This book introduces process control to engineers and technicians unfamiliar with control techniques, providing an understanding of how to actually apply control in a real industrial environment. It avoids analytical treatment of the numerous statistical process control techniques to concentrate on the practical problems involved. A practical approach is taken, making it relevant in virtually all manufacturing and process industries.
There is currently no information readily available to practising engineers or students that discusses the real problems and such material is long overdue.
An indispensable guide for all those involved in process control
Includes equipment specification, troubleshooting, system specification and design
Provided with guidelines of HOW TO and HOW NOT TO install process control

Owing to the development and rapid spread of communication technologies including the Internet, the world is indeed turning into a global village. The rate of introduction of new products and technologies is steadily rising. At the same time, pressures to reduce time-to-market are mounting. Only companies that are able to realize products rapidly are able to survive today.
From a technological viewpoint, rapid product realization involves rapid design, rapid prototyping, and rapid tooling. Fortunately, a class of technologies, also collectively called rapid prototyping (RP) technologies, has emerged in the last two decades or so to meet these requirements. Early technologies merely aimed to produce single part look-alikes. However, intense R&D efforts are taking place around the world to go beyond mere look alike' single part prototyping, into functional, multi-part assemblies.
RP technologies are different from other modern manufacturing technologies in many ways. In RP, material is usually added incrementally in a layered manner and, occasionally, subtracted. Some technologies depend upon layers of resin cured under the influence of one or more CNC controlled laser beams. Others use lasers to selectively sinter layers of powdered metal. There are also RP technologies that do not use lasers at all. Indeed, RP is turning out to be a potent arena for technological creativity.
This book provides an updated overview of RP technologies at a level of detail that university engineering students taking courses on RP as well R&D and operating professionals from industry interested in RP are likely to find attractive. While the emphasis is on laser-based technologies, other processesare also discussed. With respect to each important RP process, the part/assembly modeling techniques, the materials used, process itself, advantages and disadvantages, accuracy and finish issues as well as application potential are discussed.

Model-based fault detection and isolation requires a mathematical model of the system behaviour. Modelling is important and can be difficult because of the complexity of the monitored system and its control architecture. The authors use bond-graph modelling, a unified multi-energy domain modelling method, to build dynamic models of process engineering systems by composing hierarchically arranged sub-models of various commonly encountered process engineering devices. The structural and causal properties of bond-graph models are exploited for supervisory systems design.

The structural properties of a system, necessary for process control, are elegantly derived from bond-graph models by following the simple algorithms presented here. Additionally, structural analysis of the model augmented with available instrumentation indicates directly whether it is possible to detect and/or isolate faults in some specific sub-space of the process. Such analysis aids in the design and resource optimization of new supervision platforms.

Static and dynamic constraints, which link the time evolution of the known variables under normal operation, are evaluated in real time to determine faults in the system. Various decision or post-processing steps integral to the supervisory environment are discussed in this monograph; they are required to extract meaningful data from process state knowledge because of unavoidable process uncertainties. Process state knowledge has been further used to take active and passive fault accommodation measures.

Several applications to academic and small-scale-industrial processes are interwoven throughout. Finally, an application concerning development of asupervision platform for an industrial plant is presented with experimental validation.

Model-based Process Supervision provides control engineers and workers in industrial and academic research establishments interested in process engineering with a means to build up a practical and functional supervisory control environment and to use sophisticated models to get the best use out of their process data.

Low-volume high-variety products like personalized cars or customized engines will be the key issues for manufacturing in the 21st century. The necessary control technology is based on the concept of holons, which are the units of production and behave as autonomous and cooperative agents, providing flexibility, adaptability, agility, and dynamic reconfigurability. This book presents the latest research results in agent-based manufacturing as carried out by researchers in academia and industry within the international "Holonic Manufacturing Systems" project. As this project was driven by industry, the results presented here are of vital interest not just to researchers in agent technologies or distributed artificial intelligence, but also to engineers and professionals in industry who have to respond to rapid changes and new demands in production.

In recent years the situation of production enterprises has been aggravated by the change from a vendors' market to a buyers' market, the globaHsation of competition, a severe market segmentation and rapid progress in product and process technologies. Beside cost and quality, time has taken on an increasingly important role, forcing enterprises to become ever more dynamic and versatile. Therefore, in all areas of production management, novel, effective concepts, procedures and tools have been developed in order to meet these new requirements. But beyond these more technical, organisational and information technology related aspects there is certainly another one which has to be considered more closely than ever before, namely that of human resources. Is not group technology also related to group work? Do partners in a global network only operate according to predefined process schemes with no personal contact? Are the mental process models of the programmers of ERP-systems the same as those of the users? What is the impact of human behaviour and what consequences are to be expected if organisational and individual objectives are separated? And finally, how do necessary technological changes affect the workforce and the individual needs and wishes of the employees.

