Selection of risk response actions considering risk dependency

Zhang, Yao; Zuo, Fei

doi:10.1108/k-05-2016-0096

Cited by 20 publications

(15 citation statements)

References 40 publications

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“…Schragenheim suggested that the length of buffer time can be divided into three sections: negligible zone, alert zone and accelerative zone, the length of each zone is equal [47]. The size of each zone is allocated equally according to Equations ( 1)- (3). The constraint buffer is shown in the following Equation (10).…”

Section: Constraint Buffer Management Of Activitiesmentioning

confidence: 99%

“…Therefore, these uncertain factors would become bottlenecks to reduce project schedule uncertainty. However, owing to the correlation [1,2], transmission [3] and nonsuperposition [4] among these risk factors, project managers cannot fully take into account the impact of uncertain factors on activities [5]. In particular, the way the uncertainty is managed in the project and risk management havea direct influence on the success of a project.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

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Estimating the Probability Distribution of Construction Project Completion Times Based on Drum-Buffer-Rope Theory

2021

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Various factors affecting the construction progress are regarded as bottlenecks giving rise to the project duration overrun. The contractor should combine the project schedule with the plan in order to reduce the uncertainty of the project activities. The present research describes the method derived from the theory of constraints (TOC) attempts to enhance the relationship among activities, to revise and further reduce the uncertainty of construction activities to improve the reliability of project progress. The elements of drum, buffer and rope (DBR) in TOC are added to PERT network schedule; through the identification of schedule in the bottleneck process, the implementation plan of the bottleneck is obtained. By measuring buffer time and calculating network schedule buffer time as well as feeding time, the relationship among activities and uncertainty of duration are also improved. To illustrate the impact of DBR applications on improving project schedule reliability, a case of hydropower station as an example is illustrated to show enhanced reliability of scheduling. As compared to program evaluation and review technique network (PERT) simulation, the simulation results showed that the uncertainty of construction progress could be reduced if the DBR are well cooperated mutually.

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Section: Constraint Buffer Management Of Activitiesmentioning

confidence: 99%

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Estimating the Probability Distribution of Construction Project Completion Times Based on Drum-Buffer-Rope Theory

2021

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“…After that the gray scaled image is fed into the trained neural network in order to remove any existing noise by using feed-forward De-noising Convolution Neural Network (DnCNN) [19], as shown in figure 3.a.…”

Section: Preprocessingmentioning

confidence: 99%

“…After that, the image is converted to gray scale and sharpened [17][18]. Finally, the image is de-noised by using a convolution neural network [19]. The second phase is called the segmentation phase that applies the contour without edges technique [20] on the enhanced MRI image from the preprocessing phase.…”

Section: Introductionmentioning

confidence: 99%

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Automatic Intrahepatic Biliary Segmentation Based Image Processing Techniques using Magnetic Resonance Images

Aloudat¹,

Oudat²,

Migdady³

et al. 2020

Preprint

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A set of tubes known as bile ducts connects the liver to an organ below it directly that is called Gallbladder. The dilation of a bile duct is an important indicator regarding any serious issue in the human body. Number of reasons may cause bile duct dilation, such as: stones, tumors which commonly occur due to pancreas or papilla of vater. In this paper, the main contributions are: 1) a novel framework that consists of three phases to be applied on a set of Magnetic Resonance Imaging (MRI) images 2) an extracted set of features with their accurate values that express the condition of the biliary trees from the MRI images. Such dataset can be used in several applications to determine whether a bile duct is dilated or not. The dataset is organized as the following: half of the MRI images are for normal bile ducts, while the other half is for dilated bile ducts. To extract the useful features to diagnose the medical condition of the bile ducts from the MRI images, we implemented and applied the proposed framework that is started by using the enhanced active contour technique without edges in combination with Denoising Convolutional Neural Networks (DnCNN) to perform the segmentation and features extraction process. After that, the output of the segmentation process is the segmented biliary tree that will be used later to extract the needful features to make a diagnostic decision whether there is a dilation or not by comparing the features values of the normal versus the dilated bile ducts. We applied the feed forward neural network with backpropagation training algorithm for classification purposes. According to the experiments, the overall accuracy of the proposed framework was 90.00%. Such approach improves and increases the accuracy of the physicians’ diagnostic decisions which is considered as of significant importance for treatment and cure.

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Risk response budget allocation based on fault tree analysis and optimization

2023

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Budget allocation in project risk response is a vital issue in project risk management since it relates to a reasonable utilization of strict project budgets and effective mitigations of the risks that typify projects. This paper presents an integrated method based on an optimization model and fault tree analysis for allocating a risk response budget from a preventive and protective perspective. The proposed method consists of three main steps. The first step is to analyse and calculate risk probabilities and risk losses which involves identifying risk causes that may trigger a risk event to occur using fault tree analysis. It also identifies consequences once the risk event occurs, evaluates the occurrence probabilities of risk causes and expected financial losses of consequences. The second step is to build a relationship between the budget allocated to risk response strategies and the corresponding response effects. The third step is to construct an optimization model aiming at minimizing the total risk cost. We present proofs for the optimal risk response strategy in special cases of the budget allocation model. Furthermore, a detailed computational experiment is performed to gain insights into the threephased budget allocation model for more general cases. The results show that an optimal risk response budget can be determined and the structure of the risk network has a significant impact on the preferred risk response strategy.

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Selection of risk response actions considering risk dependency

Cited by 20 publications

References 40 publications

Estimating the Probability Distribution of Construction Project Completion Times Based on Drum-Buffer-Rope Theory

Estimating the Probability Distribution of Construction Project Completion Times Based on Drum-Buffer-Rope Theory

Automatic Intrahepatic Biliary Segmentation Based Image Processing Techniques using Magnetic Resonance Images

Risk response budget allocation based on fault tree analysis and optimization

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