Search results for "DEMATEL"

showing 10 items of 10 documents

A MCDM-based methodology to evaluate the mutual influence among performance shaping factors

2022

In recent decades, risk analysts have widely focused on Human Reliability Analysis (HRA) methods to assess the contribution of human errors to system failures, also considering contextual and cognitive factors named Performance Shaping Factors (PSFs). Initially implemented in the field of Nuclear Power Plants (NNPs), HRA methods have been extended to different sectors in recent years. Despite that, the majority of contributions in the field assume the independence among PSFs, which may result in an over or under estimation of the Human Error Probability (HEP). Therefore, the present paper proposes a DEMATEL-based approach to evaluate the mutual influence between PSFs proposed by the SPARH m…

Human Reliability Analysis (HRA)Performance Shaping Factors (PSFs)DEMATELHuman Error Probability (HEP)
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Assessing organizational risk in industry by evaluating interdependencies among human factors through the DEMATEL methodology

2018

This contribution proposes a Multi-Criteria Decision-Making (MCDM)-based approach to support organizational risk assessment in industrial environments

Human behaviourmulti-criteria decision-makingDEMATELorganisational riskbottling process
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Managing Human Factors to Reduce Organisational Risk in Industry

2018

[EN] Human factors are intrinsically involved at virtually any level of most industrial/business activities, and may be responsible for several accidents and incidents, if not correctly identified and managed. Focusing on the significance of human behaviour in industry, this article proposes a multi-criteria decision-making (MCDM)-based approach to support organizational risk assessment in industrial environments. The decision-making trial and evaluation laboratory (DEMATEL) method is proposed as a mathematical framework to evaluate mutual relationships within a set of human factors involved in industrial processes, with the aim of highlighting priorities of intervention. A case study relat…

Bottling processDEMATEL02 engineering and technologylcsh:QA75.5-76.95Multi-criteria decision-makingHuman behaviour0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesInference engineSet (psychology)050107 human factorsRisk managementOrganisational riskbusiness.industryApplied Mathematicslcsh:T57-57.97lcsh:Mathematics05 social sciencesRank (computer programming)General EngineeringMultiple-criteria decision analysislcsh:QA1-939Risk evaluationComputational MathematicsIntervention (law)Risk analysis (engineering)lcsh:Applied mathematics. Quantitative methods020201 artificial intelligence & image processingBusinesslcsh:Electronic computers. Computer scienceRisk assessmentMATEMATICA APLICADA
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Assessing supply chain risks in the automotive industry through a modified MCDM-based FMECA

2020

Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCRs) is crucial, and is currently a very active field of research. Failure Mode, Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assess…

Risk analysisSupply chain risk managementcriticality and risk analysisComputer scienceAHPSupply chain09.- Desarrollar infraestructuras resilientes promover la industrialización inclusiva y sostenible y fomentar la innovaciónAutomotive industryAnalytic hierarchy processBioengineeringcriticality and risk analysi02 engineering and technologylcsh:Chemical technologySystems engineeringlcsh:Chemistry0502 economics and businessSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringChemical Engineering (miscellaneous)lcsh:TP1-1185systems engineeringbusiness.industryProcess Chemistry and Technology05 social sciencesCriticality and risk analysisFuzzy DEMATELSupply chainMultiple-criteria decision analysis12.- Garantizar las pautas de consumo y de producción sosteniblesFailure mode effects and criticality analysislcsh:QD1-999Risk analysis (engineering)020201 artificial intelligence & image processingMATEMATICA APLICADAbusinessFailure mode and effects analysis050203 business & managementFMECA
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Decision-Making Tools to Manage the Microbiology of Drinking Water Distribution Systems

2020

[EN] This paper uses a two-fold multi-criteria decision-making (MCDM) approach applied for the first time to the field of microbial management of drinking water distribution systems (DWDS). Specifically, the decision-making trial and evaluation laboratory (DEMATEL) was applied removing the need for reliance on expert judgement, and analysed interdependencies among water quality parameters and microbiological characteristics of DWDS composed of different pipe materials. In addition, the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) ranked the most common bacteria identified during trials in a DWDS according to their relative abundance while managing vagueness…

lcsh:Hydraulic engineeringComputer sciencemedia_common.quotation_subjectGeography Planning and Developmentwater quality monitoringDEMATEL02 engineering and technology010501 environmental sciencesAquatic Science01 natural sciencesBiochemistryFuzzy logicDistribution systemWater quality monitoringlcsh:Water supply for domestic and industrial purposeslcsh:TC1-9780202 electrical engineering electronic engineering information engineering03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesFTOPSISIntegrated management0105 earth and related environmental sciencesWater Science and Technologymedia_commonlcsh:TD201-50006.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todosDrinking water distribution systemsIntegrated approachMultiple-criteria decision analysisInterdependenceRisk analysis (engineering)drinking water distribution systemsMicrobiological assessmentMulti-criteria system analysismicrobiological assessment020201 artificial intelligence & image processingWater qualityMATEMATICA APLICADAmulti-criteria system analysisReal world dataWater
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Human error contribution to accidents in the manufacturing sector: A structured approach to evaluate the interdependence among performance shaping fa…

