• International conference on construction engineering and project management
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• 2017.10a
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• pp.252-259
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• 2017

Nowadays, the existing manual method for recording actual progress of the construction site has some drawbacks, such as great reliance on the experience of professional engineers, work-intensive, time consuming and error prone. A method integrating computer vision and BIM(Building Information Modeling) is presented for indoor automatic progress monitoring. The developed method can accurately calculate the engineering quantity of target component in the time-lapse images. Firstly, sample images of on-site target are collected for training the classifier. After the construction images are identified by edge detection and classifier, a voting algorithm based on mathematical geometry and vector operation will divide the target contour. Then, according to the camera calibration principle, the image pixel coordinates are conversed into the real world Coordinate and the real coordinates would be corrected with the help of the geometric information in BIM model. Finally, the actual engineering quantity is calculated.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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• pp.646-646
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• 1994

• International conference on construction engineering and project management
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• 2005.10a
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• pp.491-496
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• 2005

In this paper, the authors explained the overview of a method for detecting location of worker for development of a monitoring system for project progress management using RFID technology. Data is the RSSI (Receive Signal Strength Indication) from RFID tag attached to the worker installing a rolling shutter, and was obtained from antennas and RFID readers set around the construction site. Neural network was done using RSSI collected and the area where worker is performing a task, and an estimation model of the working area was prepared. The network had a range of the percentage of correctly classified from 62% to 92%. The authors suggested the method to make estimate by using integrated networks prepared in respect of RFID readers, and showed the percentage of correctly classified of 84.3%. According to the result, the authors confirmed the possibility of the monitoring system with RFID technology, and mentioned the factors necessary to develop for further practical use.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.60-61
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• 2016

The specialty of Construction Manager's work is largely depends on the project progress stage and the type of management work. However, at present, career management system manages only the type and duration of the construction project, disregarding specialty and competence. However, in order to select a right construction manager for the client's needs or project characteristics, career management should be subdivided and managed according to the project progress stages or the types of management. In addition, this career management plan is essential for construction managers to receive appropriate wages for their careers and competences. Therefore, this study proposes a classification system for the integration of career, work, and competency to promote effective career management.

• Korean Journal of Construction Engineering and Management
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• v.12 no.1
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• pp.73-84
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• 2011

This study represents construction progress management model based on quality inspection process in addition to cost-schedule integration. Quality inspection process cycle, resource estimate as progress measurement parameter, hierarchical structure of schedule, and inspection lots linking quality inspection to resource estimate are addressed as four main information areas. The authors established several process models to give a structure and correlations among information elements on each of these areas. Applying the process models proposed, an information system was implemented and utilized for nuclear power plant construction. It reveals that the system achieves accurate and objective progress information in near real time with significantly reduced time and effort as well as administrative efficiencies from making quality inspection process online.

• Korean Journal of Construction Engineering and Management
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• v.13 no.1
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• pp.77-86
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• 2012

Progress measurement provides project participants with valuable information in terms of 'current status', 'corrective countermeasure', and 'forecast of future risks'. However, the managerial effort (or workload) required to acquire and maintain detailed progress data has been the major barrier to practical implementation. Even though recent efforts in utilizing data acquisition technologies (DATs) have actively attempted to automate the progress measurement process, previous DAT research has only been focused on limited construction tasks or selected technologies. This paper proposes a DAT selection algorithm that automatically assign an appropriate DAT for every commodity item for an entire constriction project. Five different criteria were identified and developed in order to comprehend specific requirements for automating the progress measurement of each commodity group. A case-study and also a survey from practitioners were conducted in order to validate the proposed methodology.

• Korean Journal of Construction Engineering and Management
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• v.4 no.3 s.15
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• pp.137-145
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• 2003

The project control system based on the actual values of three objects shall be operated continuously in a timely manner. For collecting/tracking accurate actual performance data, a reasonable basis of measuring work performance and its related measuring methods are needed. Therefore, this research proposes a method of developing and operating the construction progress measurement system. The problem of the conventional method is the difficulty to construct control accounts and to define the basis of measuring the performance of each control account. Therefore, this research proposes the preferable, formal methodology that produces the progress value of the smallest work unit by surveying the installed quantities and estimates percent complete of groups of works or entire project by earned value concept. This research in connection with the hereafter research of the weight value of control accounts will contribute to apply in practice and to develop the scientific construction management technique in the construction industry. Further researches how to trend and forecast the project using the measured progress value are recommended for putting the prosed system of this research to practical use.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.307-310
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• 2003

Construction projects include risks due to uncertain factors, so it's important to repeatedly evaluate the performance of on-going work in all aspects of the projects. But construction projects are usually managed focusing on the results of projects. Moreover, cost and schedule are managed separately even though the efficiency of integrated management is very high. Recently many researches about cost and schedule integration methods are in progress according to the increasing of interest and EVMS (Earned Value Management System). Though researchers comment and propose many methods, it's hard to find example to apply it to the real project. So, the purpose of this study is to improve a method of construction Progress measurement Based on Earned value Concept by integration of cost and schedule management. It investigates the previous studies, interviews and performs a case study.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.435-439
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• 2010

The purpose of this paper is to design a new management model based on the grill-formed product charscteristic area(PCA) which specify the position of products classified by the level of market and technology. This product characteristic area is composed of 9 cells and the cases sorted by market and technology are analyzed by each cell. Conclusion of this study based on many significant results gained by the various multi-variate analysis is summarized as follows; First, it can be noted that success/failure factor and progress stages are different by each cell. Second, a new management model is designed by combining the Motive Resource, Success/Failure(S/F) factors, and Progress Stages of New Product Development. Third, success products featured a balance between marketing oriented and technically oriented activities. A new attemp that combine S/F factors with development stages by each product cell will be of great usefulness for further study.

• Korean Journal of Construction Engineering and Management
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• v.8 no.4
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• pp.203-213
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• 2007

In the past, several construction projects have exceeded their schedule resulting in financial losses to the owners; at present there are very few methods available to accurately forecast the completion date of a project. These nay be because of unforeseen outcomes that cannot be accounted for earlier and because of deficiency of proper tools to forecast completion date of said project. To overcome these difficulties, project managers may need a tool to predict the completion date at the early stage of project development. Bayesian Inference introduced in this paper is one such tool that can be employed to forecast project progress at all construction stages. Using this inference, project managers can combine an initially planned project progress (growth curve) with reported information from ongoing projects during the development, and in addition, dynamically revise this initial plan and quantify the uncertainty of completion date. This study introduces a theoretical model and proposes a mathematically information-based framework to forecast a project completion date that corresponds with the actual progress data and to monitor the modified uncertainties using Bayesian Inference.