Search results for "PIA"

showing 10 items of 5587 documents

From lab to industry: Scaling up green geopolymeric mortars manufacturing towards circular economy

2021

Abstract Construction is nowadays considered an extremely energy intensive industry and one of the main sources of environmental pollution in the world. Therefore, the research and the development of novel energy-saving manufacturing processes and sustainable construction materials is more than ever urgent and challenging. This paper aims at identifying the industrial process for the production of novel geopolymers to be used as a greener substitute for cement, especially the Portland one, widely used for structural applications to significantly reduce the environmental impact of the construction industry. Here, the materials sustainability and the manufacturing process are improved by valo…

020209 energyStrategy and ManagementCircular economy Construction Economic analysis Geopolymeric mortars Industrial scale-up SustainabilitySettore ICAR/10 - Architettura TecnicaEnvironmental pollution02 engineering and technologyReuseRaw materialIndustrial and Manufacturing EngineeringCircular economy; Construction; Economic analysis; Geopolymeric mortars; Industrial scale-up; SustainabilitySettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringProcess engineering0505 lawGeneral Environmental ScienceRenewable Energy Sustainability and the Environmentbusiness.industryCircular economy05 social sciencesBuilding and ConstructionEnergy consumptionProduct (business)Sustainability050501 criminologyEnvironmental sciencebusinessEmbodied energy
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Consistent Clustering of Elements in Large Pairwise Comparison Matrices

2018

[EN] In multi-attribute decision making the number of decision elements under consideration may be huge, especially for complex, real-world problems. Typically these elements are clustered and then the clusters organized hierarchically to reduce the number of elements to be simultaneously handled. These decomposition methodologies are intended to bring the problem within the cognitive ability of decision makers. However, such methodologies have disadvantages, and it may happen that such a priori clustering is not clear, and/or the problem has previously been addressed without any grouping action. This is the situation for the case study we address, in which a panel of experts gives opinions…

0209 industrial biotechnologyAHP0211 other engineering and technologiesAnalytic hierarchy process02 engineering and technologycomputer.software_genreWater distribution system (WDS)Pairwise comparisonMatrix (mathematics)020901 industrial engineering & automationSettore ING-IND/17 - Impianti Industriali MeccaniciDecomposition (computer science)Cluster (physics)Cluster analysisMathematics021103 operations researchApplied MathematicsManagement and operation of a WDSComputational MathematicsIdentification (information)Miller’s magic number sevenA priori and a posterioriPairwise comparisonData miningMiller's magic number sevenMATEMATICA APLICADAcomputerDecision-making
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OMiLAB: A Smart Innovation Environment for Digital Engineers

2020

This position paper introduces a Smart Innovation Environment for experimentation related to digital transformation projects, for the consolidation of a proposed "Digital Engineer" skill profile (with a business-oriented facet labelled as "Digital Innovator"). In the Internet of Things era, this profile implies the ability to perform both digital design and engineering activities, to semantically bridge multiple layers of abstraction and specificity - from business analysis down to cyber-physical engineering. In the paper's proposal, this integration is enabled by conceptual modelling methods and interoperable modelling tools, tailored to support the creation of Digital Twins for innovative…

0209 industrial biotechnologyComputer sciencebusiness.industryInteroperabilityDigital transformationCyber-physical system02 engineering and technologycyber-physical systemsBridge (nautical)Abstraction layeragile modelling method engineering020901 industrial engineering & automationdigital twin020204 information systemsSettore ING-IND/17 - Impianti Industriali MeccaniciBusiness analysis0202 electrical engineering electronic engineering information engineeringPosition paperOMiLAB; Digital Twin; Digital Engineer; Digital Innovator; Agile Modelling Method Engineering; Cyber-Physical Systemsomilabdigital innovatordigital engineerArchitectureSoftware engineeringbusiness
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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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A simulated annealing-based approach for the joint optimization of production/inventory and preventive maintenance policies

2017

Even if more reliable than the past, the performance of modern manufacturing systems is still affected by machine’s deteriorations and breakdowns. As a consequence, adequate maintenance programs must be implemented to adequately satisfy demands during manufacturing stops due to unexpected failures or preventive maintenance (PM) actions. Despite production and maintenance are closely related issues, their joint optimization has become an important research topic just during the last decade. Therefore, the present paper proposes a model for the combined optimization of production/inventory control and PM policies with the aim of minimizing the total expected cost per unit time. The model is f…

0209 industrial biotechnologyEngineeringService (systems architecture)0211 other engineering and technologies02 engineering and technologyPreventive maintenanceIndustrial and Manufacturing EngineeringContinuous production020901 industrial engineering & automationRobustness (computer science)Settore ING-IND/17 - Impianti Industriali MeccaniciProduction (economics)Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMonte Carlo simulationInventory control021103 operations researchbusiness.industryPlanned maintenanceMechanical EngineeringSimulated annealing algorithmJoint optimizationPreventive maintenanceComputer Science ApplicationsReliability engineeringBuffer stockControl and Systems EngineeringSimulated annealingbusinessSoftwareThe International Journal of Advanced Manufacturing Technology
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Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions

2021

Recent developments in manufacturing processes and automation have led to the new industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain which includes: data management, manufacturing competitiveness, production processes and efficiency. The term Industry 4.0 includes a variety of key enabling technologies i.e., cyber physical systems, Internet of Things, artificial intelligence, big data analytics and digital twins which can be considered as the major contributors to automated and digital manufacturing environments. Sustainability can be considered as the core of business strategy which is highlighted in the United Nations (UN) Sustainability 2030 age…