2023

Since the 1970s, Human Reliability Analysis (HRA) methods have received a great interest for the quantification of the Human Error Probability (HEP) in Nuclear Power Plants (NPPs). To this purpose, the second-generation HRA methods consider contextual and cognitive factors - named Performance Shaping Factors (PSFs) - that may influence the workers’ performance during tasks execution. Despite the recent extension of HRA methods to different fields, only few studies refer to the manufacturing sector. In addition, the majority of contributions assume the independence among PSFs, which may result in an over or under estimation of HEP. Therefore, the present paper focuses on the manufacturing se…

Fuzzy DEMATEL Human Error Probability (HEP) Human Reliability Analysis (HRA) Interdependence Performance Shaping Factors (PSFs)Settore ING-IND/17 - Impianti Industriali MeccaniciPublic Health Environmental and Occupational HealthBuilding and ConstructionSafety Risk Reliability and QualitySafety ResearchSafety Science
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A methodological framework based on a DANP model for evaluating the software quality in terms of usability: a preliminary investigation on mobile ope…

2020

Evaluation of the software usability as concerns software alternatives represents a typical Multi- Criteria Decision-Analysis (MCDA) problem. Such a kind of problem can be successfully faced via structured models and approaches which validity have been widely shown in literature. In this work, a methodological framework based on a MCDA model integrating the DEMATEL method along with the ANP technique is proposed and explained with more detail to address the relevant issue of the software usability evaluation. The applicability of the considered DEMATEL-ANP (DANP) based model in the under analysis contest is demonstrated via a preliminary investigation, where the usability of the two major M…

lcsh:HF5691-5716Computer sciencebusiness.industryMobile operating systemSoftware usabilitylcsh:QA299.6-433lcsh:Business mathematics. Commercial arithmetic. Including tables etc.General Decision SciencesSoftware qualityUsabilityDEMATELlcsh:AnalysisMulti-criteria decision-analysisMultiple-criteria decision analysisSoftware qualityMobile operating systemSoftwarebusinessSoftware engineeringSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneANP
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An integrated methodological approach for optimising complex systems subjected to predictive maintenance

2021

Abstract The present paper addresses the relevant topic of maintenance management, widely recognised as a fundamental issue involving complex engineering systems and leading companies towards the optimisation of their assets while pursuing cost efficiency. With this regard, our research aims to provide companies with a hybrid methodological approach based on Multi-Criteria Decision-Making (MCDM) capable to deal with the main failures potentially involving complex systems subjected to predictive maintenance. Such an approach is going to be integrated within the framework of traditional Failure Mode Effects and Criticality Analysis (FMECA), whose strengths and weaknesses are considered. In pa…

Complex systemsService systemCost efficiencyComputer scienceSpecific riskPredictive maintenanceDEMATELMultiple-criteria decision analysisIndustrial and Manufacturing EngineeringPredictive maintenanceFailure mode effects and criticality analysisRisk managementRisk analysis (engineering)Settore ING-IND/17 - Impianti Industriali MeccaniciELECTRE TRIELECTREMaintenance managementSafety Risk Reliability and QualityStrengths and weaknessesFMECAReliability Engineering & System Safety
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Optimal Placement of Pressure Sensors Using Fuzzy DEMATEL-Based Sensor Influence

2020

[EN] Nowadays, optimal sensor placement (OSP) for leakage detection in water distribution networks is a lively field of research, and a challenge for water utilities in terms of network control, management, and maintenance. How many sensors to install and where to install them are crucial decisions to make for those utilities to reach a trade-off between efficiency and economy. In this paper, we address the where-to-install-them part of the OSP through the following elements: nodes' sensitivity to leakage, uncertainty of information, and redundancy through conditional entropy maximisation. We evaluate relationships among candidate sensors in a network to get a picture of the mutual influenc…

Mathematical optimizationlcsh:Hydraulic engineeringDistribution networksoptimal sensor placementComputer scienceEntropyleakageGeography Planning and Development09.- Desarrollar infraestructuras resilientes promover la industrialización inclusiva y sostenible y fomentar la innovación0207 environmental engineeringDEMATEL02 engineering and technologyAquatic ScienceBiochemistryFuzzy logiclcsh:Water supply for domestic and industrial purposesSensitivityMulti-criteria decision-makingFuzzy dematellcsh:TC1-9780202 electrical engineering electronic engineering information engineeringmulti-criteria decision-makingEntropy (information theory)uncertainty020701 environmental engineeringMutual influenceWater Science and TechnologyConditional entropylcsh:TD201-500Network controlUncertaintyWater distribution networksensitivityPressure sensorOptimal sensor placementwater distribution network020201 artificial intelligence & image processingMATEMATICA APLICADAentropyLeakageWater
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DEMATEL-based consensual selection of suitable maintenance KPIs

2018

This paper aims to highlight the fundamental role of Multi-Criteria Decision-Making (MCDM) tools to perform efficiently in such a complex field as industrial maintenance. Typically, a strategic plan of maintenance interventions has to be first implemented and then continuously checked by maintenance management. Given the importance to monitor the quality and suitability of the undertaken choices, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is herein suggested to evaluate some of the most important maintenance Key Performance Indicators (KPIs) on the basis of their mutual relationships. DEMATEL is particularly adequate to take into account interdependencies existing …

Settore ING-IND/17 - Impianti Industriali MeccaniciDEMATELmaintenance KPIsMCDM
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