Search results for "knowledge."

showing 10 items of 3090 documents

Collaborative Robots and Knowledge Management - A Short Review

2017

Abstract Because the requirements of the customers are more and more high related to quality, quantity, delivery times at lowest costs possible, the industry had to come with automated solutions to improve these requirements. Starting from the automated lines developed by Ford and Toyota, we have now developed automated and self-sustained working lines, which is possible nowadays-using collaborative robots. By using the knowledge management system we can improve the development of the future of this kind of area of research. This paper shows the benefits and the smartness use of the robots that are performing the manipulation activities that increases the work place ergonomically and improv…

0209 industrial biotechnologyEngineering020901 industrial engineering & automationKnowledge managementbusiness.industry0502 economics and business05 social sciencesAutomotive industryRobot02 engineering and technologyGeneral Medicinebusiness050203 business & managementACTA Universitatis Cibiniensis
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A knowledge-based master model approach exemplified with jet engine structural design

2017

Successful product development requires the consideration of multiple engineering disciplines and the quantification of tradeoffs among conflicting objectives from the very early design phases. The single-largest challenge to do so is the lack of detailed design information. A possible remedy of this issue is knowledge-based engineering. This paper presents a knowledge-based master model approach that enables the management of concurrent design and analysis models within different engineering disciplines in relation to the same governing product definition. The approach is exemplified on an early phase structural design of a turbo-fan jet engine. The model allows geometric-, structural mech…

0209 industrial biotechnologyEngineeringGeneral Computer ScienceRelation (database)Concurrent engineeringStructural mechanicsbusiness.industryKnowledge-based engineeringDesign informationGeneral Engineering02 engineering and technologyJet enginelaw.invention020901 industrial engineering & automationlawNew product development0202 electrical engineering electronic engineering information engineeringSystems engineering020201 artificial intelligence & image processingProbabilistic designbusinessComputers in Industry
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Modelling and Simulation of Machining Processes and Operations

2008

This chapter provides the state-of-the-art knowledge engineering and modelling techniques applied in manufacturing/machining and overviews future trends observed at a global scale. Modelling methods for machining processes and operations are classified. The chapter also highlights the multiple tasks of modelling and simulation in modern machining/manufacturing systems. The most popular techniques of numerical simulation including finite difference method and finite element method (FEM) related to mechanical and thermal problems arising in machining processes are described. Practical examples of FE models of various metal cutting operations and their importance in modern manufacturing are pr…

0209 industrial biotechnologyEngineeringMaterials scienceComputer simulationbusiness.industryScale (chemistry)Knowledge engineeringFinite difference methodMechanical engineering02 engineering and technologyFinite element method020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringMachiningModelling methodsFe modelbusiness
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Collaborative Systems and Environments for Future Working Life: Towards the Integration of Workers, Systems and Manufacturing Environments

2017

While the industrial sector in Europe was previously strongly based on mass production technology, it is now moving towards highly customised products and thus to lot-size-one production. The change in production paradigm is strengthened by the emerging technologies. In small- and medium-sized enterprises (SMEs), this means, for example, the increased use of modern digital manufacturing tools, new additive manufacturing processes and novel engineering intelligence solutions. As a direct result, workers need to develop new skills and competences to effective work. From an educational perspective, it is especially critical that people with few prior successful experiences with fully applying …

0209 industrial biotechnologyEngineeringProcess managementKnowledge managementEmerging technologiesbusiness.industryLearning environment05 social sciences050301 education02 engineering and technologycomputer.software_genre020901 industrial engineering & automationWork (electrical)Secondary sector of the economyVirtual learning environmentProduction (economics)CollaborationDigital manufacturingbusiness0503 educationcomputer
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An Ontology to Support Semantic Management of FMEA Knowledge

2016

<p>Risk mitigation has always been a special concern for organization’s strategic management. Various tools and techniques have been developed to manage risk in an effective way. Failure Mode and Effects Analysis (FMEA) is one of the tools used for effective assessment of risk. It analyzes all potential failure modes, their causes, and effects on a product or process. Moreover it recommends actions to mitigate failures in order to enhance product reliability. Organizations spend their resources and domain experts make their efforts to complete this analysis. It further helps organizations identify the expected risks and plan strategies in advance to tackle them. But unfortunately the …

0209 industrial biotechnologyKnowledge managementComputer Networks and Communicationsbusiness.industryProcess (engineering)Computer science0102 computer and information sciences02 engineering and technologyReuseOntology (information science)01 natural sciencesComputer Science Applications020901 industrial engineering & automationComputational Theory and MathematicsData retrievalRisk analysis (engineering)010201 computation theory & mathematicsStrategic managementbusinessFailure mode and effects analysisRisk managementNatural languageInternational Journal of Computers Communications & Control
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Patented intelligence: Cloning human decision models for Industry 4.0

2018

Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence (AI) embedded into various planning, production, and management processes in Industry 4.0 must take the initiative and responsibility for making necessary real-time decisions in many cases. In this paper, we suggest the Pi-Mind technology as a compromise between completely human-expert-driven decision-making and AI-driven decision-making. Pi-Mind enables capturing, cloning and patenting essential parameters of the decision models from a particular human expert making …

