Search results for "021103 operations research"

showing 10 items of 289 documents

Quality management in the public sector accounting department - (un)avoidable quality costs and unlikely financial impacts

2017

This paper investigates the nature of quality costs and the likelihood of their having financial impacts in the public sector. An illustrative quality development case project in an accounting department of a Finnish city administration is presented. The empirical data includes answers to a qualitative project question sheet, workshop material and participative observation. Quality problems are classified according to their quality cost category and the extent to which they are avoidable. Some of the quality costs proved unavoidable and some are likely to lack financial impact, exhibiting sticky cost behaviour. The study indicates that certain prevention and appraisal costs in the public se…

Empirical dataQuality managementmedia_common.quotation_subjecttoimintatutkimus0211 other engineering and technologiesAccounting02 engineering and technologyQuality developmentcase studytapaustutkimuscost classification0502 economics and businessQuality (business)Action researchta512media_commonFinance021103 operations researchFinancial impactbusiness.industrypublic sectorcost stickiness05 social sciencesPublic sectorkustannustehokkuuslaatuGeneral Medicinejulkinen sektoriaction researchqualityBusinessQuality costs050203 business & managementInternational Journal of Accounting and Finance
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ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority number

2017

Proposing an ELECTRE TRI-based approach for the failure modes classification into predefined and ordered risk classes.Direct identification of failure modes on which performing the corrective actions with priority.Easy definition of risk classes on the basis of DMs expertise and perception of the industrial context considered.Application to dairy manufacturing processes. Failure Mode and Effects Analysis (FMEA) is an engineering technique aimed at the detection of potential failures, their causes and consequences on the system/process under investigation. When used for the failure modes prioritization, FMEA is also referred to as Failure Mode, Effects and Criticality Analysis (FMECA). In tr…

Engineering021103 operations researchGeneral Computer Sciencebusiness.industryProcess (engineering)0211 other engineering and technologiesGeneral EngineeringSpecific riskContext (language use)02 engineering and technologyMultiple-criteria decision analysisReliability engineeringFailure mode effects and criticality analysisFailure modes classificationSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingELECTRE TRISensitivity (control systems)ELECTREbusinessFailure mode and effects analysisFMECA
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A Dempster-Shafer Theory-based approach to the Failure Mode, Effects and Criticality Analysis (FMECA) under epistemic uncertainty: application to the…

2017

Abstract Failure Mode and Effects Analysis (FMEA) is a safety and reliability analysis tool widely used for the identification of system/process potential failures, their causes and consequences. When aimed at the failure modes prioritization, FMEA is named Failure Mode, Effects and Criticality Analysis (FMECA). In the latter case, failure modes are commonly prioritized by means of the Risk Priority Number (RPN) that has been widely criticized to have several shortcomings. Firstly, in the presence of multiple experts supplying different and uncertain judgments on risk parameters, RPN is not able to deal with such a kind of information. Therefore, the present paper proposes the Dempster-Shaf…

EngineeringEpistemic uncertainty021103 operations researchFailure modes prioritizationbusiness.industryProcess (engineering)0211 other engineering and technologiesDempster-Shafer Theory02 engineering and technologyInterval (mathematics)Industrial and Manufacturing EngineeringReliability engineeringIdentification (information)Propulsion systemFailure mode effects and criticality analysisDempster–Shafer theorySettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingUncertainty quantificationSafety Risk Reliability and QualitybusinessFailure mode and effects analysisReliability (statistics)FMECAReliability Engineering & System Safety
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Split-Delivery Capacitated Arc-Routing Problem: Lower Bound and Metaheuristic

2010

International audience; This paper proposes lower and upper bounds for the split-delivery capacitated arc-routing problem (SDCARP), a variant of the capacitated arc-routing problem in which an edge can be serviced by several vehicles. Recent papers on related problems in node routing have shown that this policy can bring significant savings. It is also more realistic in applications such as urban refuse collection, where a vehicle can become full in the middle of a street segment. This work presents the first lower bound for the SDCARP, computed with a cutting plane algorithm and an evolutionary local search reinforced by a multistart procedure and a variable neighborhood descent. Tests on …

EngineeringMathematical optimization0211 other engineering and technologiesTransportation02 engineering and technologyUpper and lower boundsCARP0502 economics and businessLocal search (optimization)capacitated arc-routing problemMetaheuristicCivil and Structural Engineering050210 logistics & transportationSDCARP021103 operations researchbusiness.industryNode (networking)05 social sciences[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]split deliverycutting planeevolutionary local searchMemetic algorithmRouting (electronic design automation)businessArc routingCutting-plane method
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Real-time weighting optimization in Chinese Postman Problem

2013

International audience; In this study, based on real-time constraint, an optimization method is proposed for solving the problem of the optimal tour. For that, we will construct a graph containing the real-time state of traffic. The collected data will be used to predict the future state traffic and to give an optimized cost of the tour. This optimization is tested in different sizes of the road networks. The results show that the proposed method is efficient and effective in solving the Chinese Postman Problem in real-time.

EngineeringMathematical optimization021103 operations research[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingbusiness.industry0211 other engineering and technologies0102 computer and information sciences02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesWeighting[SPI.AUTO]Engineering Sciences [physics]/AutomaticRoute inspection problem[SPI.AUTO] Engineering Sciences [physics]/Automatic[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing010201 computation theory & mathematicsRoad networks[ SPI.AUTO ] Engineering Sciences [physics]/AutomaticGraph (abstract data type)Real-time databusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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An Object-Oriented Approach to Discrete-Event Simulation Applied to Underground Railway Systems

1999

This paper describes the implementation of an object-oriented simulator that supports the determination of timetables and the design of on-line control policies for underground rail way systems. The simulator has been developed on the basis of a new approach to object- oriented modelling. Such an approach has been used to design a development tool that supports the generation of simulation codes and is able to automatically define the skeleton of a code.

