the field whose background may be mechanical, industrial, electronic or control engineering, or computing. And secondly to teachers offering research level lectures, who can use the book to construct a course on Integrated Discrete-Production Control.
 
Integrated Discrete-Production systems are a new concept which are proving vital in aiding integrated discrete production activities to achieve their optimum efficiency. This book has been written primarily to establish methods for solving analysis and synthesis problems which arise in the progressive integration of intelligent discrete-production controls in modern manufacturing, and to provide useful theories covering such integrated controls. Topics reviewed include industrial artificial-intelligence systems (IAIS), their range of possible applications, analyses of the problems they are designed to solve, and the methods by which they can be created. Various aspects of IAIS, which may be either completely automated systems (such as robots) or decision-aid systems (such as computer-aided design systems) are discussed. The many facets of creating a successful IAIS include knowledge of automation techniques, control theory, and skill in artificial-intelligence techniques, particularly the transformation of automatic-control or decision-aid processes into computational processes.
At present these skills are usually found in different people, this volume shows how the various skills can be combined to create a compact IAIS that answers current needs. The work is intended for engineers interested in the field whose background may be mechanical, industrial, electronic or control engineering, or computing. And secondly to teachers offering research level lectures, who can use the book to construct a course on Integrated Discrete-Production Control.