YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Mechanical Design
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Mechanical Design
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Quantifying the Impact of Domain Knowledge and Problem Framing on Sequential Decisions in Engineering Design

    Source: Journal of Mechanical Design:;2018:;volume( 140 ):;issue: 010::page 101402
    Author:
    Shergadwala, Murtuza
    ,
    Bilionis, Ilias
    ,
    Kannan, Karthik N.
    ,
    Panchal, Jitesh H.
    DOI: 10.1115/1.4040548
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Many decisions within engineering systems design are typically made by humans. These decisions significantly affect the design outcomes and the resources used within design processes. While decision theory is increasingly being used from a normative standpoint to develop computational methods for engineering design, there is still a significant gap in our understanding of how humans make decisions within the design process. Particularly, there is lack of knowledge about how an individual's domain knowledge and framing of the design problem affect information acquisition decisions. To address this gap, the objective of this paper is to quantify the impact of a designer's domain knowledge and problem framing on their information acquisition decisions and the corresponding design outcomes. The objective is achieved by (i) developing a descriptive model of information acquisition decisions, based on an optimal one-step look ahead sequential strategy, utilizing expected improvement maximization, and (ii) using the model in conjunction with a controlled behavioral experiment. The domain knowledge of an individual is measured in the experiment using a concept inventory, whereas the problem framing is controlled as a treatment variable in the experiment. A design optimization problem is framed in two different ways: a domain-specific track design problem and a domain-independent function optimization problem (FOP). The results indicate that when the problem is framed as a domain-specific design task, the design solutions are better and individuals have a better state of knowledge about the problem, as compared to the domain-independent task. The design solutions are found to be better when individuals have a higher knowledge of the domain and they follow the modeled strategy closely.
    • Download: (1.464Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Quantifying the Impact of Domain Knowledge and Problem Framing on Sequential Decisions in Engineering Design

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4252263
    Collections
    • Journal of Mechanical Design

    Show full item record

    contributor authorShergadwala, Murtuza
    contributor authorBilionis, Ilias
    contributor authorKannan, Karthik N.
    contributor authorPanchal, Jitesh H.
    date accessioned2019-02-28T11:03:50Z
    date available2019-02-28T11:03:50Z
    date copyright7/24/2018 12:00:00 AM
    date issued2018
    identifier issn1050-0472
    identifier othermd_140_10_101402.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252263
    description abstractMany decisions within engineering systems design are typically made by humans. These decisions significantly affect the design outcomes and the resources used within design processes. While decision theory is increasingly being used from a normative standpoint to develop computational methods for engineering design, there is still a significant gap in our understanding of how humans make decisions within the design process. Particularly, there is lack of knowledge about how an individual's domain knowledge and framing of the design problem affect information acquisition decisions. To address this gap, the objective of this paper is to quantify the impact of a designer's domain knowledge and problem framing on their information acquisition decisions and the corresponding design outcomes. The objective is achieved by (i) developing a descriptive model of information acquisition decisions, based on an optimal one-step look ahead sequential strategy, utilizing expected improvement maximization, and (ii) using the model in conjunction with a controlled behavioral experiment. The domain knowledge of an individual is measured in the experiment using a concept inventory, whereas the problem framing is controlled as a treatment variable in the experiment. A design optimization problem is framed in two different ways: a domain-specific track design problem and a domain-independent function optimization problem (FOP). The results indicate that when the problem is framed as a domain-specific design task, the design solutions are better and individuals have a better state of knowledge about the problem, as compared to the domain-independent task. The design solutions are found to be better when individuals have a higher knowledge of the domain and they follow the modeled strategy closely.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleQuantifying the Impact of Domain Knowledge and Problem Framing on Sequential Decisions in Engineering Design
    typeJournal Paper
    journal volume140
    journal issue10
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.4040548
    journal fristpage101402
    journal lastpage101402-13
    treeJournal of Mechanical Design:;2018:;volume( 140 ):;issue: 010
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian