The Experts below are selected from a list of 18561 Experts worldwide ranked by ideXlab platform
Ezat Sanii - One of the best experts on this subject based on the ideXlab platform.
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A constraint-based genetic algorithm for Concurrent Engineering
International Journal of Production Research, 1998Co-Authors: Denis Cormier, Peter O'grady, Ezat SaniiAbstract:Concurrent Engineering is a complex problem in that a large number of considerations have to be brought to bear during the design stage. Compounding this complexity is that Concurrent Engineering problems are also likely to encompass both numeric and symbolic variables, and constraints that range from simple algebraic constraints, through conditional constraints, to potentially very complex database constraints. Previous approaches have concentrated on finding good solutions to simplified problems or, alternatively, to finding a feasible solution which may not be close to optimal. This paper presents an approach to Concurrent Engineering problems that extends the conventional genetic algorithm approach to handle the complex variety of variables and constraints that are inherent in a typical Concurrent Engineering problem. This poses some severe research challenges and this paper describes three genetic operators (the constraint-based initialization, crossover, and mutation operators) that preserve feasibi...
Denis Cormier - One of the best experts on this subject based on the ideXlab platform.
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A constraint-based genetic algorithm for Concurrent Engineering
International Journal of Production Research, 1998Co-Authors: Denis Cormier, Peter O'grady, Ezat SaniiAbstract:Concurrent Engineering is a complex problem in that a large number of considerations have to be brought to bear during the design stage. Compounding this complexity is that Concurrent Engineering problems are also likely to encompass both numeric and symbolic variables, and constraints that range from simple algebraic constraints, through conditional constraints, to potentially very complex database constraints. Previous approaches have concentrated on finding good solutions to simplified problems or, alternatively, to finding a feasible solution which may not be close to optimal. This paper presents an approach to Concurrent Engineering problems that extends the conventional genetic algorithm approach to handle the complex variety of variables and constraints that are inherent in a typical Concurrent Engineering problem. This poses some severe research challenges and this paper describes three genetic operators (the constraint-based initialization, crossover, and mutation operators) that preserve feasibi...
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Constraint-based genetic algorithms for Concurrent Engineering
Manufacturing Decision Support Systems, 1997Co-Authors: Denis Cormier, Peter O'gradyAbstract:Concurrent Engineering is the consideration of the factors associated with the life-cycle of a product during the design phase. These factors include product functionality, manufacturing, assembly, testing, maintenance, reliability, cost and quality (O’Grady and Young, 1991). Concurrent Engineering is important because it is at the design stage that such aspects as product quality and cost are specified. The degree of implementation of Concurrent Engineering can be thought of as being divided into the following four categories (O’Grady and Young, 1991).
Peter O'grady - One of the best experts on this subject based on the ideXlab platform.
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A constraint-based genetic algorithm for Concurrent Engineering
International Journal of Production Research, 1998Co-Authors: Denis Cormier, Peter O'grady, Ezat SaniiAbstract:Concurrent Engineering is a complex problem in that a large number of considerations have to be brought to bear during the design stage. Compounding this complexity is that Concurrent Engineering problems are also likely to encompass both numeric and symbolic variables, and constraints that range from simple algebraic constraints, through conditional constraints, to potentially very complex database constraints. Previous approaches have concentrated on finding good solutions to simplified problems or, alternatively, to finding a feasible solution which may not be close to optimal. This paper presents an approach to Concurrent Engineering problems that extends the conventional genetic algorithm approach to handle the complex variety of variables and constraints that are inherent in a typical Concurrent Engineering problem. This poses some severe research challenges and this paper describes three genetic operators (the constraint-based initialization, crossover, and mutation operators) that preserve feasibi...
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Constraint-based genetic algorithms for Concurrent Engineering
Manufacturing Decision Support Systems, 1997Co-Authors: Denis Cormier, Peter O'gradyAbstract:Concurrent Engineering is the consideration of the factors associated with the life-cycle of a product during the design phase. These factors include product functionality, manufacturing, assembly, testing, maintenance, reliability, cost and quality (O’Grady and Young, 1991). Concurrent Engineering is important because it is at the design stage that such aspects as product quality and cost are specified. The degree of implementation of Concurrent Engineering can be thought of as being divided into the following four categories (O’Grady and Young, 1991).