The focus of this ninth volume is on human/technology issues that arise from the design, development, application, operation, evaluation, and maintenance of advanced systems with regard to training in complex environments. Areas covered include: a user-oriented design analysis of a virtual environment training system, a cognitive task analysis technique for virtual environment training, advanced embedded team training, human centered automation for air traffic control, human performance modelling in system design, and scenario-based training.

Computer Aided Innovation (CAI) is a young domain, the goal of which is to support enterprises throughout the complete innovation process. This comprehensive book presents the most up-to-date research on CAI. It addresses the main motivations of the industrial sector regarding the engineering innovation activity with computer tools and methods. The book also discusses organizational, technological and cognitive aspects of the application of CAI methods and tools.

In todaya (TM)s competitive world, industries are focusing on shorter lead times, improved quality, reduced cost, increased profit, improved productivity and better customer service. As ERP and other information management systems have been widely implemented, information growth poses new challenges to decision makers in areas ranging from shop floor control to supply chain management and design.

Frontiers in Computing Technologies for Manufacturing Applications presents an overview of the state-of-the-art intelligent computing in manufacturing. Modelling, data processing, algorithms and computational analysis of difficult problems found in advanced manufacturing are discussed. It is the first book to bring together combinatorial optimization, information systems and fault diagnosis and monitoring in a consistent manner. Techniques are presented in order to aid decision makers needing to consider multiple, conflicting objectives in their decision processes. In particular, the use of metaheuristic optimization techniques for multi-objective problems is discussed. Readers will learn about computational technologies that can improve the performance of manufacturing systems ranging from manufacturing equipment to supply chains.

Frontiers in Computing Technologies for Manufacturing Applications will be of interest to students in industrial and mechanical engineering as well as information engineers needing practical examples for the successful integration of information in manufacturing applications. The book will also appeal to technical decision makers involved in production planning, logistics, supply chain, industrial ecology, manufacturing information systems, faultdiagnosis and monitoring.

This book deals with Web applications in product design and manufacture, thus filling an information gap in digital manufacturing in the Internet era. It helps both developers and users to appreciate the potentials, as well as difficulties, in developing and adopting Web applications. The objective is to equip potential users and practitioners of Web applications with a better appreciation of the technology. In addition, Web application developers and new researchers in this field will gain a clearer understanding of the selection of system architecture and design, development and implementation techniques, and deployment strategies. The book is divided into two main parts. The first part gives an overview of Web and Internet and the second explains eight typical Web applications.

This book contains a collection of contributions related to the design and control of material flow systems in manufacturing. Material flow systems in manufacturing covers a broad spectrum of topics directly affecting issues related to facilities design, material handling and production planning and control. In selecting the papers to include in this book, the scope was limited to the design and operational control aspects related to the physical move ment of parts, tools, containers and material handling devices. Recent develop ments in this area naturally led to concentration on flow systems involving cellular manufacturing, and automated transport equipment such as automated guided vehicles. However, the concepts discussed have general applicability to a wide range of manufacturing flow problems. The book is organized in five major sections: 1. design integration and justification; 2. cell design and material handling considerations; 3. alternative material flow paths; 4. operational control problems; and 5. tooling requirements and transport equipment."

This book gives an overview of the works performed by the Computer and Automation Institute of the Hungarian Academy of Sciences. Since the late 1970s, there was a need for the recognition of the fundamental role of adequate abstractions and higher level conceptual models in all fields of computer applications. The approach presented explores various conceptual descriptive methods of specification processing.

This text explores the use of computer-aided design (CAD) techniques in the solution of mechanical engineering problems. The numerous applications presented, provide the basis for a broad theory covering the creation and application of CAD systems in practice. This work has led to the generation of a more general approach to design theory. The second edition contains two new chapters covering the research and application of constraint modelling theory that arose directly from the work presented in the first edition. The book's general approach covers all aspects of mechanical design ranging from the design and control of assemblies to the remote operation of coordinate measuring machines via a CAD system.