0209 industrial biotechnologyKnowledge managementIndustry 4.0Computer sciencecognitive modelsCompromisemedia_common.quotation_subjectpäätöksentekoCognitive computingRationality02 engineering and technologyIndustrial and Manufacturing Engineeringcyber-physical system020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringontologyindustry 4.0preferencevalue systemmedia_commonta113cloneta214Cloning (programming)business.industryCollective intelligencecollective intelligencedecision-makingPi-Mindsmart decisiontietämysjärjestelmätpatented intelligenceHardware and ArchitectureControl and Systems Engineeringteollisuusautomaatioälytekniikkavalmistustekniikka020201 artificial intelligence & image processingjoukkoälyHuman cloningbusinessDecision modelSoftwareJournal of Manufacturing Systems
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Public Policy Design for Climate Change Adaptation: A Dynamic Performance Management Approach to Enhance Resilience

2017

This chapter proposes dynamic performance management (DPM) as a suitable method to identify policies in the context of climate change adaptation. Namely, it focuses on the role it can play to support the analysis of how to enhance resilience of social and economic systems to climate change. While ‘resilience’ is a buzzword in the policymaking world, putting the concept into practice is still undeveloped. In a public administration focused on accountability, intangible outcomes of resilience represent a complication. The chapter discusses the findings and lessons from a case study applying the proposed approach. The results highlight the role of a dynamic performance approach to support stak…

0209 industrial biotechnologyKnowledge managementProcess managementComputingMilieux_THECOMPUTINGPROFESSIONPerformance managementbusiness.industryProcess (engineering)05 social sciencesClimate changePublic policyStakeholder engagementContext (language use)02 engineering and technology0506 political science020901 industrial engineering & automationAccountability050602 political science & public administrationEnvironmental scienceResilience (network)business
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A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem

2012

Published version of a chapter in the book: Advanced Research in Applied Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-31087-4_78 This paper deals with the Stochastic-Point Location (SPL) problem. It presents a solution which is novel in both philosophy and strategy to all the reported related learning algorithms. The SPL problem concerns the task of a Learning Mechanism attempting to locate a point on a line. The mechanism interacts with a random environment which essentially informs it, possibly erroneously, if the unknown parameter is on the left or the right of a given point which also is the current guess. The first pioneering work […

0209 industrial biotechnologyMathematical optimizationOptimization problemBinary treeDiscretizationLearning automataComputer sciencelearning automataVDP::Technology: 500::Information and communication technology: 5500102 computer and information sciences02 engineering and technologyRandom walk01 natural sciencesdicretized learningStochastic-Point problemcontrolled Random WalkVDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425020901 industrial engineering & automation010201 computation theory & mathematicsLine (geometry)Convergence (routing)Point (geometry)Algorithm
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Conceptual Key Competency Model for Smart Factories in Production Processes

2020

Abstract Background and Purpose: The aim of the study is to develop a conceptual key competency model for smart factories in production processes, focused on the automotive industry, as innovation and continuous development in this industry are at the forefront and represent the key to its long-term success. Methodology: For the purpose of the research, we used a semi-structured interview as a method of data collection. Participants were segmented into three homogeneous groups, which are industry experts, university professors and secondary education teachers, and government experts. In order to analyse the qualitative data, we used the method of content analysis. Results: Based on the anal…

0209 industrial biotechnologyOrganizational Behavior and Human Resource ManagementKnowledge managementIndustry 4.0Strategy and Managementcompetencies conceptual key competency model smart factory Industry 4.0 automotive industryAutomotive industryQualitative property02 engineering and technologylcsh:BusinessManagement Information Systems020901 industrial engineering & automationEmpirical research0502 economics and businessBusiness and International Managementindustry 4.0CurriculumMarketingcompetenciesconceptual key competency modelbusiness.industry05 social sciencesSoft skillssmart factoryautomotive industryContent analysisTourism Leisure and Hospitality ManagementStructured interviewbusinesslcsh:HF5001-6182Settore SECS-P/08 - Economia E Gestione Delle Imprese050203 business & management
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Intelligent agents for feature modelling in computer aided design

2017

Abstract CAD modelling can be referred to as the process of generating an integrated multiple view model as a representation of multiple views of engineering design. In many situations, a change in the model of one view may conflict with the models of other views. In such situations, the model of some views needs to be adapted in order to make all models consistent. Thus, CAD models should be capable of adapting themselves to new situations. Recently, agent based technologies have been considered in order to increase both knowledge level and intelligence of real and virtual objects. The contribution of this paper consists in introducing the intelligent agents in intelligent CAD modelling. T…

0209 industrial biotechnologyProcess (engineering)Computer scienceIntelligent agentsComputational MechanicsContext (language use)CAD02 engineering and technologycomputer.software_genre[SHS]Humanities and Social SciencesIntelligent agentIntelligent features020901 industrial engineering & automationRule-based machine translationHuman–computer interactionlcsh:TA1740202 electrical engineering electronic engineering information engineeringRepresentation (mathematics)Engineering (miscellaneous)ComputingMilieux_MISCELLANEOUSFeature recognitionlcsh:Engineering designComputer Graphics and Computer-Aided DesignGeometric knowledgeFeature recognitionHuman-Computer InteractionComputational MathematicsModeling and SimulationCAD modelling020201 artificial intelligence & image processingEngineering design processcomputerEmerged agentJournal of Computational Design and Engineering
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