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An advice system for Concurrent Engineering
International Journal of Computer Integrated Manufacturing, 1991Co-Authors: Peter O'grady, Robert E. Young, Arthur Greef, Larry SmithAbstract:Abstract Concurrent Engineering involves the simultaneous consideration in the design phase of life-cycle factors such as product, function, design, materials, manufacturing processes, testability, serviceability, quality, and reliability. Concurrent Engineering is important because it is at the design stage that many of the costs of a product are specified. We present a new approach to Concurrent Engineering using artificial intelligence constraint networks. A system that uses constraint networks can advise the designer on improvements that can be made to the design. This approach has a number of advantages, including being flexible enough to allow the design problem to be approached from a variety of viewpoints; allowing the designer to design despite having incomplete information; and being able to handle the large variety of life-cycle information. The existing approaches to Concurrent Engineering are reviewed and the requirements of a Concurrent Engineering system are indicated. Constraint networks a...
Steven D Eppinger - One of the best experts on this subject based on the ideXlab platform.
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model based approaches to managing Concurrent Engineering
Journal of Engineering Design, 1991Co-Authors: Steven D EppingerAbstract:SUMMARY As design managers begin to implement Concurrent Engineering in order to reduce development time, design procedures can become more complex, potentially taking even greater time to complete. This paper discusses the basis for such design task complexity and presents a method for representing these constraints within a design process model. These models are used to explore several approaches for design process management. It is shown that while the feedback characteristic of Concurrent Engineering is essential to enhance design quality, this feedback causes iteration which can use up valuable Engineering time. For Concurrent Engineering to save time, we require a framework for evaluating which tasks are vital to begin early in the development cycle, and which tasks should be left for later.
Chris J. Backhouse - One of the best experts on this subject based on the ideXlab platform.
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Understanding Concurrent Engineering implementation: A case-study approach
International Journal of Production Research, 1998Co-Authors: N.j. Brookes, Chris J. BackhouseAbstract:Concurrent Engineering is a widely recognized approach to improving product introduction and it is therefore key that its implementation is understood. This paper augments the existing understanding of Concurrent Engineering implementations by using a case-study approach. The benefits of this are reviewed and the results of nine industrial case-studies are presented. An amalgamated picture of the results of both research approaches is used to highlight how Concurrent Engineering may be more widely implemented. In the course of the examination, a vocabulary to enable a common understanding of Concurrent Engineering was developed and this is also presented in this paper.
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Implementing Concurrent Engineering in different environments: factors for success
Fifth International Conference on Factory 2000 - The Technology Exploitation Process, 1997Co-Authors: N.j. Brookes, Chris J. BackhouseAbstract:It is not surprising that companies face challenges in determining the sort of Concurrent Engineering solution that they require given the multiplicity of ways that it has been considered. Concurrent Engineering has been viewed at a tactical level in terms of a series of disparate tools, techniques and organisational structures that when implemented together form Concurrent Engineering. Typical elements judged to create a Concurrent Engineering solutions have included parallel tasks, cross functional development teams, inter-disciplinary workgroups, use of quality Engineering methods such as QFD, Taguchi, SPC, an integrated CAE environment and design-for-manufacture techniques. A second body of work regards Concurrent Engineering at a strategic level. It emphasises the parallel consideration of all aspects of product introduction rather than the more traditional sequential approach. The final group of definitions views Concurrent Engineering at an objective level. The definition of Concurrent Engineering becomes very wide to encompass a way for improving the performance of product introduction and hence improving overall business performance. Each of these approaches can find echoes in industrial implementations. For the purpose of this paper Concurrent Engineering is considered in terms of its effect on the organisational structure. This article therefore focuses on the types of team implemented in terms of its membership, leadership, location and whether or not the team is full-time.
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Variety and Concurrent Engineering
Manufacturing Engineer, 1997Co-Authors: N.j. Brookes, Chris J. BackhouseAbstract:The authors outline a new framework for classifying approaches to Concurrent Engineering, and how to choose the right approach for your company.