An Ontology-based Approach to Support Cause and Effect Analysis for Construction Industry

• Main Authors: Kuan-Ching Wang, 王冠晴
• Other Authors: 王翰翔
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/n7hdfj

碩士 === 國立中央大學 === 營建管理研究所 === 106 === Quality management is one of the important goals in the construction industry, and the quality degree of the project depends on whether the owner’s needs and various regulatory requirements are met in the project or not. Cause and effect (CE) analysis is one of the tools and techniques for quality management. It is widely used in construction quality management practices for identifying all possible causes associated with a particular problem. CE analysis requires participation and brainstorming of domain experts and experienced practitioners; however, such a brainstorming session is usually time-consuming and labor-intensive, making the CE analysis process inefficient. Therefore, this research project aims at improving the efficiency and effectiveness of performing CE analysis by proposing an ontology-based approach to formally organize and reason about the CE analysis knowledge of domain experts and practitioners to benefit the reutilization of the knowledge. The following steps will be taken to execute this research project: understanding and analyzing the features and compositions of CE analysis knowledge; establishing a CE analysis knowledge base with ontological modeling technique; creating a prototype system for reasoning about and retrieving CE analysis knowledge from the knowledge base; and collecting real CE analysis cases from the industries to validate the proposed approach and to demonstrate the pros and cons of the approach. The expected results of this research project include.