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🏛️國立陽明交通大學機構典藏

Author: search.filters.author.Dzeng, RJSubject: search.filters.subject.construction scheduling

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Now showing 1 - 3 of 3
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    Automatic schedule integration for highway projects
    (2003-07-01)
    Dzeng, RJ
    ;
    Wang, WC
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    The construction of a highway/expressway, which involves a complex combination of roads, bridges, and tunnels, is generally separated into several projects. Various contractors thus execute different projects and often apply differing scheduling practices. Since all projects involved in highway construction must be completed for the highway to be useful, the management of the various projects should preferably be integrated. To assist project controllers in schedule integration, this study proposes algorithms based on standardized codes and network modules. A computer system was also designed to help contractors use these modules for scheduling, and ultimately to let project controllers combine these schedules electronically. A questionnaire survey and industry feedback revealed the potential benefits of using the proposed algorithms for generating and integrating schedules, respectively. Contractors' computation capabilities must be improved before the proposed scheduling algorithms can be fully implemented. (C) 2003 Elsevier Science B.V. All rights reserved.
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    Critiquing contractors' scheduling by integrating rule-based and case-based reasoning
    (2004-09-01)
    Dzeng, RJ
    ;
    Lee, HY
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    Nowadays, projects involve many activities. Hence, the review process requires the scheduler to be experienced both in field operations and in computer scheduling software. However, the dilemma faced by contractors is that many senior project managers are experienced in the field but not in computers, whereas many young engineers are skilled in computers but not in field operations. This work proposes a generalized framework to represent schedule knowledge, and a computer-based system that analyzes a project schedule and offers corrective advice on potential errors by integrating case-based and rule-based reasoning. (C) 2004 Elsevier B.V. All rights reserved.
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    Learning heuristics for determining slurry wall panel lengths
    (2006-05-01)
    Dzeng, RJ
    ;
    Pan, NF
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    Determining panel lengths for slurry walls is an engineering issue that involves complex geotechnical, design, and site considerations. In practice, the decision is made through a trial-and-error process. Relevant principles extracted from experts are not sufficiently detailed to generate a solution. This research proposes an inductive learning model for solving this problem. Given a new project whose panel lengths need to be determined, the model chooses similar cases from existing cases, based on case-based reasoning, performs an inductive learning, and uses correctness and coverage rates, and then static rules to verify the induced results. (c) 2005 Elsevier B.V. All rights reserved.