Search results for "Order"

showing 10 items of 11015 documents

Physical Load Among Construction Workers and Analysis with Objective Ergonomics Research Method

2016

There is growing number of work related musculoskeletal disorders among workers in construction industry. Employees in construction professions admit physical load and discomfort in various body parts after the work. Accordingly to Eurostat statistical data 60 % of total work related diseases are attributed to musculoskeletal disorders in Latvia. The aim of this study was to determine physical load of construction auxiliary workers and bricklayers using objective ergonomics research method HR monitoring and subjective ergonomic risk assessment methods. The research involved full time 8 auxiliary construction workers and 7 bricklayers. Analysis of the heart rate monitoring data proved that o…

0209 industrial biotechnologyEngineeringFull-timebusiness.industryWork-related musculoskeletal disordersHuman factors and ergonomicsWorkload02 engineering and technologyParticipatory ergonomics020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringWork (electrical)Physical loadOperations managementbusinessResearch method
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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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Decomposition and Mean-Field Approach to Mixed Integer Optimal Compensation Problems

2016

Mixed integer optimal compensation deals with optimization problems with integer- and real-valued control variables to compensate disturbances in dynamic systems. The mixed integer nature of controls could lead to intractability in problems of large dimensions. To address this challenge, we introduce a decomposition method which turns the original n-dimensional optimization problem into n independent scalar problems of lot sizing form. Each of these problems can be viewed as a two-player zero-sum game, which introduces some element of conservatism. Each scalar problem is then reformulated as a shortest path one and solved through linear programming over a receding horizon, a step that mirro…

0209 industrial biotechnologyMathematical optimizationSpecial ordered setOptimization problemControl and OptimizationLinear programmingBranch and priceApplied Mathematics010102 general mathematics02 engineering and technologyManagement Science and Operations ResearchOptimal control01 natural sciencesOptimal controlMixed integer optimization020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaShortest path problemMean-field gameDecomposition method (constraint satisfaction)0101 mathematicsSettore MAT/09 - Ricerca OperativaMean-field games; Optimal control; Mixed integer optimizationInteger programmingMathematics
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Multi-band identification for enhancing bearing fault detection in variable speed conditions

2020

Abstract Rolling element bearings are crucial components in rotating machinery, and avoiding unexpected breakdowns using fault detection methods is an increased demand in industry today. Variable speed conditions render a challenge for vibration-based fault diagnosis due to the non-stationary impact frequency. Computed order tracking transforms the vibration signal from time domain to the shaft-angle domain, allowing order analysis with the envelope spectrum. To enhance fault detection, the bearing resonance frequency region is isolated in the raw signal prior to order tracking. Identification of this region is not trivial but may be estimated using kurtosis-based methods reported in the li…

0209 industrial biotechnologyNoise (signal processing)Computer scienceMechanical EngineeringAerospace EngineeringCondition monitoring02 engineering and technologyFault (power engineering)01 natural sciencesNoise floorFault detection and isolationComputer Science Applications020901 industrial engineering & automationControl and Systems Engineering0103 physical sciencesSignal ProcessingCepstrumTime domain010301 acousticsOrder trackingAlgorithmCivil and Structural EngineeringMechanical Systems and Signal Processing
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Designing Cognitive Cities

2018

The following text intends to give an introduction into some of the basic ideas which determined the conception of this book. Thus, the first part of this article introduces the terms “City”, “Smart City” and “Cognitive City”. The second part gives an overview of design theories and approaches such as Action Design Research and Ontological Design (a concept in-the-making), in order to deduce from a theoretical point of view some of the principles that needs to be taken into account when designing the Cognitive City. The third part highlights some concrete techniques that can be usefully applied to the problem of citizen communication for Cognitive Cities (namely Metaheuristics, Fuzzy Sets a…

0209 industrial biotechnologyPoint (typography)Settore INF/01 - InformaticaComputer scienceManagement scienceFuzzy setCognitionComputational intelligence02 engineering and technologySettore MAT/01 - Logica MatematicaFuzzy logic020901 industrial engineering & automationSmart CitiesOrder (exchange)Smart city0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingMetaheuristic
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Manufacturing Risk Identification in the Steel Industry

2020

The steel manufacturing industry is an inseparable part of the nuclear power plant construction project. This industry is a business full of dynamics, risks, and challenges. The implementation of risk management becomes an obligation that must be executed in managing this very complex project. In general, risk management in manufacturing includes steps to understand and identify potential problems that may occur, evaluate, monitor, and handle risks. The main risk management objectives are to prevent or minimize adverse effects due to unforeseen events through risk aversion or preparation of contingency plans related to those risks. This paper describes the identification of risk factors and…

