Search results for " Decision making"

showing 10 items of 183 documents

Human Factor Interrelationships to Improve Worker Reliability: Implementation of MCDM in the Agri-Food Sector

2023

Performance Shaping Factors (PSFs) are contextual, individual, and cognitive factors used in Human Reliability Analysis (HRA) to quantify the worker contribution to errors when performing a generic task. Although the empirical evidence demonstrates the existence of PSF interrelationships, the majority of HRA methods assume their independence. As a consequence, the resulting Human Error Probability (HEP) might be over- or underestimated. To deal with this issue, only a few qualitative guidelines or statistical-based approaches have been proposed so far. While the former are not well structured, the latter require a high computational effort and a proper number of input data. Therefore, the p…

Computer Networks and CommunicationsHardware and ArchitectureControl and Systems EngineeringPerformance Shaping Factor (PSF)Human Error Probability (HEP); Performance Shaping Factor (PSF); interdependence; Multi Criteria Decision Making (MCDM)Signal ProcessingMulti Criteria Decision Making (MCDM)Human Error Probability (HEP)Electrical and Electronic EngineeringinterdependenceElectronics
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Ranking of occupational health and safety risks by a multi-criteria perspective: Inclusion of human factors and application of VIKOR

2021

Nowadays, the Occupational Health and Safety (OHS) is more and more recognized as a crucial process to be properly managed and continuously improved by every organization. Primarily addressed to prevent workers’ injuries and diseases, it positively impacts on productivity, competitiveness and reputation as well as it con-tributes to cost savings in general. OHS management is grounded upon the risk assessment results, on the basis of which defining corrective measures to be taken to reduce risks to acceptable values. In this regard, the paper proposes a Multi-Criteria Decision Making (MCDM) based methodology addressed to the occupational risks prioritization. In order to overcome the shortco…

Computer sciencemedia_common.quotation_subject0211 other engineering and technologiesAnalytic hierarchy process02 engineering and technologyOccupational safety and healthHuman factorManufacturingSettore ING-IND/17 - Impianti Industriali Meccanici021105 building & construction0501 psychology and cognitive sciencesSafety Risk Reliability and Quality050107 human factorsmedia_commonbusiness.industry05 social sciencesPublic Health Environmental and Occupational HealthBuilding and ConstructionMultiple-criteria decision analysisOccupational Health and Safety (OHS); Ranking Multi-Criteria Decision Making (MCDM); Human factor; VIKOROccupational Health and Safety (OHS)Ranking Multi-Criteria Decision Making (MCDM)Risk analysis (engineering)RankingbusinessRisk assessmentSafety ResearchHuman error assessment and reduction techniqueVIKORReputation
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Artificial Decision Maker Driven by PSO : An Approach for Testing Reference Point Based Interactive Methods

2018

Over the years, many interactive multiobjective optimization methods based on a reference point have been proposed. With a reference point, the decision maker indicates desirable objective function values to iteratively direct the solution process. However, when analyzing the performance of these methods, a critical issue is how to systematically involve decision makers. A recent approach to this problem is to replace a decision maker with an artificial one to be able to systematically evaluate and compare reference point based interactive methods in controlled experiments. In this study, a new artificial decision maker is proposed, which reuses the dynamics of particle swarm optimization f…

Computer sciencepäätöksentekomultiple criteria decision makingContext (language use)02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesMulti-objective optimizationoptimointi0202 electrical engineering electronic engineering information engineeringmultiobjective optimization0101 mathematicsToma de decisionespreference articulationparticle swarm optimizationbusiness.industryParticle swarm optimizationDecision makermonitavoiteoptimointiPreferenceMulti-objective optimization010101 applied mathematicsBenchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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A HOLISTIC MULTI-METHODOLOGY FOR SUSTAINABLE RENOVATION

2019

A review of the barriers for building renovation has revealed a lack of methodologies, which can promote sustainability objectives and assist various stakeholders during the design stage of building renovation/retrofitting projects. The purpose of this paper is to develop a Holistic Multi-methodology for Sustainable Renovation, which aims to deal with complexity of renovation projects. It provides a framework through which to involve the different stakeholders in the design process to improve group learning and group decision-making, and hence make the building renovation design process more robust and efficient. Therefore, the paper discusses the essence of multifaceted barriers in buildin…

ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATIONComputer science020209 energyStrategy and ManagementMultiple Criteria Decision Making (MCDM)Soft Systems Methodologies (SSM)Settore ICAR/10 - Architettura Tecnica02 engineering and technologyHD28-70Multiple-criteria decision analysisOutcome (game theory)Construction engineeringproblem structuringmulti-methodologyGroup learningHG1-9999SustainabilityManagement. Industrial management0202 electrical engineering electronic engineering information engineeringRetrofittingDesign processSoft systems methodologyEngineering design processsustainable building renovationFinanceInternational Journal of Strategic Property Management
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Multiobjective optimization and decision making in engineering sciences

