Bayesian networks in project management: A scoping review

Guinhouya, Kouami A.

doi:10.1016/j.eswa.2022.119214

Cited by 7 publications

(2 citation statements)

References 58 publications

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“…Due to interactions among stakeholders, the task of evaluating the scheduling performance is complicated and ambiguous, and Bayesian networks (BN) are ideal for dealing with complexity and uncertainty in project management. Guinhouya [28] provides a review of how the BN models are used in project management practice, showing that the BN has advantages in the field of performing risk prediction and evaluation analysis for construction and infrastructure. Hasanpour et al [29] applied the BN to assess the interference risk of shielded tunnel shields in unfavorable ground conditions, such as extruded foundations, and indicated that the BN model works well even when the nature of the system is incomplete.…”

Section: Research On Performance Evaluation Methodsmentioning

confidence: 99%

An Index Model for the Evaluation of the Performance of Lock Navigation Scheduling Rules Considering the Perspective of Stakeholders

Li,

Liu,

Wang

2024

Sustainability

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The lock navigation scheduling problem involves multiple stakeholder groups. The game relationship between stakeholders directly affects the sustainable development of regional society and economy. Considering the objectivity and accuracy of social network analysis (SNA) for relationship identification, indicator screening, and system construction, it completes the stakeholder extraction and evaluation index system construction. Considering that the conditional probability of nodes in Bayesian networks (BN) can flexibly and intuitively characterize the direction and strength of the factors’ roles in a complex scenario, this study proposes an index model for the evaluation of the performance of lock navigation scheduling rules. Firstly, build the BN topology under the efficiency, safety, and fairness criteria. Subsequently, an improved composite index method is combined with the BN to determine the evaluation index from the stakeholder perspective. This study takes the Three Gorges locks maintenance scenario as an example. The index evaluation model can accurately identify the direction, trend, and magnitude of the performance of the scheduling rules on the efficiency, safety, and fairness criteria under navigational constraints, realizing the dynamic and quantitative evaluation of the performance of lock navigation scheduling rules during the observation period.

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Section: Research On Performance Evaluation Methodsmentioning

confidence: 99%

An Index Model for the Evaluation of the Performance of Lock Navigation Scheduling Rules Considering the Perspective of Stakeholders

Li,

Liu,

Wang

2024

Sustainability

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“…The Bayesian Network depicted in Figure 7 is a probabilistic graphical model used to represent a set of variables and their conditional dependencies via a directed acyclic graph [30][31][32]. This specific network is designed to evaluate the design of a construction schedule and the potential disruptions affecting it [33][34][35][36][37].…”

Section: Modeling Bayesian Networkmentioning

confidence: 99%

Optimizing Construction Engineering Management Using Metaheuristic Methods and Bayesian Networks

Jakubczyk-Gałczyńska,

Siemaszko,

Poltavets

2024

Applied Sciences

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The construction of buildings invariably involves time and costs, and disruptions impact ongoing construction projects. Crisis situations in management strategies, structural confusion, and financial miscalculations often arise due to misguided decision-making. This article proposes a method that combines the learning of Bayesian Networks and heuristic techniques to optimize decision-making processes in construction scheduling. As an innovative approach in order to enhance construction management, the functioning of biological, molecular, and physical objects and nervous systems is considered, applying bionic features to mimic their efficiency and precision, thereby optimizing construction processes and improving coordination and decision-making. Bayesian Networks are used for probabilistic analysis, and heuristic methods guide quick decision-making. The results demonstrate the effectiveness of Bayesian Networks and heuristic methods in data analysis and decision-making in construction engineering. The developed algorithm can be successfully applied to both erecting and planning construction projects.

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Performance evaluation model for operation research teaching based on IoT and Bayesian network technology

Kong

2024

Soft Comput

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Bayesian networks in project management: A scoping review

Cited by 7 publications

References 58 publications

An Index Model for the Evaluation of the Performance of Lock Navigation Scheduling Rules Considering the Perspective of Stakeholders

An Index Model for the Evaluation of the Performance of Lock Navigation Scheduling Rules Considering the Perspective of Stakeholders

Optimizing Construction Engineering Management Using Metaheuristic Methods and Bayesian Networks

Performance evaluation model for operation research teaching based on IoT and Bayesian network technology

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