Search results for "Management."

showing 10 items of 16365 documents

Dynamic Modeling, Energy Analysis, and Path Planning of Spherical Robots on Uneven Terrains

2020

Spherical robots are generally comprised of a spherical shell and an internal actuation unit. These robots have a variety of applications ranging from search and rescue to agriculture. Although one of the main advantages of spherical robots is their capability to operate on uneven surfaces, energy analysis and path planning of such systems have been studied only for flat terrains. This work introduces a novel approach to evaluate the dynamic equations, energy consumption, and separation analysis of these robots rolling on uneven terrains. The presented dynamics modeling, separation analysis, and energy analysis allow us to implement path planning algorithms to find an optimal path. One of t…

0209 industrial biotechnologyControl and OptimizationComputer science0211 other engineering and technologiesBiomedical EngineeringTerrain02 engineering and technologySpherical shellComputer Science::RoboticsVehicle dynamics020901 industrial engineering & automationArtificial IntelligenceMotion planningSearch and rescueComputingMethodologies_COMPUTERGRAPHICS021106 design practice & managementMechanical EngineeringPropellerControl engineeringEnergy consumptionComputer Science ApplicationsSystem dynamicsHuman-Computer InteractionControl and Systems EngineeringPath (graph theory)RobotComputer Vision and Pattern RecognitionIEEE Robotics and Automation Letters
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The Advantage of Digital Decision Making for Strategic Decisions – Proofed by a Supply Chain Case

2017

This paper will discuss the advantage of decision making supported by a digital system and will provide an overview of an empiric analysis researched on this topic. Decision making in organizations is a significant system implied task of managers and therefore a broad area in scientific research, not only in the disciplines management or business studies – even from technical to humanistic disciplines. Nowadays the trend of digitalization captures all areas of life especially in business, as well as the typical management task of decision making. Triggered by the digitalization trend business will move toward an autonomous decision making of machines or cyber systems. The important step tow…

0209 industrial biotechnologyDecision support systemProcess managementComputer scienceProcess (engineering)media_common.quotation_subjectSupply chain02 engineering and technologyComputer-assisted web interviewing010501 environmental sciences01 natural sciencesBusiness studies020901 industrial engineering & automationCommerceBusiness caseFunction (engineering)Decision model0105 earth and related environmental sciencesmedia_commonINTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION
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Collaboration and Decision-Making in Context

2016

The goal of this chapter is to provide a historical account of the evolutions in the domain of the book and to set the stage for the concepts and solutions to be presented in the following chapters, including the introduction of the terminology adopted to be used throughout this text. Consequently, we aim at providing the answers to a series of questions, such as: (a) “How the organizations have been evolving over the last decades?”, (b) “Which have been the corresponding trends of the management and control schemes?”, (c) “How management and control functions are allocated to human and automation equipment?”, (d) “Which are the desirable properties of the information processing tools meant…

0209 industrial biotechnologyDecision support systemProcess managementComputer sciencebusiness.industry010401 analytical chemistryControl (management)Information processingContext (language use)02 engineering and technology01 natural sciencesAutomation0104 chemical sciencesTerminology020901 industrial engineering & automationSection (archaeology)businessDecision model
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Propulsion monitoring system for digitized ship management: Preliminary results from a case study

2020

Abstract The paradigm of Industry 4.0 a fundamental driver of innovation in marine industry, where the new digital era will see the development of smart cyber-ships equipped with advanced automation systems that will progressively evolve towards fully autonomous vessels. Although the journey towards such technological frontier has started, most companies operating in the maritime sector still appear un-prepared to face the future scenario. In the maritime sector, in fact, empirical models and oversimplified approaches are still largely employed for the management of fleet operations. There is thus the necessity of developing and providing operative models for digitized ship management, whic…

0209 industrial biotechnologyDecision support systemShip managementcontinuous engine monitoring systemsmart shipbusiness.industryDigital eraComputer scienceMonitoring systemContext (language use)02 engineering and technologyPropulsionIndustry 4.0AutomationGeneralLiterature_MISCELLANEOUSIndustrial and Manufacturing Engineering020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringRisk analysis (engineering)Artificial IntelligenceOrder (exchange)Settore ING-IND/17 - Impianti Industriali Meccanicibusiness
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Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

2018

International audience; Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A standardized representation for BN models will aid in their communication and exchange across the web. This article presents an extension to the predictive model markup language (PMML) standard for the representation of a BN, which may consist of discrete variables, continuous variables, or their combination. The PMML standard is based on extensible markup language (XML) and used for the representation of analytical models…

0209 industrial biotechnologyDesignComputer sciencecomputer.internet_protocol02 engineering and technologycomputer.software_genreBayesian inferenceIndustrial and Manufacturing EngineeringArticle[SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineeringanalyticsUncertainty quantificationMonte-Carlouncertaintycomputer.programming_languageParsingBayesian networkInformationSystems_DATABASEMANAGEMENTstandardPython (programming language)XMLComputer Science ApplicationsmanufacturingComputingMethodologies_PATTERNRECOGNITIONBayesian networksControl and Systems EngineeringSurface-RoughnessData analysisPredictive Model Markup Language020201 artificial intelligence & image processingData miningcomputerXML
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Disturbance observer-based disturbance attenuation control for a class of stochastic systems

2016

This paper studies a class of stochastic systems with multiple disturbances which include the disturbance with partially-known information and the white noise. A disturbance observer is constructed to estimate the disturbance with partially-known information, based on which, a disturbance observer-based disturbance attenuation control (DOBDAC) scheme is proposed by combining pole placement and linear matrix inequality (LMI) methods.

0209 industrial biotechnologyDisturbance (geology)Computer scienceAttenuation020208 electrical & electronic engineeringControl (management)Disturbance observer-based disturbance attenuation controlStochastic systemLinear matrix inequalityDisturbance observer-based disturbance attenuation control; Multiple disturbances; Stochastic system; Control and Systems Engineering; Electrical and Electronic Engineering02 engineering and technologyWhite noiseClass (biology)020901 industrial engineering & automationControl and Systems EngineeringControl theoryFull state feedbackDisturbance observer0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringMultiple disturbancesAutomatica
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Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda

2019

Despite all efforts like the introduction of new training methods and personal protective equipment, the need to reduce the number of First Responders (FRs) fatalities and injuries remains. Reports show that advances in technology have not yet resulted in protecting FRs from injuries, health impacts, and odorless toxic gases effectively. Currently, there are emerging technologies that can be exploited and applied in emergency management settings to improve FRs protection. The aim of this paper is threefold: First, to conduct scenario analysis and situations that currently threat the first responders. Second, to conduct gap analysis concerning the new technology needs in relations to the pro…

0209 industrial biotechnologyEmerging technologies02 engineering and technologyGap analysis020901 industrial engineering & automationSDG 3 - Good Health and Well-beingHazardous waste0202 electrical engineering electronic engineering information engineeringHazardous materialsScenario analysisPersonal protective equipmentFirst respondersEmergency managementbusiness.industrySDG 8 - Decent Work and Economic GrowthTraining methodsDisaster response/dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growthEmergency managementAngewandte KognitionswissenschaftInformatikRisk analysis (engineering)Emerging technologies/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being020201 artificial intelligence & image processingbusinessEngineering Applications of Neural Networks
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Vision guided robotic inspection for parts in manufacturing and remanufacturing industry

2020

AbstractEnvironmental and commercial drivers are leading to a circular economy, where systems and components are routinely recycled or remanufactured. Unlike traditional manufacturing, where components typically have a high degree of tolerance, components in the remanufacturing process may have seen decades of wear, resulting in a wider variation of geometries. This makes it difficult to translate existing automation techniques to perform Non-Destructive Testing (NDT) for such components autonomously. The challenge of performing automated inspections, with off-line tool-paths developed from Computer Aided Design (CAD) models, typically arises from the fact that those paths do not have the r…

0209 industrial biotechnologyEngineering drawingNon-Destructive Testing (NDT)Machine visionComputer science02 engineering and technologyManagement Monitoring Policy and Lawcomputer.software_genreTS01 natural sciencesIndustrial and Manufacturing Engineering010309 optics020901 industrial engineering & automation0103 physical sciencesStructure from motionComputer Aided Design3D reconstructionWaste Management and DisposalRemanufacturingGraphical user interfacebusiness.industryOrientation (computer vision)Ultrasonic testingAutomationbusinesscomputerRobotic inspection
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Digital Design Skills for Factories of the Future

2019

Industry 4.0, Smart Manufacturing, Factories of the Future all describe aspects of the heralding era of digitalization of manufacturing aiming to interconnect every step of the manufacturing process and seamlessly integrate the physical and digital world. In Factories of the Future a central computer organizes the intelligent networking of all subsystems, suppliers and customers into one system. All relevant requirements concerning manufacturing and product are confirmed at design time, while execution takes place autonomously as ICT and automation are integrated. The main challenge is represented by educational system, how prepared is to provide students, future employees, the digital comp…

0209 industrial biotechnologyEngineering managementEngineering020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringlcsh:TA1-2040business.industry02 engineering and technologylcsh:Engineering (General). Civil engineering (General)businessDesign skillsMATEC Web of Conferences
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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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