Search results for "MPI"

showing 10 items of 3922 documents

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 Pareto optimal design approach for simultaneous control of thinning and springback in stamping processes

2009

One of the most relevant research issues in automotive field is focused on the reduction of stamped parts weight also increasing their strength. In this way, a strong research effort is developed on high strength steels which are widely utilized and they require a proper springback control. Springback reduction in sheet metal forming is a typical goal to be pursued which is conflicting with thinning reduction for instance. Thus, such problems can be considered as multi-objective ones characterized by conflicting objectives. What is more, nowadays, a great interest would be focused on the availability of a cluster of possible optimal solutions instead of a single one, particularly in an indu…

0209 industrial biotechnologyEngineeringMathematical optimizationsheet metal stampingAutomotive industryComputational intelligence02 engineering and technologyresponse surface methodBlankMulti-objective optimization[SPI.MAT]Engineering Sciences [physics]/Materialsspringback020901 industrial engineering & automationGeneral Materials ScienceResponse surface methodologySettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionebusiness.industrythinningStructural engineering[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]Stamping021001 nanoscience & nanotechnologymulti-objective optimizationvisual_artvisual_art.visual_art_medium0210 nano-technologybusinessSheet metalReduction (mathematics)International Journal of Material Forming
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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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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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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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Shelf life-based inventory management policy for RF monitored warehouse

2018

Post-harvest losses of perishable products strongly depend on inefficiencies of the entire supply chain. In particular, these inefficiencies can be reduced by optimizing the warehouse management, taking into account the remaining shelf life of the product, and matching it to the requirements of the subsequent part of the handling chain. The replacement of First In First Out picking rule with Last Shelf Life First Out policy has been proved to improve the overall performance of the supply chain. The practicability of such approach is related to the possibility of monitoring the deterioration rate of the products and of predicting the residual shelf-life, that is mainly influenced by harvesti…

021103 operations research05 social sciences0211 other engineering and technologies02 engineering and technologyInventory management policy shelf life RF technologyInventory management policy; shelf life; RF technologyShelf lifeIndustrial and Manufacturing EngineeringManagement Information SystemsWarehouseInventory managementManagement of Technology and Innovation0502 economics and businessSettore ING-IND/17 - Impianti Industriali MeccaniciOperations managementBusinessElectrical and Electronic Engineering050203 business & management
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How selection of collaborating partners impact on the green performance of global businesses? An empirical study of green sustainability

2020

In recent days, both collaboration and sustainability have become an integral part of many global supply chains to achieve business excellence. Although previous literature and actual practices confirmed the successful implementation of sustainability practices through supply chain collaborations, it is not clear how collaborating partners can support financial and environmental performance, and hence strengthen the partnership performance in the global supply chains. To address this practice-based research question, we test the theoretical underpinning of suppliers and logistics partners in relation to required skills selection. We capture the depth of interdependencies in collaborations f…

021103 operations researchStrategy and ManagementSupply chain05 social sciences0211 other engineering and technologiesSupply chain collaboration02 engineering and technologyManagement Science and Operations ResearchSettore ING-IND/35 - Ingegneria Economico-GestionaleIndustrial and Manufacturing EngineeringComputer Science Applicationsgreen operations partners’ selection Supply chain collaboration sustainabilityEmpirical research0502 economics and businessSustainabilityBusiness excellenceBusiness050203 business & managementSelection (genetic algorithm)Industrial organization
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