On-line control model for network construction projects

1997 ◽  
Vol 48 (2) ◽  
pp. 175-183
Author(s):  
D Golenko-Ginzburg ◽  
A Gonik
2011 ◽  
Vol 28 (8) ◽  
pp. 1064-1078 ◽  
Author(s):  
Maria Elena Bruni ◽  
Patrizia Beraldi ◽  
Francesca Guerriero ◽  
Erika Pinto

PurposeThe purpose of this paper is to address the problem of scheduling under uncertainty in construction projects. The existing methods for determining a project schedule are based on assumption of complete knowledge of project parameters; but in reality there is uncertainty in construction projects, deriving from a multitude of context‐dependent sources and often provided as outcome of a risk analysis process. Thus, classical deterministic analysis might provide a schedule which is not sufficiently protected against possible disruptions.Design/methodology/approachA quantitative methodology is developed for planning construction projects under uncertainty aimed at determining a reliable resource feasible project schedule by taking into account the available probabilistic information to produce solutions that are less sensitive to perturbations that occur on line. The methodology relies on a computer‐supported system that allows to identify, analyze and quantify the schedule reliability and the impact of possible disruptions on the duration of the project.FindingsIt is found that the proposed methodology can exploit more information about the uncertain parameters than the commonly‐used deterministic method, and it provides an improved understanding of the schedule reliability in presence of uncertainty. The schedule generated with a classical deterministic method sets a completely unrealistic planned project delivery date of about 1,250 days, with a probability around 50 per cent to be exceeded. This behavior can be very unsatisfactory for construction projects for which high penalties are usually associated to heavy due date violations.Originality/valueThis paper presents an approach for robust scheduling of construction project problem under uncertainty. We provide a tool able to support managers in developing a workable and realistic project schedule to be used as a guideline for project control and monitoring.


1999 ◽  
Vol 123 (3) ◽  
pp. 528-532 ◽  
Author(s):  
Lienjing Chen ◽  
Robert J. Stango ◽  
Vikram Cariapa

In this paper a force-control model is developed for edge deburring with filamentary brushes. The model is based upon experimentally obtained “master curves,” that is, material removal data that corresponds to the actual machining performance of the brush/workpart system during the incremental burr removal process. This information is used in conjunction with the on-line brush machining force to compute the brush feed rate that ensures complete removal of the edge burr. Computer simulated results are reported for the removal of an edge burr having unknown variable height. The results indicate that the present force-control model can provide a straight forward approach for computing brush feed rates that lead to complete removal of edge burrs, and suggests that implementation can be carried out using a force sensor and a simple control strategy.


2017 ◽  
Vol 26 (2) ◽  
pp. 241-249 ◽  
Author(s):  
Jarosław Górecki ◽  
Jadwiga Bizon-Górecka ◽  
Karol Michałkiewicz

A paper focuses on analyzing the impact of Big Data (BD) on minimizing the risk in investment and construction projects. The work presents the aspects of risk occurring during the execution of the construction project. It presents an on-line survey which was aimed at knowing the opinion of Polish construction companies on the BD, and checking their readiness to implement technologies supporting manipulation of the data. It was underlined that results of the BD analysis provide a powerful tool for risk management, however, it is hardly noticed by the Polish respondents.


2013 ◽  
Vol 431 ◽  
pp. 365-369
Author(s):  
Bi Lin Shao ◽  
Li Qing Wang ◽  
Qiong Wu

According to the characteristics of construction project, it set the third level of duration implicit cost, deepening the understanding of the duration implicit cost in construction project. Through analyzing the similar characteristics of the technique of project network diagram and neural network, it built a duration implicit cost control model based on neural network, which can adjust the project network diagram to the optimization direction. Aiming at the defects of the traditional neural network, the variable learning rate back-propagation arithmetic and the additional momentum method were introduced, and the duration implicit cost control model was built, improving the accuracy of the control for the neural network technique.


1996 ◽  
Vol 47 (2) ◽  
pp. 266 ◽  
Author(s):  
Dimitri Golenko-Ginzburg ◽  
Aharon Gonik

2007 ◽  
Vol 24 ◽  
pp. 835-842
Author(s):  
Nobuhiro UNO ◽  
Hiroki AWATA ◽  
Fumitaka KURAUCHI

2011 ◽  
Vol 299-300 ◽  
pp. 1291-1294
Author(s):  
Xiao Li Lu ◽  
Dian Chao Wang

This paper built a road network evaluation system on the basis of the theory and methods of road network construction projects, and then established WPDEA model for it. This model was applied in Dalian city, and the results indicated that the road network matched the social-economic in some years, but it didn’t match in outher years.


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