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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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Author: search.filters.author.Dzeng, RJ

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Now showing 1 - 10 of 15
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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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    Module-based construction schedule administration for public infrastructure agencies
    (2004-01-01)
    Dzeng, RJ
    ;
    Wang, WC
    ;
    Tserng, HP
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    Infrastructure projects such as the construction of expressways are often distributed over different regions and must therefore be divided into several tendering packages. The public agencies that administrate such projects manage project packages that must be integrated. All project packages may involve similar work. However, they are carried out by different contractors each with their own scheduling practices. Standardization provides a foundation for more efficient and effective schedule integration, but cannot easily be enforced without objections from contractors. This paper presents a three-stage standardization implementation framework using modularization. A set of network modules that involve normal, repetitive, cyclic, and merging activities was developed for expressway projects. Two computer systems were developed to help contractors use these modules to create schedules, and to help the owner review schedules submitted by contractors. Experiments and a survey were also carried out to validate the proposed framework, demonstrating a significant amount of time saving and errors reduced by using network modules.
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    Product modelling to support case-based construction planning and scheduling
    (2004-05-01)
    Dzeng, RJ
    ;
    Tommelein, ID
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    Many human schedulers create schedules by reusing past similar schedules. The retrieval and reuse of similar schedules are subjective and experience-based. This paper explores different notions of similarity required when performing different scheduling tasks. It describes the CasePlan system that helps schedulers retrieve and reuse parts of existing schedules based on a generic product model, and apply case-based reasoning to generate new schedules. The validation experiment demonstrated CasePlan's accuracy in determining individual subnetworks and activity durations, but weak performance in determining interlinks between subnetworks, which highly depends upon the availability of pertinent cases and the level of detail of project information. (C) 2004 Elsevier B.V. All rights reserved.
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    Intelligent agents for supporting construction procurement negotiation
    (2004-07-01)
    Dzeng, RJ
    ;
    Lin, YC
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    Negotiation is commonly required to reach a final contractual agreement in construction material procurement. However, even simple negotiations often result in suboptimal agreements, thus 'leaving money on the table.' An automated system that could evaluate bids, negotiate to finalize the bid, and value the individual characteristics of negotiating parties would be useful to both contractors and suppliers. This study examines common negotiable issues and options for construction material procurement, and presents an agent-based system, named C-Negotiators, that helps a contractor and suppliers to negotiate via the Internet. Genetic algorithm is used to find the most beneficial agreement for all parties. and web-based development is used to improve negotiation efficiency. Experiments also were conducted and demonstrated that C-Negotiators improved negotiation efficiency by saving negotiation time and cost, and improved negotiation effectiveness by suggesting a better agreement with higher joint payoff. Although the increase in payoff was smaller than expected, the improvement should increase for more complex negotiation problems involving more issues and options, or complicated preferences and for inexperienced negotiators. The application of the system is mainly limited by its symmetric optimization, while procurement negotiations in the construction industry are biased towards the contractor, and also by user comfort with their preferences and negotiations being monitored by the system. (C) 2003 Elsevier Ltd. 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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    Item type:Item,
    Learning search keywords for construction procurement
    (2005-01-01)
    Dzeng, RJ
    ;
    Chang, SY
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    Seeking information from websites has become an essential part of a contractor's procurement undertaking. as more and more procurement websites become available on the Internet, Websites host extremely lame amounts of information: a keyword search, therefore, is often more efficient than browsing via an index. However. in order to find the desired information. it may be necessary to enter keywords using a trial-and-error process. This research recognizes that professional procurement experience can help users search website information more effectively, by using fewer keywords. and so proposes a learning model and suggestion model that can capture such experience. thus guiding inexperienced users in their search. Experiments, evaluating the performance of the system, were also conducted. (C) 2004 Elsevier B.V. All rights reserved.
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    Automating schedule review for expressway construction
    (2005-01-01)
    Dzeng, RJ
    ;
    Tserng, HP
    ;
    Wang, WC
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    An expressway project is often divided into subprojects with different tendering packages, and carried out by several general contractors that apply different scheduling practices. Each schedule may contain hundreds of activities, each of which is associated with multiple pay items that determine its earned monetary value. With such huge amount of information, the reviewer can only check a sample piece of information, and the quality of review highly depends on the reviewer's experience and devotion. Automated schedule review provides a solution to reduce such problems encountered in the industry. This paper presents a module-based schedule generation and review model, which includes a predefined set of network modules, network builder assistant computer system that helps schedulers manage and reuse the modules to build a new schedule, and another computer system network review assistant (NRA) that helps reviewers review schedules. The NRA uses generalized rule forms to represent the schedule critique knowledge collected from the industry. When potential errors are found, the NRA adopts case-based reasoning to suggest possible correction based on similar cases. The evaluation conducted by the practitioners using real projects indicates that NRA reduces review time, and provides more accurate review on finding activities and related pay items not conforming to standards, and reminding users of important but often omitted activities.
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    Learning construction-planning knowledge from experience
    (1997)
    Dzeng, RJ
    ;
    Chen, WT
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    The evolution of a construction product throughout ifs engineering life cycle requires many experts in different fields. A training process for a novice to become an expert requires tremendous cost and time. When an expert leaves or retires, knowledge that is accumulated through years of experience is also gone, or stored as various documents that are unorganized and hard to find. Human planners are one type of experts that require such a learning process, which is slow and inefficient. This paper uses construction-planning knowledge as an example to describe an knowledge acquisition system that extracts planning knowledge through generalization of existing construction schedules with human annotation.
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    Item type:Item,
    Intelligent agent for supporting construction procurement negotiation
    (2004)
    Dzeng, RJ
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    Negotiation is commonly required in the procurement of construction materials for general contractors. However, people often reach suboptimal agreements, thereby "leaving money on the table". As E-commerce is becoming popular, an automated system that could evaluate bids, conduct negotiation to finalize the bid, and value the characteristics of negotiating parties would be useful to both contractor and suppliers. This paper presents an agent-based system that allows negotiating parties to define their preferences of negotiable issues and options, and suggests the most beneficial agreement using the genetic algorithm. Experiments were also conducted to evaluate the system's performance on effectiveness and efficiency.
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    Learning search pattern for construction procurement using keyword net
    (2005)
    Dzeng, RJ
    ;
    Wang, SS
    ;
    土木工程學系
    ;
    Department of Civil Engineering
    As more and more procurement websites become available on the Internet, seeking information from websites has become an essential part of a contractor's procurement undertaking. Several e-markets, specifically for construction, have also been established, including bLiquid.com and ProcureZone. However, most websites provide only two primary ways of searching for information, namely by index/menu or by keyword. Instead of relying on the primitive search engines found in most procurement websites, a search guide system could help a user's keyword search by reducing the number of keywords required to find the desired information. Our research recognized that professional procurement experience helped users more effectively carry out website information searches, by using fewer keywords. We planned to capture such experience in order to guide inexperienced users in their search. The research goal was to improve search effectiveness by guiding the user's search using three approaches, namely correction, specification and extension. Based on these three approaches, this research applied the following guides: correction; specification-by-equivalence; specification-by-detail; extension-by-time; extension-by-location; extension-by-team; and extension-by-component. The paper will describe how we classified users for learning credibility, and the learning framework for recording expert users' search patterns. Twelve professionals, using 14 procurement packages, with 64 items in total, evaluated the proposed framework. It will be demonstrated that the proposed learning keyword guide facilitated a dynamic, customized menu and indexing system, and reduced the number of keywords required for the professionals to find the information they desired.