The Experts below are selected from a list of 69 Experts worldwide ranked by ideXlab platform

James L Rogers - One of the best experts on this subject based on the ideXlab platform.

  • international conference on engineering Design iced 97 tampere august 19 21 1997 reducing Design cycle time and cost through process resequencing
    1997
    Co-Authors: James L Rogers
    Abstract:

    In todayOs competitive environment, companies are under enormous pressure to reduce thetime and cost of their Design cycle. One method for reducing both time and cost is todevelop an understanding of the flow of the Design processes and the effects of the iterativesubcycles that are found in complex Design projects. Once these aspects are understood,the Design Manager can make decisions that take advantage of decomposition, concurrentengineering, and parallel processing techniques to reduce the total time and the total cost ofthe Design cycle. One software tool that can aid in this decision-making process is theDesign ManagerOs Aid for Intelligent Decomposition (DeMAID).The DeMAID software minimizes the feedback couplings that create iterative subcycles,groups processes into iterative subcycles, and decomposes the subcycles into a hierarchicalstructure. The real benefits of producing the best Design in the least time and at a minimumcost are obtained from sequencing the processes in the subcycles.

  • demaid ga user s guide Design Manager s aid for intelligent decomposition with a genetic algorithm
    1996
    Co-Authors: James L Rogers
    Abstract:

    Many companies are looking for new tools and techniques to aid a Design Manager in making decisions that can reduce the time and cost of a Design cycle. One tool that is available to aid in this decision making process is the Design Manager's Aid for Intelligent Decomposition (DeMAID). Since the initial release of DEMAID in 1989, numerous enhancements have been added to aid the Design Manager in saving both cost and time in a Design cycle. The key enhancement is a genetic algorithm (GA) and the enhanced version is called DeMAID/GA. The GA orders the sequence of Design processes to minimize the cost and time to converge to a solution. These enhancements as well as the existing features of the original version of DEMAID are described. Two sample problems are used to show how these enhancements can be applied to improve the Design cycle. This report serves as a user's guide for DeMAID/GA.

  • enhancements to the Design Manager s aide for intelligent decomposition demaid
    In: AIAA(USAF)NASA OAI Symposium on Multidisciplinary Analysis and Optimization 4th Cleveland OH Sept. 21-23 1992 Technical Papers. Pt. 2 (A93-20301 0, 1992
    Co-Authors: James L Rogers, Jeanfrancois M Barthelemy
    Abstract:

    This paper discusses the addition of two new enhancements to the program Design Manager's Aide for Intelligent Decomposition (DeMAID). DeMAID is a knowledge-based tool used to aid a Design Manager in understanding the interactions among the tasks of a complex Design problem. This is done by ordering the tasks to minimize feedback, determining the participating subsystems, and displaying them in an easily understood format. The two new enhancements include (1) rules for ordering a complex assembly process and (2) rules for determining which analysis tasks must be re-executed to compute the output of one task based on a change in input to that or another task.

J L Rogers - One of the best experts on this subject based on the ideXlab platform.

  • demaid ga an enhanced Design Manager s aid for intelligent decomposition
    6th Symposium on Multidisciplinary Analysis and Optimization, 1996
    Co-Authors: J L Rogers
    Abstract:

    Many companies are looking for new tools and techniques to aid a Design Manager in making decisions that can reduce the time and cost of a Design cycle. One tool is the Design Manager's Aid for Intelligent Decomposition (DeMAID). Since the initial public release of DeMAID in 1989, much research has been done in the areas of decomposition, concurrent engineering, parallel processing, and process management; many new tools and techniques have emerged. Based on these recent research and development efforts, numerous enhancements have been added to DeMAID to further aid the Design Manager in saving both cost and time in a Design cycle. The key enhancement, a genetic algorithm (GA), will be available in the next public release called DeMAID/GA. The GA sequences the Design processes to minimize the cost and time in converging a solution. The major enhancements in the upgrade of DeMAID to DeMAID/GA are discussed in this paper. A sample conceptual Design project is used to show how these enhancements can be applied to improve the Design cycle.

Rogers L James - One of the best experts on this subject based on the ideXlab platform.

  • reducing Design cycle time and cost through process resequencing
    1997
    Co-Authors: Rogers L James
    Abstract:

    In today''s competitive environment, companies are under enormous pressure to reduce the time and cost of their Design cycle. A software tool, the Design Manager''s Aid for Intelligent Decomposition (DeMAID), has been developed to aid the Design Manager in reducing the cost and time of the Design cycle through understanding the sequence of Design processes and the effects of iterative subcycles often found in complex Design projects. Once these are understood, the Design Manager can make decisions that take advantage of decomposition, concurrent engineering, and parallel processing techniques. DeMAID is a knowledge-based software tool for minimizing the feedback couplings; sequencing the Design processes; grouping processes into iterative subcycles; decomposing these subcycles into a hierarchical, multilevel structure for a Design cycle; and displaying the sequence of processes in a Design structure matrix format. Once the iterative subcycles have been determined, the real benefits of producing the best Design in the least time and at a minimum cost are obtained from sequencing the processes within these subcycles. A genetic algorithm has been added to rapidly examine many possible sequence combinations. A sample conceptual Design project shows how DeMAID can be applied to reduce the time and cost of the Design cycle.

Jeanfrancois M Barthelemy - One of the best experts on this subject based on the ideXlab platform.

  • enhancements to the Design Manager s aide for intelligent decomposition demaid
    In: AIAA(USAF)NASA OAI Symposium on Multidisciplinary Analysis and Optimization 4th Cleveland OH Sept. 21-23 1992 Technical Papers. Pt. 2 (A93-20301 0, 1992
    Co-Authors: James L Rogers, Jeanfrancois M Barthelemy
    Abstract:

    This paper discusses the addition of two new enhancements to the program Design Manager's Aide for Intelligent Decomposition (DeMAID). DeMAID is a knowledge-based tool used to aid a Design Manager in understanding the interactions among the tasks of a complex Design problem. This is done by ordering the tasks to minimize feedback, determining the participating subsystems, and displaying them in an easily understood format. The two new enhancements include (1) rules for ordering a complex assembly process and (2) rules for determining which analysis tasks must be re-executed to compute the output of one task based on a change in input to that or another task.

Primanata Tjandra - One of the best experts on this subject based on the ideXlab platform.

  • Experimental observation of iteration in engineering Design
    Research in Engineering Design, 1998
    Co-Authors: Robert P Smith, Primanata Tjandra
    Abstract:

    This paper uses a laboratory experimental setting to make observations about the iteration process in engineering Design. Iteration is an important and ubiquitous feature of engineering Design. Previous research has constructed prescriptive mathematical models of the iteration process in an attempt to aid the Design Manager. In this paper, experimental observations are made about Design iteration in a group setting, and those observations are compared with the existing models of the iteration process. Some correspondence with existing models is noted, although there are also significant differences. These differences could be used to improve the mathematical models of the iteration process.