Concurrent Engineering: Automation, Tools, and Techniques illustrates how to design products, components or systems, across a range of industries, while taking into account such constraints as the ability to manufacture, reliability requirements, quality, cost and customer needs. In long-awaited, much-needed contrast to other books, which focus on a single aspect, such as managing the design process or product reliability, Concurrent Engineering covers all the aspects of the field. This comprehensive analysis includes in-depth treatment of how the consequences of various technical solutions are assessed in all life-cycle phases of a product; automatic idealization control for analysis performed during concurrent engineering design; an intelligent interactive CAD system which has a mechanism for real-time constraint checking in the design process; conceptual design with physical features and an aspect model integration using a metamodel; automated assembly planning, an important integrative issue in concurrent engineering; the three stages of the design process: system design, parameter design and tolerance design and the methodology for simplification of the design process. In the final chapter, the preliminary design of a light utility helicopter is presented as a case study of how concurrent design can be accomplished by applying ten general characteristics of a concurrent engineering process. Figures, photographs, charts and tables are generously provided throughout to clarify the text and an extensive bibliography is provided for extended study.

Designing Innovations in Industrial Logistics Modelling describes practical methods for approaching the task of designing industrial logistics systems. It surveys the development of logistics models and their application in manufacturing to designing, planning, and implementing the movement of supplies, equipment, and products. This text/reference book discusses the combination of operation and production research to obtain solutions for designing and integrating advanced logistics systems. It provides the reader with a set of prescriptive and descriptive models and methods that have been developed exclusively for the purpose of designing, managing, and optimizing the architecture of such advanced systems. The design and application of new tools and methods is presented in such a way that emphasizes the competitiveness of manufacturing industries, and case studies are presented in a manner that demonstrates successful models and methods in advanced industrial logistics systems. In addition, Designing Innovations in Industrial Logistics Modelling explains the various formal tools and methodologies employed in evaluating new programs and covers program management and dynamic evaluation techniques.

Take the next step in Integrated Product and Process Development
This pioneering book is the first to apply state-of-the-art computational intelligence techniques to all phases of manufacturing system design and operations. It equips engineers with a superior array of new tools for optimizing their work in Integrated Product and Process Development.
Drawing on his extensive experience in the field of advanced manufacturing, Andrew Kusiak has masterfully embedded coverage of data mining, expert systems, neural networks, autonomous reasoning techniques, and other computational methods in chapters that cover all key facets of integrated manufacturing system design and operations, including:
* Process planning
* Setup reduction
* Production planning and scheduling
* Kanban systems
* Manufacturing equipment selection
* Group technology
* Facilities and manufacturing cell layout
* Warehouse layout
* Manufacturing system product and component design
* Supplier evaluation
Each chapter includes questions and problems that address key issues on model integration and the use of computational intelligence approaches to solve difficulties across many areas of an enterprise. Examples and case studies from real-world industrial projects illustrate the powerfulapplication potential of the computational techniques.
Comprehensive in scope and flexible in approach, Computational Intelligence in Design and Manufacturing is right in step with the enterprise of the future: extended, virtual, model-driven, knowledge-based, and integrated in time and space. It is essential reading for forward-thinking students and professional engineers and managersworking in design systems, manufacturing, and related areas.