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    Financial Outlay Modeling for a Local Sewer Rehabilitation Strategy

    Source: Journal of Construction Engineering and Management:;2002:;Volume ( 128 ):;issue: 006
    Author:
    Samuel T. Ariaratnam
    ,
    Colin W. MacLeod
    DOI: 10.1061/(ASCE)0733-9364(2002)128:6(486)
    Publisher: American Society of Civil Engineers
    Abstract: Modern infrastructure systems are highly developed, with considerable capital funding invested in them. While capital is spent on new infrastructure initiatives, the maintenance of the present infrastructure must not be neglected. Increasingly, public agencies are being urged to develop improved systematic methodology for allotting their period budgets more appropriately so that the capacity of the installed infrastructure is more fully utilized and sustained. When planning the allocation of investment funds, multiple objectives may exist that are dependent on the constraints, resources available for construction, and the interrelationships and dependencies among all of the alternatives. This makes the task of planning, prioritizing, and allocating funds a complex exercise. This paper presents a financial outlay model called PRISM, Proactive Rehabilitative Sewer Infrastructure Management, which uses linear programming to optimize allocation of funding for the local sewer network maintained by the City of Edmonton, Canada. By grouping sewer pipes into categories based on parameters of age, diameter, material type, waste types, and average depth of cover, the model provides a mechanism for determining the most appropriate allocation or appropriation of funding given a planning horizon and budgetary constraints.
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      Financial Outlay Modeling for a Local Sewer Rehabilitation Strategy

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    http://yetl.yabesh.ir/yetl1/handle/yetl/20476
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    contributor authorSamuel T. Ariaratnam
    contributor authorColin W. MacLeod
    date accessioned2017-05-08T20:35:23Z
    date available2017-05-08T20:35:23Z
    date copyrightDecember 2002
    date issued2002
    identifier other%28asce%290733-9364%282002%29128%3A6%28486%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/20476
    description abstractModern infrastructure systems are highly developed, with considerable capital funding invested in them. While capital is spent on new infrastructure initiatives, the maintenance of the present infrastructure must not be neglected. Increasingly, public agencies are being urged to develop improved systematic methodology for allotting their period budgets more appropriately so that the capacity of the installed infrastructure is more fully utilized and sustained. When planning the allocation of investment funds, multiple objectives may exist that are dependent on the constraints, resources available for construction, and the interrelationships and dependencies among all of the alternatives. This makes the task of planning, prioritizing, and allocating funds a complex exercise. This paper presents a financial outlay model called PRISM, Proactive Rehabilitative Sewer Infrastructure Management, which uses linear programming to optimize allocation of funding for the local sewer network maintained by the City of Edmonton, Canada. By grouping sewer pipes into categories based on parameters of age, diameter, material type, waste types, and average depth of cover, the model provides a mechanism for determining the most appropriate allocation or appropriation of funding given a planning horizon and budgetary constraints.
    publisherAmerican Society of Civil Engineers
    titleFinancial Outlay Modeling for a Local Sewer Rehabilitation Strategy
    typeJournal Paper
    journal volume128
    journal issue6
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)0733-9364(2002)128:6(486)
    treeJournal of Construction Engineering and Management:;2002:;Volume ( 128 ):;issue: 006
    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