An interactive risk visualisation tool for large-scale and complex engineering and construction projects under uncertainty and interdependence

Kimiagari, Salman; Keivanpour, Samira

doi:10.1080/00207543.2018.1503426

Cited by 24 publications

(10 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The detailed discussion is illustration in further sections. Also, the identified interdependencies among the IMBs enable concerned construction stakeholders to prioritize project risks (Kimiagari and Keivanpour, 2019), task inter-relationships (Fong and Lung, 2007) and the impact of trust on project key performance indicators (Yang and Cheng, 2021). Hence, this research presumes the importance of investigating with this context.…”

Section: Discussionmentioning

confidence: 94%

Determining Interconnectedness of Barriers to Interface Management in Large Construction Projects

Malla

Delhi

2022

CEB

View full text Add to dashboard Cite

This study aims to identify the crucial barriers to interface management and understand the interdependencies in Large Infrastructure Construction Projects (LICP). Three-pronged sequential explanatory mixed methods research is adopted comprising a structured survey of experts (n=102) and semi-structured interviews (n=13). Subsequently, interpretive structural modelling (ISM) integrated with fuzzy protocol is used to analyse pairwise interrelationships among these factors. A ‘Multi-layered IM barrier’ model is developed with ‘Process related issues,’ 'Misaligned incentives among project stakeholders' and 'Frequent Change Orders' as the manifested barriers. On the other hand, this study also prioritized the barriers and classified them as driving, linking, and independent. The outcome of this study presents the interdependence of barriers and classification of barriers, focusing on proactive action on driving barriers, which is crucial to the knowledge of interface management. The impact position of LICP with the identified project issues can be compared against ‘Multi-layered IM barriers’ and can help project teams better strategize IM by focusing on essential barriers. In addition, such exercises can improve the coordination among participants in construction projects. Using a structured approach to identifying interdependencies among barriers to IM is a significant original contribution by the study.

show abstract

Section: Discussionmentioning

confidence: 94%

Determining Interconnectedness of Barriers to Interface Management in Large Construction Projects

Malla

Delhi

2022

CEB

View full text Add to dashboard Cite

show abstract

“…The risk assessment methods that capture the interdependency between the risk events usually employ analytical network process (ANP) (Boateng et al , 2015), network theory (Fang et al , 2012), Bayesian belief network (Cárdenas et al , 2013; Yazdi and Kabir, 2017), simulation (Ou-Yang and Chen, 2017) and artificial neural networks (Barakchi et al , 2017; Kabir et al , 2016; Lee and Kim, 2017). Different other popular multi-criteria decision methods (Li et al , 2013) are also available for specific project to manage the complex risk networking such as FMEA (Lee and Kim, 2017), FTA (Khakzad et al , 2013), ETA (Ferdous et al , 2011), VIKOR (Kahraman et al , 2015), fuzzy set theory (Kimiagari and Keivanpour, 2018), AHP (Al-Harbi, 2001) and TOPSIS (Zegordi et al , 2012) etc., but these methods are not capable of capturing interdependencies between events. Consequently, the above mentioned artificial intelligence methods except ANP do not consider a pair-wise comparison between the criteria and sub-criteria of different events.…”

Section: Research Methodology: Procedural Stepsmentioning

confidence: 99%

Integrated priority decision index for risk assessment in chaos: cost overruns in transport projects

Afzal

Shao

Sajid

et al. 2019

ECAM

View full text Add to dashboard Cite

Purpose Cost overrun is inherent to project chaos, which is one of the key drivers of project failure. The purpose of this paper is to explore the critical elements of complexity-risk interdependency for cost-chaos in the construction management domain by utilizing a multi-criteria decision model. Design/methodology/approach A total of 12 complexity and 60 risk attributes are initially identified from the literature and using expert’s judgements. For the development of a structured hierarchy of key complexity and risk drivers, a real-time Delphi process is adopted for recording and evaluating the responses from experts. Afterwards, a pair-wise comparison using analytical network processing is performed to measure complexity-risk interdependencies against cost alternatives. Findings The findings of the integrated priority decision index (IPDI) suggest that uncertainties related to contingency and escalation costs are the main sources of cost overrun in project drift, along with the key elements such as “the use of innovative technology,” “multiple contracts,” “low advance payment,” “change in design,” “unclear specifications” and “the lack of experience” appear to be more significant to chaos in complexity-risk interdependency network. Research limitations/implications This study did not address the uncertainty and vulnerability exit in the judgment process, therefore, this framework can be extended using fuzzy logic to better evaluate the significance of cost-chaos drivers. Practical implications These results may assist the management of cost overrun to avoid chaos in a project. The proposed model can be applied within project risk management practices to make better-informed technical decisions in the early phases of the project life cycle where uncertainty is high. Originality/value This research addresses the importance of cost overruns as a source of project chaos in dynamic systems where projects reach the edge of chaos and progress stops. A new IPDI index contributes toward evaluating the severity of complexity and risk and their interdependencies which create cost-chaos in infrastructure transport projects.

show abstract

“…collected expertise data from interviews to visualize the risk dependencies on a matrix and formed a hierarchical structure to create a risk map. From a different perspective, Kimiagari and Keivanpour (2018) represented the pairwise comparison of different projects based on their risk scores using area, correlation, and scatterplot matrix charts. In summary, visual presentation of the results of risk analysis dominates the literature on risk communication.…”

Section: Communication and Visualization Of Risk Informationmentioning

confidence: 99%

Empowering Risk Communication: Use of Visualizations to Describe Project Risks

Atasoy

Ertaymaz

Dikmen

et al. 2022

J. Constr. Eng. Manage.

View full text Add to dashboard Cite

Risk information that is used during project risk identification and assessment should be communicated well to enable risk-informed decision-making. This study aims to use risk descriptors for risk contextualization and explore how visualization can improve the communication of project risk information. Risk descriptors (e.g., assumptions, controllability) were identified, and two workshops were held to verify the selected descriptors and explore the effectiveness of visualizations for risk communication. The first workshop was designed to assess the perceptions of different risk experts, and the second workshop was a case study application to evaluate the usability of risk visualization.Qualitative analysis of the first workshop revealed four themes, specifically standardization, representation, customization, and practicality, to be considered during risk visualization. The second workshop confirmed the value-added through the use of visualizations and the usefulness of risk descriptors. While this study does not focus on the best way of delivering the most useful data, it contributes to the existing body of knowledge by characterizing risk descriptors and introducing new insights regarding the use of visualization for communicating and describing risks in projects.

show abstract

An interactive risk visualisation tool for large-scale and complex engineering and construction projects under uncertainty and interdependence

Cited by 24 publications

References 70 publications

Determining Interconnectedness of Barriers to Interface Management in Large Construction Projects

Determining Interconnectedness of Barriers to Interface Management in Large Construction Projects

Integrated priority decision index for risk assessment in chaos: cost overruns in transport projects

Empowering Risk Communication: Use of Visualizations to Describe Project Risks

Contact Info

Product

Resources

About