Search results for "Operations Research"

showing 10 items of 1297 documents

European Common Transport Policy and Short‐Sea Shipping: Empirical Evidence Based on Modal Choice Models

2009

Abstract This article aims to find the determinants of mode choice decisions for Spanish full lorry and full container loads shipments to the rest of Europe in four productive sectors: agroindustry, ceramic tiles, motor vehicle parts and household appliances. To this end exhaustive fieldwork was carried out and a database constructed, including 507 observations collected from transport decision‐makers. A binary logit is used to estimate a modal choice model where the two modes considered are road transport and Short‐Sea Shipping. The estimation of the model stresses the importance of a politico‐economic evaluation of how to modify the modal split, paying particular attention to the role tha…

EstimationTruckModalEmpirical researchOperations researchContainer (abstract data type)Short sea shippingEconomicsTransportationEmpirical evidenceMode choiceTransport Reviews
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R&D Offshoring and the Productivity Growth of European Regions

2013

The recent increase in R&D offshoring have raised fears that knowledge and competitiveness in advanced countries may be at risk of `hollowing out\'. At the same time, economic research has stressed that this process is also likely to allow some reverse technology transfer and foster growth at home. This paper addresses this issue by investigating the extent to which R&D offshoring is associated with productivity dynamics of European regions. We find that offshoring regions have higher productivity growth, but this positive effect fades down with the number of investment projects carried out abroad. A large and positive correlation emerge between the extent of R&D offshoring and the home reg…

Europe; Foreign investments; R&D offshoring; Regional productivity;Strategy and Managementjel:C23International tradeManagement Science and Operations ResearchPositive correlationjel:F23Management of Technology and Innovation0502 economics and businessEconomicsEconomic geographyForeign investments050207 economicsjel:O47ProductivityEconomic researchOffshoringbusiness.industry05 social sciencesInvestment (macroeconomics)Europejel:O52R&D O shoring Regional Productivity Foreign Investments EuropeR&D offshoring8. Economic growthTechnology transferR&D Offshoring; Regional Productivity; Foreign Investments; EuropeRegional productivityjel:R11business050203 business & management
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A new approach to exergoeconomic analysis and design of variable demand energy systems

2006

Exergoeconomics is an attractive research field regarding the optimisation of design and operability where complex energy systems are concerned. The different approaches to thermoeconomics can easily achieve optimal or near-optimal solutions for the design of energy systems in industrial applications, characterised by regular energy demand profiles; for applications in buildings, however, the great number of components operating at unsteady conditions due to the demand variability make these methodologies hard to use. Furthermore, in project phases of complex plants such as Combined Heat and Power (CHP) or Combined Heat Cooling and Power (CHCP), energy demand can be satisfied with different…

ExergyEngineeringOperabilityOperations researchbusiness.industryMechanical EngineeringThermoeconomicsBuilding and ConstructionPollutionIndustrial and Manufacturing EngineeringField (computer science)Power (physics)Variable (computer science)General EnergyElectrical and Electronic EngineeringProject managementProcess engineeringbusinessEnergy (signal processing)Civil and Structural EngineeringEnergy
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A Stackelberg-game approach to support the design of logistic terminals

2014

This paper deals with the design of logistic terminals taking Sicily, in the South of Italy, as a case study. It focuses on consolidation terminals for truckers and addresses the problem of optimising location pattern and public share in investments. This problem is solved through a Stackelberg game between the designer and the collective of road carriers. So a bilevel approach combines a system-optimum problem, at the upper level, with the carrier equilibrium problem, at the lower level. The choice behaviour of the lower-level player is simulated by a random utility model. The output of the game suggests that private companies and society should share the investments and the public contrib…

ExploitOperations researchGeography Planning and DevelopmentTransportationLoad factorEconomies of scaleConsolidation (business)Location patternEconomicsStackelberg competitionEquilibrium problemLogistic terminal design Load factor optimisation Public share in investment Bilevel noncooperative game Discrete location modelUtility modelGeneral Environmental ScienceJournal of Transport Geography
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Joint route planning under varying market conditions

2007

PurposeTo provide empirical evidence on the level of savings that can be attained by joint route planning and how these savings depend on specific market characteristics.Design/methodology/approachJoint route planning is a measure that companies can take to decrease the costs of their distribution activities. Essentially, this can either be achieved through horizontal cooperation or through outsourcing distribution to a logistics service provider. The synergy value is defined as the difference between distribution costs in the original situation where all entities perform their orders individually, and the costs of a system where all orders are collected and route schemes are set up simulta…

ExploitOperations researchbusiness.industryComputer scienceDistribution management/dk/atira/pure/sustainabledevelopmentgoals/partnershipsHorizontal cooperation;Distribution;Outsourcing;Vehicle routing with time windows;RetailDistribution management systemjel:L92TransportationHorizontal cooperation; Distribution; Outsourcing; Vehicle routing with time windows; RetailService providerOutsourcingOutsourcingEconomies of scaleSDG 17 - Partnerships for the GoalsManagement of Technology and InnovationBenchmark (surveying)Value (economics)jel:R41businessEmpirical evidence
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Joint Route Planning under Varying Market Conditions

