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    Re-sequencing of Design Processes With Activity Stochastic Time and Cost: An Optimization-Simulation Approach

    Source: Journal of Mechanical Design:;2007:;volume( 129 ):;issue: 002::page 150
    Author:
    Hisham M. E. Abdelsalam
    ,
    Han P. Bao
    DOI: 10.1115/1.2216730
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Background. By the mid-1990s, the importance of the early introduction of new products to both market share and profitability became fully understood. Thus, reducing product time-to-market became an essential requirement for continuous competition. Coupled with the fact that about 70% of the life cycle cost of a product is committed at early design phases, the motivation for developing and implementing more effective methodologies for managing the design process of new product development projects became very strong. Method of Approach. One tool that helps in understanding and analyzing such a project is the design structure matrix (DSM). This paper presents a framework that obtains an optimum sequence of project activities—presented by the DSM—that minimizes total time and cost given stochastic activity estimated time and cost. The framework interfaces a meta-heuristic optimization algorithm called simulated annealing with a commercial risk analysis software. Results. The proposed framework was applied to a design project and the results have shown a robust solution minimum was reached. Conclusions. Since much of the time and cost involved in the design process is attributable to its expensive iterative nature. The framework presented in this paper improves a design project via obtaining an optimum sequence of its activities that minimizes total time and cost.
    keyword(s): Simulation , Algorithms , Design , Optimization , Simulated annealing , Computer software , Engineering design processes , Product development , Cycles , Feedback AND Optimization algorithms ,
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      Re-sequencing of Design Processes With Activity Stochastic Time and Cost: An Optimization-Simulation Approach

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    contributor authorHisham M. E. Abdelsalam
    contributor authorHan P. Bao
    date accessioned2017-05-09T00:25:11Z
    date available2017-05-09T00:25:11Z
    date copyrightFebruary, 2007
    date issued2007
    identifier issn1050-0472
    identifier otherJMDEDB-27842#150_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/136520
    description abstractBackground. By the mid-1990s, the importance of the early introduction of new products to both market share and profitability became fully understood. Thus, reducing product time-to-market became an essential requirement for continuous competition. Coupled with the fact that about 70% of the life cycle cost of a product is committed at early design phases, the motivation for developing and implementing more effective methodologies for managing the design process of new product development projects became very strong. Method of Approach. One tool that helps in understanding and analyzing such a project is the design structure matrix (DSM). This paper presents a framework that obtains an optimum sequence of project activities—presented by the DSM—that minimizes total time and cost given stochastic activity estimated time and cost. The framework interfaces a meta-heuristic optimization algorithm called simulated annealing with a commercial risk analysis software. Results. The proposed framework was applied to a design project and the results have shown a robust solution minimum was reached. Conclusions. Since much of the time and cost involved in the design process is attributable to its expensive iterative nature. The framework presented in this paper improves a design project via obtaining an optimum sequence of its activities that minimizes total time and cost.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRe-sequencing of Design Processes With Activity Stochastic Time and Cost: An Optimization-Simulation Approach
    typeJournal Paper
    journal volume129
    journal issue2
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.2216730
    journal fristpage150
    journal lastpage157
    identifier eissn1528-9001
    keywordsSimulation
    keywordsAlgorithms
    keywordsDesign
    keywordsOptimization
    keywordsSimulated annealing
    keywordsComputer software
    keywordsEngineering design processes
    keywordsProduct development
    keywordsCycles
    keywordsFeedback AND Optimization algorithms
    treeJournal of Mechanical Design:;2007:;volume( 129 ):;issue: 002
    contenttypeFulltext
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