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    Risk-Based Decision-Making for Managing Resources During the Design of Complex Space Exploration Systems

    Source: Journal of Mechanical Design:;2006:;volume( 128 ):;issue: 004::page 1014
    Author:
    Ali Farhang Mehr
    ,
    Irem Y. Tumer
    DOI: 10.1115/1.2205868
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Complex space exploration systems are often designed in collaborative engineering environments where requirements and design decisions by various subsystem engineers have a great impact on the overall risk of the mission. As a result, the system-level management should allocate risk mitigation resources (e.g., capital to place additional sensors or to improve the current technology) among various risk elements such that the main objectives of the system are achieved as closely as possible. Minimizing risk has been long accepted as one of the major drivers for system-level decisions and particularly resource management. In this context, Risk-Based Decision Making refers to a process that allocates resources in such a way that the expected risk of the overall system is minimized. This paper presents a new risk-based design decision-making method, referred to as Risk and Uncertainty Based Concurrent Integrated Design Methodology or RUBIC Design Methodology for short. The new approach is based on concepts from portfolio optimization theory and continuous resource management, extended to provide a mathematical rigor for risk-based decision-making during the design of complex space exploration systems. The RUBIC design method is based on the idea that a unit of resource, allocated to mitigate a certain risk in the system, contributes to the overall system risk reduction in the following two ways: (1) by mitigating that particular risk; and (2) by impacting other risk elements in the system (i.e., the correlation among various risk elements). RUBIC then provides a probabilistic framework for reducing the expected risk of the final system via optimal allocation of available risk-mitigation resources. The application of the proposed approach is demonstrated using a satellite reaction wheel example.
    keyword(s): Design , Design methodology , Failure , Decision making , Wheels , Probability AND Satellites ,
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      Risk-Based Decision-Making for Managing Resources During the Design of Complex Space Exploration Systems

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    http://yetl.yabesh.ir/yetl1/handle/yetl/134320
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    contributor authorAli Farhang Mehr
    contributor authorIrem Y. Tumer
    date accessioned2017-05-09T00:21:00Z
    date available2017-05-09T00:21:00Z
    date copyrightJuly, 2006
    date issued2006
    identifier issn1050-0472
    identifier otherJMDEDB-27829#1014_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/134320
    description abstractComplex space exploration systems are often designed in collaborative engineering environments where requirements and design decisions by various subsystem engineers have a great impact on the overall risk of the mission. As a result, the system-level management should allocate risk mitigation resources (e.g., capital to place additional sensors or to improve the current technology) among various risk elements such that the main objectives of the system are achieved as closely as possible. Minimizing risk has been long accepted as one of the major drivers for system-level decisions and particularly resource management. In this context, Risk-Based Decision Making refers to a process that allocates resources in such a way that the expected risk of the overall system is minimized. This paper presents a new risk-based design decision-making method, referred to as Risk and Uncertainty Based Concurrent Integrated Design Methodology or RUBIC Design Methodology for short. The new approach is based on concepts from portfolio optimization theory and continuous resource management, extended to provide a mathematical rigor for risk-based decision-making during the design of complex space exploration systems. The RUBIC design method is based on the idea that a unit of resource, allocated to mitigate a certain risk in the system, contributes to the overall system risk reduction in the following two ways: (1) by mitigating that particular risk; and (2) by impacting other risk elements in the system (i.e., the correlation among various risk elements). RUBIC then provides a probabilistic framework for reducing the expected risk of the final system via optimal allocation of available risk-mitigation resources. The application of the proposed approach is demonstrated using a satellite reaction wheel example.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRisk-Based Decision-Making for Managing Resources During the Design of Complex Space Exploration Systems
    typeJournal Paper
    journal volume128
    journal issue4
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.2205868
    journal fristpage1014
    journal lastpage1022
    identifier eissn1528-9001
    keywordsDesign
    keywordsDesign methodology
    keywordsFailure
    keywordsDecision making
    keywordsWheels
    keywordsProbability AND Satellites
    treeJournal of Mechanical Design:;2006:;volume( 128 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian