Browsing by Author "Dzeng, R. J."

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A study of ontology-based risk management framework of construction projects through project life cycle
(2009-11-01)
Tserng, H. Ping
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Yin, Samuel Y. L.
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Dzeng, R. J.
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Wou, B.
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Tsai, M. D.
The process knowledge assets make a substantial contribution to the risk management (RM) for contractors in the construction phase. To effectively reuse these assets, knowledge extraction becomes a significant research area. This paper was designed to explore an approach to conduct knowledge extraction by establishing project risk ontology. Specifically, the study proposed the ontology-based risk management (ORM) framework to enhance the RM performance by improving the RM workflow and knowledge reuse. The ORM framework facilitated the identification, analysis, and response of project risks. This study validated the ORM framework through a case demonstration. Through the implementation and application, the results demonstrated that the ORM framework was able to apply to the RM workflow for contractors, and more importantly, it greatly increased the effectiveness of project RM. (C) 2009 Elsevier B.V. All rights reserved.
Agents for Supporting Utility Tradeoff of Negotiation between Construction Contractor and Suppliers
(2009)
Dzeng, R. J.
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Pan, N. F.
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Wang, P. R.
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土木工程學系
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Department of Civil Engineering
This research describes a decision-support model that helps business bargainers explore negotiable options for the procurement in the construction industry. The proposed model is consisted of three software agents. One agent supports the contractors' decision by allowing them to input their negotiation preferences, and another supports the suppliers. Either of agents is not aware of the preferences of the other. The third agent plays the role of middle man who receives the proposals from both sides and search for optimal negotiation result in terms of total utility. Compared to the actual agreement specified in the two surveyed project contracts, the negotiation results suggested by the model increased the total utility by as high as 10% based on the preferences of human bargainers.
Automated Posture Assessment for Construction Workers
(2017-01-01)
Dzeng, R. J.
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Hsueh, H. H.
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Ho, C. W.
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土木工程學系
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Department of Civil Engineering
Construction workers often suffer various kinds of musculoskeletal disorders (MSDs), which are injuries in the human musculoskeletal system. MSDs are often aroused due to sudden exertion such as lifting heavy equipment, or repeated and cumulative stressed motions. OWAS (Ovako Working posture Assessment System) may be used to evaluate the exposure of MSDs risk by sampling the snapshots of a worker's postures and categorize the postures. However, tracking and categorizing postures of different body parts by human eyes are tedious work with limited accuracy and easy to make mistakes even with facilitation of video recording. This research develops an automatic tracking and categorizing system, named Posture Assessment System for MSD (PAS-MSD) for OWAS using Microsoft Kinect. The PAS-MSD captures human postures during his/her movement, recognizes human skeleton, and assesses the risk of MSD. An experiment with typical construction activities such as handling and moving of materials, hammering, and tiling was conducted. Except for the hammering activity where the subjects' body parts were easily blocked by the target hammered box and could not be detected by Kinect, the posture identification accuracies for all other activities exceed 90% (i.e., 91.6%-93.9%). The OWAS categorization accuracies are also satisfactory, ranging from 85.4%-88.5%.
Performance Evaluation of Constructed Facilities through Linguistic Judgment
(2009)
Pan, N. F.
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Dzeng, R. J.
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Yang, M. D.
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土木工程學系
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Department of Civil Engineering
It is often difficult to estimate exact probabilities of occurrence of fault events for the use in the conventional fault tree analysis (FTA) when failure data are insufficient or fault events are vague such as human error. A hybrid approach utilizing fuzzy sets and possibility theory is presented to overcome this problem. In the approach, failure possibilities of imprecise events are characterized by fuzzy sets to translate expert subjective judgments while fuzzy fault rates are derived from fuzzy possibility scores based on a modified possibility transformation function. An example of beam failure is presented to demonstrate the capability of the approach that can assist safety engineers to effectively assess fault possibilities and better analyze building performance.