0209 industrial biotechnologyEngineeringTechnologyIndustry 4.0QH301-705.5QC1-999Big dataInternet of Things02 engineering and technology020901 industrial engineering & automationSustainable businessSettore ING-IND/17 - Impianti Industriali Meccanici0502 economics and businessGeneral Materials Sciencesmart manufacturingCloud manufacturingBiology (General)InstrumentationQD1-999cloud manufacturingFluid Flow and Transfer Processesbusiness.industryProcess Chemistry and TechnologyTPhysics05 social sciencesGeneral EngineeringCyber-physical systemartificial intelligenceIndustry 4.0sustainabilityEngineering (General). Civil engineering (General)sustainable manufacturingComputer Science ApplicationsEngineering managementmanufacturingChemistrySustainabilityStrategic managementDigital manufacturingInternet of ThingTA1-2040business050203 business & managementApplied Sciences
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Industry 4.0: smart test bench for shipbuilding industry

2020

AbstractIndustry 4.0 promises to increase the efficiency of production plants and the quality of the final product. Consequently, companies that implement advanced solutions in production systems will have a competitive advantage in the future. The principles of Industry 4.0 can also be applied to shipyards to transform them into “smart shipyards” (Shipyard 4.0). The aim of this research is to implement an interactive approach by Internet of Things on a closed power-loop test bench equipped with sophisticated sensors that is specifically designed to test high-power thrusters before they are installed on high-speed crafts, which are used in passenger transport. The preliminary results of the…

0209 industrial biotechnologyEngineeringTest benchIndustry 4.0media_common.quotation_subject02 engineering and technologyShipyardPropulsionCompetitive advantageExperimental testsIndustrial and Manufacturing Engineering020901 industrial engineering & automation0502 economics and businessSettore ING-IND/17 - Impianti Industriali MeccaniciQuality (business)Settore ING-IND/15 - Disegno E Metodi Dell'Ingegneria Industrialemedia_commonbusiness.industry05 social sciencesIndustry 4.0Manufacturing engineeringInternet of Things (IoT)ShipbuildingModeling and SimulationTest benchCAD modellingThe Internetbusiness050203 business & management
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Regenerative scheduling problem in engineer to order manufacturing: an economic assessment

2021

The dynamic production scheduling is a very complex process that may arise from the occurrence of unpredictable situations such as the arrival of new orders besides the ones already accepted. As a consequence, companies may often encounter several difficulties to make decisions about the new orders acceptance and sequencing along with the production of the existing ones. With this recognition, a mathematical programming model for the regenerative scheduling problem with deterministic processing times is formulated in the present paper to evaluate the economic advantage of accepting a new order in an engineer to order (ETO) manufacturing organization. The real case of an Italian ETO company …

0209 industrial biotechnologyJob shop schedulingProcess (engineering)Build to orderComputer scienceEconomic assessment; Engineer to order; Mathematical programming; SchedulingManufacturing organizationScheduling (production processes)02 engineering and technologyIndustrial engineeringIndustrial and Manufacturing Engineering020901 industrial engineering & automationEconomic assessmentArtificial IntelligenceOrder (exchange)Economic assessment Engineer to order Mathematical programming SchedulingSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingSoftware
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Towards Shipping 4.0. A preliminary gap analysis

2020

Abstract The paradigm of Industry 4.0 involves a substantial innovation to the value creation approach thought the supply chain and the application of digital enabling technologies like the Internet of Things (IoT), Big Data Analytics (BDA) and cloud computing. The fourth industrial revolution is thus expected to have a disruptive impact on maritime transport and shipping sectors, where smart ships and autonomous vessels well be part of a new and fully interconnected maritime ecosystem. Specific hardware components, such as sensors, actuators, or processors will be embedded in the ship’s key systems in order to provide valuable information to increase the efficiency, sustainability and safe…

0209 industrial biotechnologysmart shipBig Data Analytics (BDA)business.industryComputer scienceSupply chainBig dataCloud computing02 engineering and technologyGap analysisBusiness modelIndustry 4.0Maturity (finance)Industrial and Manufacturing EngineeringInternet of Things (IoT)Engineering management020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringArtificial IntelligenceSettore ING-IND/17 - Impianti Industriali MeccaniciSustainabilityValue chainbusinessProcedia Manufacturing
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Me, My Bot and His Other (Robot) Woman? Keeping Your Robot Satisfied in the Age of Artificial Emotion

2018

With a backdrop of action and science fiction movie horrors of the dystopian relationship between humans and robots, surprisingly to date-with the exception of ethical discussions-the relationship aspect of humans and sex robots has seemed relatively unproblematic. The attraction to sex robots perhaps is the promise of unproblematic affectionate and sexual interactions, without the need to consider the other&rsquo

0209 industrial biotechnologyuskottomuusControl and Optimizationlcsh:Mechanical engineering and machinery02 engineering and technologytekoälyemotions050105 experimental psychology020901 industrial engineering & automationtunteetsex0501 psychology and cognitive scienceslcsh:TJ1-1570Artificial emotionsRelation (history of concept)ta113Dystopiabusiness.industryMechanical Engineering05 social sciencesInformation technologyRoboticsartificial intelligencePreferenceAction (philosophy)seksirobotitRobotrobotsArtificial intelligenceinfidelitybusinessPsychologyCognitive psychology
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