EngineeringObject-oriented programming021103 operations researchDiscrete event systemBasis (linear algebra)business.industryDistributed computing0211 other engineering and technologies02 engineering and technologyObject (computer science)Computer Graphics and Computer-Aided DesignModeling and SimulationObject oriented simulationRail transportation0202 electrical engineering electronic engineering information engineeringUrban transportation020201 artificial intelligence & image processingDiscrete event simulationbusinessSoftwareSimulationSIMULATION
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A GRASP algorithm for the container stowage slot planning problem

2016

This work presents a generalization of the Slot Planning Problem which raises when the liner shipping industry needs to plan the placement of containers within a vessel (stowage planning). State-of-the-art stowage planning relies on a heuristic decomposition where containers are first distributed in clusters along the vessel. For each of those clusters a specific position for each container must be found. Compared to previous studies, we have introduced two new features: the explicit handling of rolled out containers and the inclusion of separations rules for dangerous cargo. We present a novel integer programming formulation and a Greedy Randomized Adaptive Search Procedure (GRASP) to solv…

EngineeringOperations researchHeuristic (computer science)Container vessel stowage planning0211 other engineering and technologiesTransportation02 engineering and technologyManagement Science and Operations ResearchSHIPSOPERATIONSNUMBERGRASP0202 electrical engineering electronic engineering information engineeringHeuristic algorithmsLOADING PROBLEMBusiness and International ManagementInteger programmingREDUCEGreedy randomized adaptive search procedureCivil and Structural EngineeringSlot planningECONOMICS021103 operations researchbusiness.industryGRASPSHIFTSInteger programmingREACTIVE GRASPENGINEERINGPACKING PROBLEMSPacking problemsContainer (abstract data type)StowageBenchmark (computing)020201 artificial intelligence & image processingbusinessSETTransportation Research Part E: Logistics and Transportation Review
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A combined multi-criteria approach to support FMECA analyses: A real-world case

2018

[EN] The paper proposes an approach that combines reliability analyses and multi-criteria decision methods to optimize maintenance activities of complex systems. A failure mode, effects, and criticality analysts (FMECA) is initially performed and the fuzzy TOPSIS (FTOPSIS) method is then applied to rank previously identified failure modes. For prioritization, failure modes are assessed against three evaluation criteria that differ from those traditionally involved in risk priority number (RPN) computation (i.e. severity, occurrence and detection). Two criteria refer to the maintenance management reflecting the operational time taken by the maintenance activity performed after the occurrence…

EngineeringSafety-critical analysisSafety-critical analysiAHP0211 other engineering and technologiesAnalytic hierarchy process02 engineering and technologyFault (power engineering)Industrial and Manufacturing EngineeringSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringFTOPSISSensitivity (control systems)Safety Risk Reliability and QualityReliability (statistics)021103 operations researchbusiness.industryRank (computer programming)Reliability engineeringFailure mode effects and criticality analysisRanking020201 artificial intelligence & image processingMATEMATICA APLICADAbusinessFailure mode and effects analysisFMECAReliability Engineering & System Safety
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The Complexity of Risk and Uncertainty Assessment

2017

Abstract Risk reduction means diminishing uncertainties and strengthening the knowledge. There are many ways in which undesirable surprises can be understood and controlled, but the dominating one is the risk approach, on the basis of risk conceptualization, evaluation and risk management. Across time, many progresses have been accomplished in the field of risk, connected not only to the conceptual part, but also to the empirical procedures. Despite this, the premise of this domain is being represented to a substantial extend by theories and practices. This is why it is indispensable to search for trends in the risk framework, to reveal whether further development should be desired and if u…

EntrepreneurshipSocial PsychologyHF5001-6182Computer scienceEconomics Econometrics and Finance (miscellaneous)Acknowledgement0211 other engineering and technologies02 engineering and technologyrisk managementsociety for risk analysisrisk conceptualizationComponent (UML)0502 economics and businessBusiness050207 economicsRisk managementHarmony (color)021103 operations researchConceptualizationbusiness.industry05 social sciencesRisk management frameworkRisk analysis (engineering)PremiseBusiness Management and Accounting (miscellaneous)businessStudies in Business and Economics
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Handling the epistemic uncertainty in the selective maintenance problem

2020

Abstract Nowadays, both continuous and discontinuous operating systems require higher and higher reliability levels in order to avoid the occurrence of dangerous or even disastrous consequences. Accordingly, the definition of appropriate maintenance policies and the identification of components to be maintained during the planned system’s downtimes are fundamental to ensure the reliability maximization. Therefore, the present paper proposes a mathematical programming formulation of the selective maintenance problem with the aim to maximize the system’s reliability under an uncertain environment. Specifically, the aleatory model related to the components’ failure process is well known, where…

Epistemic uncertainty021103 operations researchGeneral Computer ScienceProcess (engineering)Computer scienceInterval-valued reliability data0211 other engineering and technologiesGeneral EngineeringDempster-Shafer Theory02 engineering and technologyInterval (mathematics)MaximizationExact resolution algorithmIdentification (information)Risk analysis (engineering)Order (exchange)Dempster–Shafer theory0202 electrical engineering electronic engineering information engineeringSelective maintenance020201 artificial intelligence & image processingUncertainty quantificationReliability (statistics)Computers & Industrial Engineering
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