Developing a Risk Management Process for Infrastructure Projects Using IDEF0

Tserng, H. Ping; Cho, I-Cheng; Chen, Chun‐Hung; Liu, Yu-Fan

doi:10.3390/su13126958

Cited by 12 publications

(3 citation statements)

References 34 publications

(40 reference statements)

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“…Risk identification is an iterative process, as new risks may be identified and discovered as the project progresses through its lifespan [16]. In order to identify the risks, several methods have been proposed, including interviews, hypothesis analysis, document review, the Delphi technique, brainstorming, graphing methods [26], Artificial Neural Network (ANN) [27], Failure Mode and Effects Analysis (FMEA) [28], Cross Analytical-Machine Learning models [29], and the Integration Definition for Function Modeling (IDEF0) process [30]. In the risk identification phase, the risks affecting the objectives should be prioritized and the impact of risks that do not affect the objectives should be avoided [12].…”

Section: Perceived Risks Of Crcbpsmentioning

confidence: 99%

Identification and Prioritization of Critical Risk Factors of Commercial and Recreational Complex Building Projects: A Delphi Study Using the TOPSIS Method

et al. 2021

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Construction development of Commercial and Recreational Complex Building Projects (CRCBPs) is one of the community needs of many developing countries. Since the implementation of these projects is usually very costly, identifying and evaluating their Critical Risk Factors (CRFs) are of significant importance. Therefore, the current study aims to identify and prioritize CRFs of CRCBPs in the Iranian context. A descriptive-survey method was used in this research; the statistical population, selected based on the purposive sampling method, includes 30 construction experts with hands-on experience in CRCBPs. A questionnaire related to the risk identification stage was developed based on a detailed study of the research literature and also using the Delphi survey method; 82 various risks were finally identified. In order to confirm the opinions of experts in identifying the potential risks, Kendall’s coefficient of concordance was used. In the first stage of data analysis, qualitative evaluation was performed by calculating the severity of risk effect and determining the cumulative risk index, based on which 25 CRFs of CRCBPs were identified for more accurate evaluation. At this stage, the identified CRFs were evaluated based on multi-criteria decision-making techniques and using the TOPSIS technique. Results show that the ten CRFs of CRCBPs are external threats from international relations, exchange rate changes, bank interest rate fluctuations, traffic licenses, access to skilled labor, changes in regional regulations, the condition of adjacent buildings, fluctuations and changes in inflation, failure to select a suitable and qualified consultant, and employer’s previous experiences and records. Obviously, the current study’s results and findings can be considered by CRCBPs in both the private and public sectors for proper effective risk identification, evaluation, and mitigation.

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Section: Perceived Risks Of Crcbpsmentioning

confidence: 99%

Identification and Prioritization of Critical Risk Factors of Commercial and Recreational Complex Building Projects: A Delphi Study Using the TOPSIS Method

et al. 2021

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“…Compared with the above research, resilience assessment is more dynamic and better suited to deal with complex systems after uncertain disruptions [17][18][19], and has developed rapidly in the past decade in the CINs domain. Research on CINs' resilience can be roughly divided into the probabilistic analysis method, the expert judgment method, and the performance response function (PRF) method [20].…”

Section: Introductionmentioning

confidence: 99%

Methodology for Resilience Assessment of Oil Pipeline Network System Exposed to Earthquake

Chen

Zeng

et al. 2023

Sustainability

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The oil pipeline network system (OPNS) is an essential part of the critical infrastructure networks (CINs), and is vulnerable to earthquakes. Assessing and enhancing the resilience of the OPNS can improve its capability to cope with earthquakes or to recover the system’s performance quickly after the disturbance. This study defines the concept of OPNS resilience in the resistive ability, the adaptive ability, and the recovery ability. Then, the quantitative resilience assessment model is established considering the earthquake intensities, the role of safety barriers, the time-variant reliability, and the importance coefficient of each subsystem via a Monte Carlo simulation. Combining the model with GIS technology, a new methodology to evaluate OPNS resilience is proposed, and the resilience partition technology platform is developed, which can visualize the results of the resilience assessment. Finally, a case study is implemented to demonstrate the developed methodology, and a discussion is provided to identify the sensitive variables. The proposed resilience methodology can provide a framework for the probabilistic resilience assessment of OPNS, and could be expanded to other lifeline network systems.

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“…Obstacles to project implementa_on affect work results, thereby reducing project produc_vity (Irsyad et al, 2022;Per=wi, 2017;Puteri et al, 2022;Satriaputri & Cahyadi, 2016;Su & Khallaf, 2022). Risks that arise must be controlled through risk analysis that affects project performance with risk iden_fica_on and mi_ga_on plans during planning and control/monitoring during project implementa_on (Amoatey et al, 2015;Rahmayan= et al, 2020;Tserng et al, 2021;Wibowo & Kochendoerfer, 2011). Project risk management, as in PMBOK, is one of its 9 knowledge areas, having 6 project risk management processes.…”

mentioning

confidence: 99%

Analysis of the Effect of Time and Cost Performance Risk of Toll Road Project Based on the Principle of Project Management Body of Knowledge

Noor,

Dwiatmoko,

Amin

2024

AJESH

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Toll road facilities are needed by the community to improve economic standards with adequate mobility. Toll Road Projects often have delays in the implementation schedule which results in increased project costs. This study aims to determine the effect of the risk of increasing costs on toll road projects caused by delays in project implementation time based on PMBOK guidelines. This research is based on the object of the Japek II Selatan Package III Toll Road project and studies journal literature, surveys, and questionnaires using the SEM Smart PLS program. The effect of risk on cost performance is variable due to the lack of project land readiness. Based on project data from the contract, it was supposed to be completed in December 2020 but was pushed back to mid-2024 estimates. The effect is due to an increase in costs, with a percentage of 2%; in this study, the factor of implementing K3 Projects is in the form of work accident costs. The analysis of SEM PLS shows the effect of time and cost performance on the Planning and Implementation of land readiness indicators, unit price increase, project K3 implementation, and risk management implementation. The study concludes that the risk of increasing costs includes poor planning, which is hampered by land readiness and results in delays in implementation time and year differences that cause changes in material unit prices, resulting in an increase in project costs. Risk Management, as stated in the PMBOK guidelines on Toll Road Projects, must be implemented to reduce the impact of the risk of increasing project costs.

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Developing a Risk Management Process for Infrastructure Projects Using IDEF0

Cited by 12 publications

References 34 publications

Identification and Prioritization of Critical Risk Factors of Commercial and Recreational Complex Building Projects: A Delphi Study Using the TOPSIS Method

Identification and Prioritization of Critical Risk Factors of Commercial and Recreational Complex Building Projects: A Delphi Study Using the TOPSIS Method

Methodology for Resilience Assessment of Oil Pipeline Network System Exposed to Earthquake

Analysis of the Effect of Time and Cost Performance Risk of Toll Road Project Based on the Principle of Project Management Body of Knowledge

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