The research described in this paper implements a U.S. Department of Defense protocol entitled contractor integrated technical information service (CITIS) in a construction industry application to provide an electronic communication environment for sharing construction information among project participants. CITIS is a contractor-developed service that provides electronic access to and (or) delivery of contractual data to users. For the implementation of the CITIS concept in the construction industry, this research performs process and data modeling on a road construction project, then implements and tests a prototype. This article also introduces an overall procedure to implement the concept of CITIS in construction and identifies some challenges such as the limitations in performing process modeling in the public sector, specifically public road construction projects, the lessons learned, and suggestions in overcoming these difficulties.Key words: construction management, continuous acquisition and life cycle support, contractor integrated technical information service.
To maintain railway facilities in an appropriate state, systematic management based on mid- and long-term maintenance plans through future performance prediction must be carried out. To this end, it is necessary to establish and utilize a model that can predict mid- to long-term performance changes of railway facilities by predicting performance changes of individual sub-facilities. However, predicting changes in the performance of all sub-facilities can be difficult as it requires large volumes of data, and railway facilities are a collection of numerous sub-facilities. Therefore, in this study, a framework for a model that can predict mid- to long-term performance changes of railway facilities through analysis of continuously accumulated performance evaluation results is proposed. The model is a system with a series of flows that can classify performance evaluation results by individual sub-facilities, predict performance changes by each sub-facility using statistical methods, and predict mid- to long-term performance changes of the facility. The developed framework was applied to 36,537 sub-facilities comprising 12 lines of two urban railways in South Korea to illustrate the model and verify its applicability and effectiveness. This study contributes in terms of its methodology in establishing a framework for predicting mid- to long-term performance changes, providing the basis for the development of an automated model able to continuously predict performance changes of individual sub-facilities. In practical terms, it is expected that railway facility managers who allow trade-off between reliability and usability can contribute to establishing the mid- to long-term maintenance plans by utilizing the model proposed in this study, instead of subjectively building them.
Currently, construction engineering industry of high value and rapid growing has been viewed as a future oriented industry. Thus, compared to other industries, its analysis system for business trend seems insufficient. This research has developed a business survey index model targeted for construction engineering industries, and business trends for 4/4 quarter of 2011 as well as 1/4 quarter of 2012 were surveyed as important traits were analyzed. Business Survey Index of Construction Engineering has been constructed in form of an index in order to accurately judge different economic states of the industry such as funding areas, human resources, payability, ordering scale, status of domestic and foreign markets, Difficulties in Management, and improvements in policies. In the future, CEBSI will not only be applied on the construction engineering industry, but it will also be used as the economic state of all construction industries as well as the prospect data. Thus, it will be utilized as basic resources that can establish systematic and accurate policies.
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