This volume is about automation - automation in design, automation in manufacturing, and automation in production. Automation is essen tial for increased productivity of quality products at reduced costs. That even partial or piecemeal automation of a production facility can deliver dramatic improvements in productivity has been amply demon strated in many a real-life situation. Hence, currently, great ef forts are being devoted to research and development of general as well special methodologies of and tools for automation. This volume re ports on some of these methodologies and tools. In general terms, methodologies for automation can be divided into two groups. There are situations where a process, whether open-loop or closed-loop, is fairly clearly understood. In such a situation, it is possible to create a mathematical model and to prescribe a mathe matical procedure to optimize the output. If such mathematical models and procedures are computationally tractable, we call the correspond ing automation - algorithmic or parametric programming. There is, however, a second set of situations which include process es that are not well understood and the available mathematical models are only approximate and discrete. While there are others for which mathematical procedures are so complex and disjoint that they are computationally intractable. These are the situations for which heuristics are quite suitable for automation. We choose to call such automation, knowledge-based automation or heuristic programming.

This volume is about automation - automation in design, automation in manufacturing, and automation in production. Automation is essen tial for increased productivity of quality products at reduced costs. That even partial or piecemeal automation of a production facility can deliver dramatic improvements in productivity has been amply demon strated in many a real-life situation. Hence, currently, great ef forts are being devoted to research and development of general as well special methodologies of and tools for automation. This volume re ports on some of these methodologies and tools. In general terms, methodologies for automation can be divided into two groups. There are situations where a process, whether open-loop or closed-loop, is fairly clearly understood. In such a situation, it is possible to create a mathematical model and to prescribe a mathe matical procedure to optimize the output. If such mathematical models and procedures are computationally tractable, we call the correspond ing automation - algorithmic or parametric programming. There is, however, a second set of situations which include process es that are not well understood and the available mathematical models are only approximate and discrete. While there are others for which mathematical procedures are so complex and disjoint that they are computationally intractable. These are the situations for which heuristics are quite suitable for automation. We choose to call such automation, knowledge-based automation or heuristic programming.

This volume is based on the proceedings of the 28th International Conference on CAD/CAM, Robotics and Factories of the Future. This book specially focuses on the positive changes made in the field of robotics, CAD/CAM and future outlook for emerging manufacturing units. Some of the important topics discussed in the conference are product development and sustainability, modeling and simulation, automation, robotics and handling systems, supply chain management and logistics, advanced manufacturing processes, human aspects in engineering activities, emerging scenarios in engineering education and training. The contents of this set of proceedings will prove useful to both researchers and practitioners.

According to the Concurrent Engineering Research Center (CERC) at West Virginia University, "the concurrent engineering (CE) is a rapid simultaneous approach where research and development, design, manufacturing and support are carried out in parallel". The mission of concurrent engineering is to reduce time to market, improve total quality and lower cost for products or systems developed and supported by large organizations. The purpose of the concurrent design methodology is to let the designer know the consequences of his design decisions in the manufacturing and assembly stages as well as in subsequent operations. Design for manufacture and assembly, design for reliability and testability, CAD/CAM/CAE, knowledge based systems, cost analysis and advanced material technology are the major constituents of concurrent engineering. The need for concurrent engineering can be justified from the fact that in every production cycle, the design phase approximately takes 5 to 10% of the total cycle, but overall it influences 80% of the production cycle. This volume contains articles from a wide spectrum dealing with concepts of concurrent engineering. The importance of the knowledge-based systems in the CE environment is significant as they provide the common platform to achieve the same level of expertise to the designers and manufacturers throughout the organization for the specific task. Their role in "do it right the first time" is very important in providing aid to the designers and manufacturers to optimize the design and manufacturing setups for a cost effectiveness and reduced production time.

Presents state-of-the-art research and case studies from over 150 Design & Manufacturing professionals across the globe in the areas of CAD/CAM; Product Design; Rapid Prototyping and Tooling; Manufacturing Processes; Micromachining and Miniaturisation; Mechanism and Robotics; Artificial Intelligence; and Material Handling Systems.

Productivity enhancement is a major concern for all manufacturing enterprises. Productivity enhancement can be achieved in many ways and many facets of its problems have been investigated over the last decades. A number of methods, tools and technologies have emerged to efficiently increase productivity and rationalize management of manufacturing enterprises. International experts from both academia and industry share their experiences in this collection of articles, contributing to the latest advances in the many facets of productivity enhancement in manufacturing enterprises. Themes and visions are detailed on factories of the future, new management approaches, manufacturing system integration and manufacturing information systems. These technical areas can be grouped into four major sections: Factories of the future; Techniques and tools for automated manufacturing; Robotics; and Industrial applications. The papers illustrate a pattern of valuable and interesting approaches to the fascinating problem of designing a new generation of robots with high enough performance capabilities to be used in an industrial context.

The total integration of the process of designing, manufacturing, and supporting a product from the earliest conceptual phase to the time it is removed from service remains an unfulfilled dream. Yet, when we look at the enormity of the process of integration even for the most simply conceived and manufactured items, we can recognize that substantial progress has been and is being made. It is our nature to be dissatisfied with near term progress, but when we realize how short a time the tools to do that integration have been available, the progress is clearly noteworthy - considering the multitudes of subjects we have to deal with. Most of the integration problems we confront today are multidisciplinary in nature. They require not only the knowledge and experience in a variety of fields but also good cooperation from different disciplined organizations to adequately comprehend and solve such problems. In Volume I we have many examples that reflect the current state of the art in integration of engineer ing and production processes. The papers for Volume I have been arranged in a more or less logical order of conceptual. design, computer-based modeling, analysis, production, and manufacturing. Chapter I is devoted to those with a design and geometrie modeling emphasis; Chapter II is devoted to an engineering analysis emphasis; and Chapter III to a production/manufacturing emphasis.