The Background to the Institute The NATO Advanced Study Institute (ASI) 'People and Computers - Applying an Anthropocentric Approach to Integrated Production Systems and Organisations' came about after the distribution of a NATO fact sheet to BruneI University, which described the funding of ASls. The 'embryonic' director of the ASI brought this opportunity to the attention of the group of people, (some at BruneI and some from outside), who were together responsible for the teaching and management of the course in Computer Integrated Manufacturing (CIM) in BruneI's Department of Manufacturing and Engineering Systems. This course had been conceived in 1986 and was envisaged as a vehicle for teaching manufacturing engineering students the technology of information integration through project work. While the original idea of the course had also included the organisational aspects of CIM, the human factors questions were not considered. This shortcoming was recognised and the trial run of the course in 1988 contained some lectures on 'people' issues. The course team were therefore well prepared and keen to explore the People, Organisation and Technology (POT) aspects of computer integration, as applied to industrial production. A context was proposed which would allow the inclusion of people from many different backgrounds and which would open up time and space for reflection. The proposal to organise a NATO ASI was therefore welcomed by all concerned.

One of the great challenges in flexible production and supply chains is the availability of necessary information at any time and place. Autonomous logistics processes can bring about fast and flexible adaptations to change. This book identifies autonomous logistics processes and details how they differ from conventionally managed processes. Coverage also describes the changes that autonomy will cause in order processing.

The application of intelligent imaging techniques to industrial vision problems is an evolving aspect of current machine vision research. Machine vision is a relatively new technology, more concerned with systems engineering than with computer science, and with much to offer the manufacturing industry in terms of improving efficiency, safety and product quality. Beginning with an introductory chapter on the basic concepts, the authors develop these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems. Sections cover the application of AI languages such as Prolog, the use of multi-media interfaces and multi-processor systems, external device control, and colour recognition. The text concludes with a discussion of several case studies that illustrate how intelligent machine vision techniques can be used in industrial applications.

This volume reviews the latest global research results in computer applications. The book contains a selection of papers presented at the Fifth International Conference on Computer Applications in Production and Engineering, arranged by the International Federation for Information Processing and held in Beijing, China in May 1995.

With increasingly complex manufacturing systems and processes, more intelligent and unique devices and machines are needed to support manufacturing operations. Smart Devices and Machines for Advanced Manufacturing presents a focused collection of quality chapters on the state of the art of research efforts in the area of smart devices and novel machine design, as well as their practical applications to enable advanced manufacturing. The book can be viewed as consisting of two major sections, with the first section presenting a broad-based review of several key areas of research in smart devices and machines, whereas the second section is focused on presenting an in-depth treatment of a particular device or machine, from parallel kinematic mechanism to conventional robotic attachment. Smart Devices and Machines for Advanced Manufacturing will be of interest to a broad readership, from manufacturing and industrial engineers to researchers and postgraduates in computer-integrated manufacturing and computer-aided design and manufacturing.

Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling equations modeling in the literature as flowshops, job shops and open shops. The methodology is metaheuristic, one inspired by how nature has evolved a multitude of coexisting species of living beings on earth. Multiobjective flowshops, job shops and open shops are each highly relevant models in manufacturing, classroom scheduling or automotive assembly, yet for want of sound methods they have remained almost untouched to date. This text shows how methods such as Elitist Nondominated Sorting Genetic Algorithm (ENGA) can find a bevy of Pareto optimal solutions for them. Also it accents the value of hybridizing Gas with both solution-generating and solution-improvement methods. It envisions fundamental research into such methods, greatly strengthening the growing reach of metaheuristic methods. This book is therefore intended for students of industrial engineering, operations research, operations management and computer science, as well as practitioners. It may also assist in the development of efficient shop management software tools for schedulers and production planners who face multiple planning and operating objectives as a matter of course.

This volume contains case studies, theoretical papers and project development reports on one of the greatest challenges facing the new digital enterprises: the life cycle approach to management and production. Main issues discussed in the book include CAD/CAM/CIM/CAE, intelligent manufacturing, and control and robotics applications.

Intelligent Manufacturing is a new disciplinary field which applies computer science, artificial intelligence, mechanical engineering and systems science to industrial manufacturing processes. This book presents a new integration architecture for implementing real-time distributed intelligent manufacturing systems.

At first glance, a book on "Design by Composition for Rapid Prototyping" may seem out of place in a series on Robotics. However, this work has a couple of strong connections to the field of robotics and the robotics community, and I am delighted to introduce it to the series. The first connection is the motivation behind Binnard's work. Michael Binnard came to Stanford after having done his Masters thesis at the M.LT. Artificial Intelligence Lab, where he designed and built small walking robots, such as Boadicea (http: //www.ai.mit.eduJprojects/boadicea/).At M.LT. he observed first-hand how difficult it is to align, connect and support standard actuators, sensors, and processors in small mobile robots. Figure lea) below shows how complicated it is just to connect a simple motor to one link of a robot leg using conventional methods. Surely there had to be a better way Shape deposition manufacturing, an emerging rapid prototyping process, offered a possible solution. Actuators, sensors, processors and other components could be embedded directly into almost arbitrary three-dimensional shapes, without any of the fasteners and couplings that complicate the design in Figure lea). The process makes it possible to construct integrated robotic mechanisms, such as the example shown in Figure 1 (b) and the additional examples found in Chapters 7 and 8 of this monograph.

