Browsing by Author "Wang, Han-Hsiang"

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AHP- and simulation-based budget determination procedure for public building construction projects
(2008-07-01)
Lai, Yu-Ting
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Wang, Wei-Chih
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Wang, Han-Hsiang
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土木工程學系
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Department of Civil Engineering
Public construction project budgets account for a high percentage of annual government budgets. Thus, objectively determining project budgets is of priority concern for effectively allocating these budgets by government officers. However, Taiwanese regulations for setting construction project budgets only qualitatively describe the governmental administration process. Without a systematic quantitative method, government officers typically determine project budgets based on their personal experience; thus, budgeting results can be unreliable. This study presents a novel procedure for determining construction project budgets. The proposed procedure integrates an analytical hierarchy process (AHP)-based multi-criteria evaluation model with a simulation-based cost model. The AHP reflects officer evaluations with respect to budget determination criteria. Cost items are variables. The cost model generates a cumulative cost distribution for establishing project budget boundaries. The merits of the proposed procedure are demonstrated through its application to a Taiwanese project. (C) 2007 Elsevier B.V. All rights reserved.
Applying building information modeling to integrate schedule and cost for establishing construction progress curves
(2016-12)
Wang, Kun-Chi
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Wang, Wei-Chih
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Wang, Han-Hsiang
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Hsu, Pei-Yuan
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Wu, Wei-Hao
A cost-based progress curve (called S-curve) is often used to control construction project schedules. To establish a progress curve, the costs that are associated with each scheduling activity must be determined. However, the distributions of the quantities (costs) of cost items among various activities are time-consuming to obtain and error prone, yielding an unreliable S-curve. This work proposes the use of three-dimensional building information model (BIM) objects to integrate schedule and cost by using the powerful BIM for data acquisition and storage. BIM objects are incorporated into a proposed four-step model to establish construction progress curves. The proposed model defines search criteria (cost item, object, floor, and zone) that precisely identify takeoff objects for extracting the quantities of cost items associated with each activity. The BIM uses keynote, assembly code, and family type catalog functions to provide pop-up menus for the efficient identification of cost items that are associated with each object to preventing errors in the manual typing of cost-item names. Finally, this work demonstrates that uploading the cost items and unit prices into cost estimation software in advance is critical to automating cost estimations in BIM. (C) 2016 Elsevier B.V. All rights reserved.
Ontology-Based Approach to Context Representation and Reasoning for Managing Context-Sensitive Construction Information
(2011-09-01)
Wang, Han-Hsiang
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Boukamp, Frank
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Elghamrawy, Tarek
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土木工程學系
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Department of Civil Engineering
The construction industry is an information-intensive industry and heavily relies on documents, including physical and virtual documentation and models, to exchange context-sensitive information among different project participants. Many research efforts have been made to help manage construction information; however, few of them considered the context-sensitive nature of the information. In this paper, the writers propose a new approach to facilitate the management of context-sensitive construction information that is stored in different textual documents. The approach addresses the context-sensitive nature of construction information by representing contexts in ontologies and by using contexts as indices of the information. The approach also presents a reasoning mechanism that leverages the semantically rich features of ontologies to reason about contexts to evaluate their applicabilities. Two case studies were conducted, and the results showed the proposed approach can effectively retrieve, classify, and manage construction information. Finally, the writers discuss the limitations of the proposed approach and future research directions. DOI: 10.1061/(ASCE)CP.1943-5487.0000094. (C) 2011 American Society of Civil Engineers.
Ontology-Based Representation and Reasoning Framework for Supporting Job Hazard Analysis
(2011-11-01)
Wang, Han-Hsiang
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Boukamp, Frank
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土木工程學系
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Department of Civil Engineering
Job hazard analysis (JHA) is a process of identifying potential hazards for each step of an activity and proposing safety rules to prevent potential incidents related to these hazards. In the United States, the Occupational Safety and Health Administration (OSHA) recommends performing JHA for construction activities to highlight and react to potential hazards. JHA commonly requires brainstorming sessions to identify steps and associated hazards within construction activities. A company's personnel involved in JHAs rely on their experience-and often also on the company's internal knowledge represented in the form of safety rules. However, the complexity and time-consuming nature of JHA prevent safety personnel from adjusting JHAs quickly when changes in the construction methods and the schedule are made. This paper presents a framework aiming to improve access to a company's JHA knowledge. The framework uses ontologies for structuring knowledge about activities, job steps, and hazards. It also includes an ontological reasoning mechanism for identifying safety rules applicable to given activities. The framework has been validated through several test cases using real JHA documents. The results of the validations are discussed, and conclusions for future research are drawn. DOI: 10.1061/(ASCE)CP.1943-5487.0000125. (C) 2011 American Society of Civil Engineers.
USING DATA ENVELOPMENT ANALYSIS TO SUPPORT BEST-VALUE CONTRACTOR SELECTION
(2016-02-17)
Yang, Jyh-Bin
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Wang, Han-Hsiang
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Wang, Wei-Chih
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Ma, Shin-Min
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土木工程學系
Selecting an appropriate contractor or supplier is essential to the successful implementation of a public procurement project. The Taiwan government frequently applies the best-value (BV) tendering method, a multi-criteria evaluation method, to procure projects. However, the selection process of the winner for a BV-based procurement project is generally subjective and thus is easily accused of corruptions. To develop a systematic method to support contractor selection, this study proposes using the Data Envelopment Analysis (DEA) to facilitate the criteria evaluations for each bidder during the short-listing stage. The evaluation results of using the DEA are a list of potential BV winners who are then suggested to enter into the final selection stage. Based on three case studies related to service procurement projects, this research finds that the DEA is suitable of assessing the relative efficiencies among bidders when the BV approach is applied. Lessons learned here should be helpful in applying the DEA to aid bid evaluations in other supplier selection problems.