2006

Purpose - To provide empirical evidence on the level of savings that can be attained by joint route planning and how these savings depend on specific market characteristics.Design/methodology/approach - Joint route planning is a measure that companies can take to decrease the costs of their distribution activities. Essentially, this can either be achieved through horizontal cooperation or through outsourcing distribution to a Logistics Service Provider. The synergy value is defined as the difference between distribution costs in the original situation where all entities perform their orders individually, and the costs of a system where all orders are collected and route schemes are set up s…

ExploitOperations researchbusiness.industrymedia_common.quotation_subjectService providerOutsourcingEconomies of scaleOriginalityVehicle routing problemOperations managementbusinessRoute planningEmpirical evidencemedia_commonSSRN Electronic Journal
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Multi-directional vs. mono-directional multi-step strategies for single point incremental forming of non-axisymmetric components

2020

Abstract Multi Stage approach is used in Single Point Incremental Forming (SPIF) to overcome one of the main forming limitations, namely the maximum wall angle, characterizing the single stage process. In this paper, different multi-path strategies for the production of parts with flat edges are considered in order to evaluate the best solution in terms of feasibility and geometrical accuracy of the final part: A) mono-directional incremental draw angle; B) mono-directional incremental draw angle with increasing part side; C) Multi-directional approach with non-horizontal path planes. Strain evaluation by means of CGA (Circular Grid Analysis) and defect analysis have been carried out in ord…

FEM0209 industrial biotechnologyMaterials scienceAluminium alloySingle stageStrategy and ManagementGrid analysisNumerical analysisIncremental formingRotational symmetryGeometry02 engineering and technologyManagement Science and Operations Research021001 nanoscience & nanotechnologyMulti-step toolpathIndustrial and Manufacturing EngineeringFinite element methodMulti stage020901 industrial engineering & automationMulti directionalSingle point0210 nano-technologyJournal of Manufacturing Processes
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Nash codes for noisy channels

2012

This paper studies the stability of communication protocols that deal with transmission errors. We consider a coordination game between an informed sender and an uninformed decision maker, the receiver, who communicate over a noisy channel. The sender's strategy, called a code, maps states of nature to signals. The receiver's best response is to decode the received channel output as the state with highest expected receiver payoff. Given this decoding, an equilibrium or "Nash code" results if the sender encodes every state as prescribed. We show two theorems that give sufficient conditions for Nash codes. First, a receiver-optimal code defines a Nash code. A second, more surprising observati…

FOS: Computer and information sciencesComputer Science::Computer Science and Game TheoryTheoretical computer scienceComputer scienceInformation Theory (cs.IT)Computer Science - Information TheoryStochastic gamejel:C72jel:D82Stability (learning theory)Data_CODINGANDINFORMATIONTHEORYManagement Science and Operations Researchsender-receiver game communication noisy channel91A28Computer Science ApplicationsComputer Science - Computer Science and Game TheoryBest responseCode (cryptography)Coordination gameQA MathematicsDecoding methodsCommunication channelComputer Science and Game Theory (cs.GT)Computer Science::Information Theory
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Some complexity and approximation results for coupled-tasks scheduling problem according to topology

2016

International audience; We consider the makespan minimization coupled-tasks problem in presence of compatibility constraints with a specified topology. In particular, we focus on stretched coupled-tasks, i.e. coupled-tasks having the same sub-tasks execution time and idle time duration. We study several problems in framework of classic complexity and approximation for which the compatibility graph is bipartite (star, chain,. . .). In such a context, we design some efficient polynomial-time approximation algorithms for an intractable scheduling problem according to some parameters.

FOS: Computer and information sciencesCoupled-task scheduling model[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Computer science0211 other engineering and technologies0102 computer and information sciences02 engineering and technologyManagement Science and Operations ResearchComputational Complexity (cs.CC)Topology01 natural sciencesExecution timeTheoretical Computer ScienceComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)021103 operations researchJob shop schedulingPolynomial-time approximation algorithmApproximation algorithmCompatibility graphComplexityIdle timeComputer Science ApplicationsComputer Science - Computational Complexity[ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]010201 computation theory & mathematicsCompatibility (mechanics)Bipartite graphMinification
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Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization

2014

Abstract Estimation of Distribution Algorithms (EDAs) require flexible probability models that can be efficiently learned and sampled. Restricted Boltzmann Machines (RBMs) are generative neural networks with these desired properties. We integrate an RBM into an EDA and evaluate the performance of this system in solving combinatorial optimization problems with a single objective. We assess how the number of fitness evaluations and the CPU time scale with problem size and complexity. The results are compared to the Bayesian Optimization Algorithm (BOA), a state-of-the-art multivariate EDA, and the Dependency Tree Algorithm (DTA), which uses a simpler probability model requiring less computati…

FOS: Computer and information sciencesMathematical optimizationInformation Systems and ManagementOptimization problemGeneral Computer SciencePopulationComputer Science::Neural and Evolutionary Computation0211 other engineering and technologiesBoltzmann machine02 engineering and technologyManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringEvolutionary computation0202 electrical engineering electronic engineering information engineeringNeural and Evolutionary Computing (cs.NE)educationMathematicseducation.field_of_study021103 operations researchArtificial neural networkI.2.6I.2.8Computer Science - Neural and Evolutionary ComputingEstimation of distribution algorithmModeling and SimulationScalabilityCombinatorial optimization020201 artificial intelligence & image processingI.2.6; I.2.8Algorithm
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