Design and manufacturing is the essential element in any product development lifecycle. Industry vendors and users have been seeking a common language to be used for the entire product development lifecycle that can describe design, manufacturing and other data pertaining to the product. Many solutions were proposed, the most successful being the Stadndard for Exchange of Product model (STEP). STEP provides a mechanism that is capable of describing product data, independent from any particular system. The nature of this description makes it suitable not only for neutral file exchange, but also as a basis for implementing, sharing and archiving product databases. ISO 10303-AP203 is the first and perhaps the most successful AP developed to exchange design data between different CAD systems. Going from geometric data (as in AP203) to features (as in AP224) represents an important step towards having the right type of data in a STEP-based CAD/CAM system. Of particular significance is the publication of STEP-NC, as an extension of STEP to NC, utilising feature-based concepts for CNC machining purposes. The aim of this book is to provide a snapshot of the recent research outcomes and implementation cases in the field of design and manufacturing where STEP is used as the primary data representation protocol. The 20 chapters are contributed by authors from most of the top research teams in the world. These research teams are based in national research institutes, industries as well as universities.

A comprehensive guide to a powerful new analytical tool by two of its foremost innovators

The past decade has witnessed many exciting advances in the use of genetic algorithms (GAs) to solve optimization problems in everything from product design to scheduling and client/server networking. Aided by GAs, analysts and designers now routinely evolve solutions to complex combinatorial and multiobjective optimization problems with an ease and rapidity unthinkable withconventional methods. Despite the continued growth and refinement of this powerful analytical tool, there continues to be a lack of up-to-date guides to contemporary GA optimization principles and practices. Written by two of the world's leading experts in the field, this book fills that gap in the literature.

Taking an intuitive approach, Mitsuo Gen and Runwei Cheng employ numerous illustrations and real-world examples to help readers gain a thorough understanding of basic GA concepts-including encoding, adaptation, and genetic optimizations-and to show how GAs can be used to solve an array of constrained, combinatorial, multiobjective, and fuzzy optimization problems. Focusing on problems commonly encountered in industry-especially in manufacturing-Professors Gen and Cheng provide in-depth coverage of advanced GA techniques for:
* Reliability design
* Manufacturing cell design
* Scheduling
* Advanced transportation problems
* Network design and routing

Genetic Algorithms and Engineering Optimization is an indispensable working resource for industrial engineers and designers, as well as systems analysts, operations researchers, and management scientists working in manufacturing and related industries. It also makes an excellent primary or supplementary text for advanced courses in industrial engineering, management science, operations research, computer science, and artificial intelligence.

Software has become a decisive cost and time factor in regard to developing and establishing manufacturing systems and setting them into operation. In addition, software determines the availability, reliability as well as functionality of manufacturing units. Software Engineering for Manufacturing Systems considers the methods and procedures required to deal with problems in the software engineering of control technology for manufacturing systems. Significantly, the following topics are addressed: * definitions and requirements of software for control technology * system design, describing forms of control software * CASE tools for the generation of a code * configuration, adaption of standard software variants, and re-usability of software * and man-machine interface. It contains the selected proceedings of the International Conference on Software Engineering and Case Tools for Control Technology of Manufacturing Systems, sponsored by the IFIP and held in Germany, in March 1996.

Process planning determines how a product is to be manufactured and is therefore a key element in the manufacturing process. It plays a major part in determining the cost of components and affects all factory activities, company competitiveness, production planning, production efficiency and product quality. It is a crucial link between design and manufacturing. There are several levels of process planning activities. Early in product engineering and development, process planning is responsible for determining the general method of production. The selected general method of production affects the design constraints. In the last stages of design, the designer has to consider ease of manufacturing in order for it to be economic. The part design data is transferred from engineering to manufacturing and process planners develop the detailed work package for manufacturing a part. Dimensions and tolerances are determined for each stage of processing of the workpiece. Process planning determines the sequence of operations and utilization of machine tools. Cutting tools, fixtures, gauges and other accessory tooling are also specified. Feeds, speeds and other parameters of the metal cutting and forming processes are determined.