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    Performance-Based Building System Manufacturer Selection Decision Framework for Integration into Total Cost of Ownership Evaluations

    Source: Journal of Performance of Constructed Facilities:;2021:;Volume ( 035 ):;issue: 005::page 04021049-1
    Author:
    Sarah L. Brown
    ,
    Steven J. Schuldt
    ,
    Michael N. Grussing
    ,
    Louis B. Bartels
    ,
    Michael A. Johnson
    ,
    Justin D. Delorit
    DOI: 10.1061/(ASCE)CF.1943-5509.0001624
    Publisher: ASCE
    Abstract: Facility managers are often faced with building system procurement or replacement decisions, requiring them to select a system from among competitive manufacturers. Total cost of ownership (TCO) criteria, informed by built assets in operation in the manager’s portfolio, provides some information to select the right asset manufacturer. However, managers must also consider technical performance to complete a more comprehensive analysis. Performance can be calculated using asset parameters like condition, age, and variation in condition to aid in TCO assessments. Leveraging past research and approaches, performance is calculated using an additive model that scales each parameter using a standard normalization technique and employs weighting factors to account for decision-maker input. Data from 20 Air Force installations across the US and two asset types are analyzed, showing the utility of a performance metric. This analysis shows that as manufacturer diversity in portfolios decreases, performance increases for most of the asset types modeled. This paper presents a new performance metric that can be used as an additional criterion in TCO models to build a more robust decision framework.
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      Performance-Based Building System Manufacturer Selection Decision Framework for Integration into Total Cost of Ownership Evaluations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4271911
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    • Journal of Performance of Constructed Facilities

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    contributor authorSarah L. Brown
    contributor authorSteven J. Schuldt
    contributor authorMichael N. Grussing
    contributor authorLouis B. Bartels
    contributor authorMichael A. Johnson
    contributor authorJustin D. Delorit
    date accessioned2022-02-01T21:43:31Z
    date available2022-02-01T21:43:31Z
    date issued10/1/2021
    identifier other%28ASCE%29CF.1943-5509.0001624.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271911
    description abstractFacility managers are often faced with building system procurement or replacement decisions, requiring them to select a system from among competitive manufacturers. Total cost of ownership (TCO) criteria, informed by built assets in operation in the manager’s portfolio, provides some information to select the right asset manufacturer. However, managers must also consider technical performance to complete a more comprehensive analysis. Performance can be calculated using asset parameters like condition, age, and variation in condition to aid in TCO assessments. Leveraging past research and approaches, performance is calculated using an additive model that scales each parameter using a standard normalization technique and employs weighting factors to account for decision-maker input. Data from 20 Air Force installations across the US and two asset types are analyzed, showing the utility of a performance metric. This analysis shows that as manufacturer diversity in portfolios decreases, performance increases for most of the asset types modeled. This paper presents a new performance metric that can be used as an additional criterion in TCO models to build a more robust decision framework.
    publisherASCE
    titlePerformance-Based Building System Manufacturer Selection Decision Framework for Integration into Total Cost of Ownership Evaluations
    typeJournal Paper
    journal volume35
    journal issue5
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/(ASCE)CF.1943-5509.0001624
    journal fristpage04021049-1
    journal lastpage04021049-9
    page9
    treeJournal of Performance of Constructed Facilities:;2021:;Volume ( 035 ):;issue: 005
    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