0209 industrial biotechnologynuclear power plantindustriesComputer sciencesteel manufacturing02 engineering and technology010501 environmental sciencesrisk management01 natural scienceslaw.invention020901 industrial engineering & automationOrder (exchange)lawSteel millNuclear power plantObligationlcsh:Environmental sciencesRisk management0105 earth and related environmental scienceslcsh:GE1-350Contingency planbusiness.industryRisk aversionIdentification (information)Risk analysis (engineering)businessE3S Web of Conferences
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Measuring Social Responsibility: A Multicriteria Approach

2016

In this chapter we present a portfolio selection model for Socially Responsible Investment. The model, following the spirit of Socially Responsible Investment, consists of two different steps. Firstly, a social screening is applied in order to obtain the feasible set of assets accomplishing the socially responsible investment policy of the assets’ manager. In this step, an indicator is obtained for the measurement of the social responsibility degree of an asset. Assets are then ranked using this indicator from the most socially responsible to the less socially responsible. In a second step, once the feasible set is obtained, composed of those socially responsible assets verifying the screen…

021103 operations researchManagement scienceFeasible region0211 other engineering and technologies02 engineering and technologyAsset (computer security)MicroeconomicsSocially responsible investmentOrder (exchange)0202 electrical engineering electronic engineering information engineeringPortfolio020201 artificial intelligence & image processingBusinessSocial responsibilitySelection (genetic algorithm)
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The Integration of the Supply Chain as a Dynamic Capability for Sustainability: The Case of an Innovative Organic Company

2018

Numerous research projects have demonstrated that a firm’s ability to integrate, build, and reconfigure internal and external competencies to adapt to changes in its environment is a key capability for its competitiveness. However, in the case of developing the capabilities needed to implement innovation, we have found that the ability to integrate knowledge into the supply chain is also crucial since it is an essential requirement for bringing in technological change and product innovation. The purpose of this chapter is to understand the role of supplier integration in the implementation of radical innovation. First, we propose a theoretical model to connect supplier integration as a dyna…

021103 operations researchProcess managementProduct innovationTechnological changeSupply chain05 social sciences0211 other engineering and technologies02 engineering and technologyOrder (exchange)General partnership0502 economics and businessSustainabilityKey (cryptography)BusinessDynamic capabilities050203 business & management
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Ranking corporate sustainability: a flexible multidimensional approach based on linguistic variables

2017

Corporate sustainability implies a compromise between the present environmental, social, and economic needs of a firm's stakeholders and their future needs. Corporate sustainability is therefore a multidimensional concept. Nowadays, several independent rating agencies rate firms in terms of environmental, social, and governance (ESG) criteria. These ratings are usually used by main sustainability indices such as the Dow Jones Sustainability Index, FTSE4 Good, Stoxx Sustainability Index, or Euronext Vigeo Family to select companies to invest in. Only those firms performing better than the average of their sector are selected. However, although providing linguistic ratings about the performan…

021103 operations researchStrategy and ManagementCorporate governance0211 other engineering and technologiesTOPSIS02 engineering and technologyManagement Science and Operations ResearchMultiple-criteria decision analysisLinguisticsComputer Science ApplicationsEnvironmental Sustainability IndexRankingCorporate sustainabilityOrder (exchange)Management of Technology and InnovationSustainability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingBusinessBusiness and International ManagementInternational Transactions in Operational Research
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Sharing R&D investments in breakthrough technologies to control climate change

2017

This paper examines international cooperation on technological development as an alternative to international cooperation on GHG emission reductions. In order to analyze the scope of cooperation, a three-stage technology agreement formation game is solved. First, countries decide whether or not to sign up to the agreement. Then, in the second stage, the signatories (playing together) and the non-signatories (playing individually) select their investment in R&D. In this stage, it is assumed that the signatories not only coordinate their levels of R&D investment but also pool their R&D efforts to fully internalize the spillovers of their investment in innovation. Finally, in the third stage, …

021110 strategic defence & security studiesEconomics and EconometricsScope (project management)05 social sciencesControl (management)0211 other engineering and technologiesClimate change02 engineering and technologyInvestment (macroeconomics)MicroeconomicsOrder (exchange)Greenhouse gas0502 economics and businessDamagesEconomicsProduction (economics)050207 economicsIndustrial organizationOxford Economic Papers
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