Practical evaluation of an intelligent knowledge-based project control system

Author(s):  
T.J. Barber ◽  
J.T. Boardman ◽  
N. Brown
2019 ◽  
pp. 227-295
Author(s):  
Adedeji B. Badiru

2004 ◽  
Vol 22 (2) ◽  
pp. 109-118 ◽  
Author(s):  
Shai Rozenes ◽  
Gad Vitner ◽  
Stuart Spraggett

2020 ◽  
Vol 10 (5) ◽  
pp. 693-708
Author(s):  
Wei Hu ◽  
Kamalesh Panthi

PurposeSuccessful performance and execution of construction projects depend highly on a good project control system capable of tracking and reporting project status on a desired time interval. The purpose of this paper is to propose such a control system by integrating spreadsheet and Visual Basic for Application to produce a customized tracking system for Pipeline Relocation Programs under Engineering, Procurement and Construction Management (EPCM) contracts.Design/methodology/approachThe project status reporting system (PSRS) proposed here was developed to produce a single page summary report that would include scope information, financial status, descriptive status updates and top-level task schedules. This information is retrieved from various sources and transformed further utilizing specific formulas and algorithm needed to compute the budget and schedule status of the pipe relocation project. A practical case study is used to demonstrate its unique application.FindingsThe system has successfully integrated project finance and schedule information into a central control hub. Financial and schedule performance of a project is tracked and monitored by the PSRS automatically.Originality/valueThe proposed system utilizes the powerful computing capability of MS Excel and the user-friendly VBA programming tool to customize the reporting needs of a project and program environment. The proposed system, whose functionality has been validated by the intended users, tries to achieve a balance between simplicity, accuracy and effectiveness for the flow of information at a much lower cost compared to the other readily available project control software.


Author(s):  
ZHIYING HU ◽  
CHRISTINE W. CHAN ◽  
GORDON H. HUANG

This study describes the development of a dynamic knowledge-based reasoning-enhanced model predictive control system (KBRECS) for in-situ bioremediation processes. The automated control system balances the complex physical, chemical, and biological processes involved in the remediation process while minimizing overall cost of the entire remediation process. The control system includes an optimization subsystem and a monitoring subsystem. The optimization subsystem consists of a simulation model supported by an optimization function which is designed to generate a series of optimal control actions. The monitoring subsystem is a knowledge-based system which is designed to monitor and adjust the online control actions. The numerical simulation model describes the fate and transport of the subsurface contaminants. The optimization function is a constrained, nonlinear function that has been implemented using a genetic algorithm (GA). Intermediate genetic algorithm individuals are indexed and stored in the knowledge base, thereby reducing search times for values to replace the unqualified schemes used by the monitoring subsystem. The system was applied to a lab experiment and compared with the control system presented in [9]. The results indicated that the knowledge based reasoning system enhanced the control system by generating an appropriate control strategy and adjusting control actions promptly. This helps to enhance efficiency in control of the in-situ bioremediation process at petroleum-contaminated groundwater systems.


1997 ◽  
Vol 30 (25) ◽  
pp. 183-188
Author(s):  
Ramin Mohajeri ◽  
Ali. R. Mirhosseini ◽  
Fergus R. Fricke

2004 ◽  
Vol 22 (1) ◽  
pp. 35-46 ◽  
Author(s):  
Osama Moselhi ◽  
Ji Li ◽  
Sabah Alkass

Author(s):  
Ruveyda Komurlu ◽  
Akin Er

Cost control is a part of cost management which is carried out by the project owner and the contractor throughout a project. However, the structures of the control function developed by each party generally differ since the purpose of the function and the level of the structure are not exactly the same. Contractors have several advantages while building a cost control system such as more detailed information about the project, more background, more dedicated personnel, specifically developed software etc. Therefore, contractors have a broader vision on the issue. Owners need to utilize cost control systems not only for common reasons but also due to some specific necessities. Unlike contractors, owners have to capitalize projects just before they put their investments into operation. This paper intends to focus the necessities prioritized by the owners and contractors on the issue. A comparison will be made to distinguish the differences between the cost perspectives of project owners and contractors. An assessment will be done of the matters that owners pay attention while establishing a cost control structure in light of the experiences practiced in oil and gas projects. Thus, the important points which should be better to consider by the owners' project control teams will be advised.


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