Hybrid Approach to Construction Project Risk Management with Simultaneous FMEA/ISO 31000/Evolutionary Algorithms: Empirical Optimization Study

Rahimi, Yaser; Tavakkoli–Moghaddam, Reza; Iranmanesh, Seyed Hossein; Vaez-Alaei, Maliheh

doi:10.1061/(asce)co.1943-7862.0001486

Cited by 36 publications

(35 citation statements)

References 33 publications

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“…Despite the previous studies that focus on the simple risk calculation methods [39][40][41], the proposed framework introduces the new method to identify and rank the high-level risks imposed on the transportation system of hazardous products for the first time. Also, the reason for using fuzzy FMEA in the proposed procedure is that the efficiency of this tool in risk calculation is proved by many studies before [42][43][44][45]. The following assumptions are considered to formulate the model:  Every vehicle begins its travel from the only available depot and finishes it at the same place.…”

Section: Model Frameworkmentioning

confidence: 99%

A novel fuzzy bi-objective vehicle routing and scheduling problem with time window constraint for a distribution system: A case study

et al. 2020

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In the process of hazardous material transportation, the risk is a significant factor that should be considered due to the potential severe consequence of an incident. Regardless of risks, time is a paramount concern that should be considered in hazardous material transportation. In this way, this paper introduces a bi-objective model for a vehicle routing and scheduling problem of hazardous material distribution problems under the fuzzy condition to minimize both total distribution time and risks. In the proposed model, the fuzzy inference system and fuzzy failure mode and effects analysis are applied to identify and calculate the high-level risks instead of the previous simple methods for the first time. Moreover, Jimenez method and fuzzy goal programming are respectively utilized to convert the fuzzy bi-objective model into the same crisp and single-objective one. Besides, to cope with the NP-hardness of the largesized problems, two meta-heuristic algorithms namely invasive weeds optimization and genetic algorithm is used, and several sensitivity analyses are performed to prove the efficiency of the proposed approach. The performance of the proposed algorithms is also assessed through a comparative study. Finally, the proposed model is implemented to a real case study to prove the validity of the model.

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Section: Model Frameworkmentioning

confidence: 99%

A novel fuzzy bi-objective vehicle routing and scheduling problem with time window constraint for a distribution system: A case study

et al. 2020

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“…FMEA is a well‐known approach that has been implemented in many risk management projects having a variety of scopes. For more information on this approach, see Ahmadi, Behzadian, Ardeshir, and Kapelan (), Rahimi, Tavakkoli‐Moghaddam, Iranmanesh, and Vaez‐Alaei (), and Ershadi and Ershadi (). Although numerous discussions have been generated regarding issues such as project management and risk management, none has attempted to study environmental risk management as one of the most crucial issues involved in the results and performances of projects; instead, most are focused on the conceptual and organizational aspects of risk, and, in general, a comprehensive reflection is not yet made on the relationship between the environmental risk and the project (Cardona, ).…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing the factors affecting environmental risks of projects using a hybrid approach of DEMATEL‐ANP, artificial neural network: A case study

Ershadi

Ashtiyani

2019

Environmental Quality Mgmt

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The increasing growth of the economy in each country necessitates a great amount of investment in infrastructure. The belief that projects involve various uncertainties, such as technical skills, management quality, and the like, indicates that most projects fail to achieve their aims, interests, costs, as well as their timeframes and space requirements. As the environment can pose significant uncertainty to any project, environmental risks should be deeply studied by project management departments. This study intends to analyze as a case the environmental risk management system within a consulting firm. From this analysis, each aspect of a project's environmental risk management is ranked using a fuzzy analytical network process (ANP), a neural network algorithm, and a decision-making trial and evaluation laboratory (DEMATEL) methodology. From the organizational aspect, budget risk is the most significant. From the technical aspect, the risk of regulations is the most important one. Finally, the risk of project failure from poor communication is another identified main risk in this research. By studying high-ranking items in this hierarchy, it can be understood that these criteria exist in different aspects; therefore, all aspects of the risk should be taken into account to cover and assess risk. A neural network algorithm for validating and reassessment of ranking is employed. Results of this application showed that, based on Spearman's rank correlation method, two different approaches resulted in similar rankings. Finally, some practical implications for responding to the most highly ranked risks are proposed. K E Y W O R D SDEMATEL, environmental risk management, fuzzy hierarchical analysis, neural network algorithm, optimization

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“…The framework of the proposed FMEA method is consistent with ISO 31000 [ 56 ] on risk assessment, e.g., the process of calculating the RPN value in FMEA can be integrated into ISO 31000 as a quantification method of risk evaluation. Some researchers have built a hybrid method for risk identification, evaluation, and control based on FMEA and ISO 31000 [ 57 ].…”

Section: The Ambiguity Measure-based Fmea Approachmentioning

confidence: 99%

“…The hybrid method based on DST and other methods, such as fuzzy sets theory, is also popular among researchers [ 54 , 55 ]. The international standard ISO 31000 [ 56 ] is also introduced to improve the FMEA method for risk identification, evaluation and control [ 57 ]. However, none of the aforementioned methods model the relative importance among different FMEA experts by considering the assessment data from the experts themselves.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Fusing the Uncertainty of FMEA Experts Using an Entropy-Like Measure with an Application in Fault Evaluation of Aircraft Turbine Rotor Blades

Zhou

Tang

2018

Entropy

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As a typical tool of risk analysis in practical engineering, failure mode and effects analysis (FMEA) theory is a well known method for risk prediction and prevention. However, how to quantify the uncertainty of the subjective assessments from FMEA experts and aggregate the corresponding uncertainty to the classical FMEA approach still needs further study. In this paper, we argue that the subjective assessments of FMEA experts can be adopted to model the weight of each FMEA expert, which can be regarded as a data-driven method for ambiguity information modeling in FMEA method. Based on this new perspective, a modified FMEA approach is proposed, where the subjective uncertainty of FMEA experts is handled in the framework of Dempster–Shafer evidence theory (DST). In the improved FMEA approach, the ambiguity measure (AM) which is an entropy-like uncertainty measure in DST framework is applied to quantify the uncertainty degree of each FMEA expert. Then, the classical risk priority number (RPN) model is improved by aggregating an AM-based weight factor into the RPN function. A case study based on the new RPN model in aircraft turbine rotor blades verifies the applicable and useful of the proposed FMEA approach.

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Hybrid Approach to Construction Project Risk Management with Simultaneous FMEA/ISO 31000/Evolutionary Algorithms: Empirical Optimization Study

Cited by 36 publications

References 33 publications

A novel fuzzy bi-objective vehicle routing and scheduling problem with time window constraint for a distribution system: A case study

A novel fuzzy bi-objective vehicle routing and scheduling problem with time window constraint for a distribution system: A case study

Analyzing the factors affecting environmental risks of projects using a hybrid approach of DEMATEL‐ANP, artificial neural network: A case study

Modeling and Fusing the Uncertainty of FMEA Experts Using an Entropy-Like Measure with an Application in Fault Evaluation of Aircraft Turbine Rotor Blades

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