• Journal of the Korean Data and Information Science Society
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• v.22 no.6
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• pp.1123-1135
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• 2011

This paper considers the multivariate integrated process control procedure for detecting special causes in a multivariate IMA(1, 1) process. When the multivariate control chart signals, the special cause will be detected and eliminated from the process. However, when the elimination of the special cause costs high or is not practically possible, an alternative action is to readjust the process with approximately modified adjustment scheme. In this paper, we propose the readjustment procedure after having a true signal, and show that the use of the readjustment can reduce the deviation of a process from the target.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.504-508
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• 2003

Cost and schedule are the major concerns for the successful construction project management. The four dimensional CAD (4D CAD) integrating graphical data and scheduling data has also been an area of research interests for improving construction controls. In order to achieve the benefits from these areas in an integrated way, this study proposes a 4D-EVMS system for the owners. Managerial requirements for cost and schedule control for the owners are identified first. A 4D-EVMS model is then proposed which provides functional flexibility in order to enhance the efficiency of the system. Lessons learned and practical implications are briefly summarize.

• The Korean Journal of Applied Statistics
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• v.21 no.2
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• pp.247-264
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• 2008

This paper considers the integrated process control procedure for detecting special causes in an ARIMA(0,1,1) process that is being adjusted automatically after each observation using a minimum mean squared error adjustment policy. It is assumed that a special cause can change the process mean and the process variance. We derive expressions for the process deviation from target for a variety of different process parameter changes, and introduce a control chart, based on the generalized likelihood ratio, for detecting special causes. We also propose the integrated process control scheme bases on the future loss. The future loss denotes the cost that will be incurred in a process remaining interval from a true out-of-control signal.

• Communications for Statistical Applications and Methods
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• v.16 no.3
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• pp.429-436
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• 2009

This paper considers the integrated process control procedure for detecting special causes in an IMA(1,1) process that is being adjusted automatically after each observation using a minimum mean squared error adjustment policy. When the control chart signals after the occurrence of a special cause, the special cause will be detected and eliminated from the process by the rectifying action. However, when the elimination of the special cause costs high or is not practically possible, an alternative action is to readjust the process with appropriately modified adjustment scheme. In this paper, we propose the readjustment procedure after having a true signal, and show that the use of the readjustment can reduce the deviation of a process from the target.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.105-110
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• 2006

It is more effective and more efficient to manage schedule and risk at a same time because many risks occur in construction phase in building construction projects. The objective of this paper is to propose a tool that manages risks in a project management software. The tool is implemented by VBA in Microsoft Project, and enables field managers of a construction project to make schedules and to help to predict risks.

• Korean Journal of Construction Engineering and Management
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• v.1 no.4 s.4
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• pp.82-90
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• 2000

An integrated cost and schedule control is a noteworthy alternative of the separate control method which is commonly used in the domestic construction industry. In Korea, some cost and schedule integration models have been applied partly by construction managers. But, these models have not been customized yet because they did not reflect the characteristics of the domestic construction industry. This study investigates the characteristics of domestic integration models analyzed through interviews with experts who have the experiences in applying cost-schedule integration models. Based on these surveys, this study suggests the strategy for the improvement of work packaging model in the domestic construction industry.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1275-1283
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• 2013

This paper considers the multivariate integrated process control procedure for detecting special causes in a multivariate IMA(1, 1) process. When the multivariate control chart signals, the special cause will be detected and eliminated from the process. However, when the elimination of the special cause costs high or is not practically possible, an alternative action is to readjust the process with approximately modified adjustment scheme. In this paper, we estimate parameters in the readjustment procedure after having a true signal in the multivariate integrated process control.

• Communications for Statistical Applications and Methods
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• v.17 no.3
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• pp.357-365
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• 2010

This paper considers the integrated process control procedure for detecting special causes in an IMA(1,1) noise process that is being adjusted using a minimum mean squared error adjustment. As a SPC procedure, we use a GLR chart for detecting special causes whose effects are the sustained shift or the sustained drift in the process mean, and the sustained shift in the process variance. For the design of the GLR chart, we derive expressions for the control limit which accurately satisfies the given in-control ARL.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.841-852
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• 2010

An integrated process control (IPC) procedure is a scheme which simultaneously applies the engineering control procedure (EPC) and statistical control procedure (SPC) techniques to reduce the variation of a process. In the IPC procedure, the observed deviations are monitored during the process where adjustments are repeatedly done by its controller. Because the effects of the noise, the special cause, and the adjustment are mixed, the use and properties of the SPC procedure for the out-of-control process are complicated. This paper considers efficiency of EWMA charts for detecting special causes in an ARMA(1,1) noise model with a minimum mean squared error adjustment policy. And we propose the readjustment procedure after having a true signal. This procedure can be considered when the elimination of the special cause is not practically possible.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.500-503
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• 2003

Considering that our construction market is recognizing the necessity of EVMS(Earned Value Management System) and that the EVMS will be applied to the construction projects with large scale. the suggested methodologies to link WBS(Work Breakdown Structure) with EVMS results and the developed web-based EVMS can be a tentative system for practical application.