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    Structured Approach for Best-Value Evaluation Criteria: US Design–Build Highway Procurement

    Source: Journal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 006
    Author:
    Maria Calahorra-Jimenez
    ,
    Keith Molenaar
    ,
    Cristina Torres-Machi
    ,
    Alondra Chamorro
    ,
    Luis F. Alarcón
    DOI: 10.1061/(ASCE)ME.1943-5479.0000857
    Publisher: ASCE
    Abstract: In best-value procurement, current practice shows that cost is frequently more influential than noncost factors, and consequently, the lowest bidder is chosen in most cases; thus, a best-value selection is not achieved. Design-builders cannot offer the best value in their proposals if evaluation criteria do not show precisely what constitutes best value and how best value is scored. Thus, the aim of this research is twofold: first, to identify how highway agencies articulate evaluation criteria and, second, to propose a structured approach that enhances current practice on writing evaluation criteria. Through the lens of decision analysis, the researchers conducted a content analysis on 540 evaluation criteria included in 98 requests for proposal (RFPs) from 21 states across the United States. The study showed that 43% of evaluation criteria were generic, 53% used a generic constructed scale, and 4% assigned points or levels directly. These three groups represent different levels of specificity in writing evaluation criteria. Building upon these levels and on decision analysis theory principles, this research proposes a structured approach to support highway agencies in the process of crafting evaluation criteria. More precise and specific evaluation criteria will enhance the proposals’ ability to offer the best value, which, in turn, will enhance the best-value selection process as a whole.
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      Structured Approach for Best-Value Evaluation Criteria: US Design–Build Highway Procurement

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    contributor authorMaria Calahorra-Jimenez
    contributor authorKeith Molenaar
    contributor authorCristina Torres-Machi
    contributor authorAlondra Chamorro
    contributor authorLuis F. Alarcón
    date accessioned2022-01-30T20:48:31Z
    date available2022-01-30T20:48:31Z
    date issued11/1/2020 12:00:00 AM
    identifier other%28ASCE%29ME.1943-5479.0000857.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4267154
    description abstractIn best-value procurement, current practice shows that cost is frequently more influential than noncost factors, and consequently, the lowest bidder is chosen in most cases; thus, a best-value selection is not achieved. Design-builders cannot offer the best value in their proposals if evaluation criteria do not show precisely what constitutes best value and how best value is scored. Thus, the aim of this research is twofold: first, to identify how highway agencies articulate evaluation criteria and, second, to propose a structured approach that enhances current practice on writing evaluation criteria. Through the lens of decision analysis, the researchers conducted a content analysis on 540 evaluation criteria included in 98 requests for proposal (RFPs) from 21 states across the United States. The study showed that 43% of evaluation criteria were generic, 53% used a generic constructed scale, and 4% assigned points or levels directly. These three groups represent different levels of specificity in writing evaluation criteria. Building upon these levels and on decision analysis theory principles, this research proposes a structured approach to support highway agencies in the process of crafting evaluation criteria. More precise and specific evaluation criteria will enhance the proposals’ ability to offer the best value, which, in turn, will enhance the best-value selection process as a whole.
    publisherASCE
    titleStructured Approach for Best-Value Evaluation Criteria: US Design–Build Highway Procurement
    typeJournal Paper
    journal volume36
    journal issue6
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000857
    page14
    treeJournal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 006
    contenttypeFulltext
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