2021

AbstractReal-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of various competing criteria related to, for example, business, technical, workforce, safety and environmental aspects increases the complexity of decision making and leads to problems that feature multiple competing criteria. A key challenge in such problems is the identification of the most preferred trade-off solution(s) with respect to the competing criteria. Therefore, the effective combination of data, skills, and advanced engineering and management technologies is becoming a key asset to a company urging the need to rethink how…

Control and OptimizationEvolutionary multiobjective optimizationComputer scienceAerospace EngineeringpäätöksentukijärjestelmätAsset (computer security)Multi-objective optimizationData scienceoptimointidatatiedeFeature (machine learning)Electrical and Electronic EngineeringCivil and Structural EngineeringExpensive optimizationManagement scienceIntersection (set theory)Mechanical EngineeringEngineering sciencesmonitavoiteoptimointiMultiple criteria decision makingFinancial engineeringIdentification (information)WorkforceKey (cryptography)tekniset tieteetSoftwareOptimization and Engineering
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Complexity and Action: Reflections on Decision Making and Cybernetics.

2013

This paper highlights some theoretical and epistemological reflections about the relevance of action for managerial studies. These reflections show how the cybernetic paradigm of complexity management can be used for better decision making that unites knowledge and action in a comprising, dynamic, and evolving approach. Cybernetics can help to overcome the fear of decision making in the face of uncertainty in complex scenarios, and can be an effective tool for improving the viability and competitiveness of firms in the twenty-first century.

Cybernetics Systems thinking Knowledge Action Action research Systemic practice Decision making Prototype Kybernetes.Settore SECS-P/08 - Economia E Gestione Delle Imprese
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The ELECTRE I method to support the FMECA

2018

In traditional Failure Modes, Effects and Criticality Analysis (FMECA), risk priorities of failure modes are determined through the Risk Priority Number (RPN), which is a function of the three risk parameters Occurrence (O), Severity (S), and Detection (D). In the present paper, an alternative approach to RPN is proposed for the criticality assessment of system failure modes. Particularly, the Multi-Criteria Decision Making (MCDM) method ELECTRE I is proposed to select the most critical failure mode in the set of the failure modes charactering a complex system. The method has been applied to a case study previously proposed by Zammori and Gabrielli (2012).

Decision Support SystemMulticriteria Decision Making
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A decision support system to compare different strategies for achieving the Italian Kyoto Protocol commitment

2008

Abstract: In order to meet the Italian Kyoto Protocol commitment, in 2002 the Interministerial Committee for Economic Planning (CIPE) approved the national allocation plan for the reduction of Greenhouse Gases (GHGs), envisioning various alternative scenarios. In this paper an extended impact assessment of the plan is accomplished and some further options are conceived and analysed in order to find an optimal trade-off among the different economic, environmental and social items at stake. After the selection of a set of independent indicators, nine different scenarios for the GHG reductions were evaluated and they were sorted according to the principles of the multicriteria analysis. The re…

Decision support systemdecision support systemImpact assessmentgreenhouse effectKyoto ProtocolEnvironmental economicsMultiple-criteria decision analysisEnergy policyEconomyTransparency (graphic)Greenhouse gasKyoto ProtocolBusinessEconomic planningMCDMnucleaMulticriteria Decision MakingInternational Journal of Nuclear Governance, Economy and Ecology
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Rethinking clinical decision-making to improve clinical reasoning

2022

Improving clinical reasoning techniques is the right way to facilitate decision-making from prognostic, diagnostic, and therapeutic points of view. However, the process to do that is to fill knowledge gaps by studying and growing experience and knowing some cognitive aspects to raise the awareness of thinking mechanisms to avoid cognitive errors through correct educational training. This article examines clinical approaches and educational gaps in training medical students and young doctors. The authors explore the core elements of clinical reasoning, including metacognition, reasoning errors and cognitive biases, reasoning strategies, and ways to improve decision-making. The article addres…

Default Mode Network (DMN) clinical decision making clinical reasoning cognitive biases metacognitionGeneral Medicine
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Production Planning in Production Networks: Models for Medium and Short-term Planning

2008

Distributed production networks are structures which are considered able to provide the organisational agility and efficiency necessary to compete in the global market. The performance of such organisations heavily depends on the ability of those involved in the network to coordinate their activities. Two approaches are available for managing complex distributed production networks: a centralised approach, where a unique entity (the planner, for instance) has all the necessary information to make planning decisions for the entire network; or a decentralised approach where each entity in the network has the necessary information and knowledge to make autonomous planning decisions, while the …

Distributed Decision Making Manufacturing Multi-agent Systems Negotiation Production Networks Production Planning Simulation algorithms productionSettore ING-IND/35 - Ingegneria Economico-GestionaleSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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