Search results for "Management Science"

showing 10 items of 1017 documents

A decomposition approach for multidimensional knapsacks with family-split penalties

2022

The optimization of Multidimensional Knapsacks with Family-Split Penalties has been introduced in the literature as a variant of the more classical Multidimensional Knapsack and Multi-Knapsack problems. This problem deals with a set of items partitioned in families, and when a single item is picked to maximize the utility, then all items in its family must be picked. Items from the same family can be assigned to different knapsacks, and in this situation split penalties are paid. This problem arises in real applications in various fields. This paper proposes a new exact and fast algorithm based on a specific Combinatorial Benders Cuts scheme. An extensive experimental campaign computational…

decomposition methodsknapsack problemsManagement of Technology and InnovationStrategy and Managementdecomposition methoddiscrete optimizationbenders cutsbenders cutknapsack problemManagement Science and Operations ResearchBusiness and International Managementinteger programmingComputer Science Applications
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“To Own, or not to Own?” A multilevel analysis of intellectual property right policies' on academic entrepreneurship

2017

The political environment around universities has led them to create an infrastructure to manage academic inventions. While some consider that the advantages of a university entrepreneurial structure outweigh any potential negative effects, others question their detrimental effect on academic scientists’ entrepreneurial behavior. However, this debate remains unresolved as none of these two views have been fully empirically supported. Using multilevel models for a population of 2230 professors in 27 universities in Canada (82 individuals per unit on average), we test the effect of three features of institutional intellectual property right policy characteristics, namely, property rights (own…

education.field_of_studyEntrepreneurshipMultilevel modelsStrategy and ManagementIntellectual property rights policies05 social sciencesMultilevel modelPopulationManagement Science and Operations ResearchIntellectual property050905 science studiesCommercializationPoliticsProperty rightsManagement of Technology and InnovationAcademic entrepreneurship0502 economics and businessSociologyObligation0509 other social sciencesMarketingeducation050203 business & managementResearch Policy
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Scatter search for an uncapacitated p-hub median problem

2015

Scatter search is a population-based method that has been shown to yield high-quality outcomes for combinatorial optimization problems. It uses strategies for combining solution vectors that have proved effective in a variety of problem settings. In this paper, we present a scatter search implementation for an NP -hard variant of the classic p-hub median problem. Specifically, we tackle the uncapacitated r-allocation p-hub median problem, which consists of minimizing the cost of transporting the traffics between nodes of a network through special facilities that act as transshipment points. This problem has a significant number of applications in practice, such as the design of transportati…

education.field_of_studyMathematical optimizationGeneral Computer ScienceRelation (database)Transshipment (information security)PopulationCombinatorial optimization problemExtension (predicate logic)Management Science and Operations ResearchModeling and SimulationCombinatorial optimizationeducationMetaheuristicImplementationMathematicsComputers & Operations Research
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A hybrid evolution strategy for the open vehicle routing problem

2010

This paper presents a hybrid evolution strategy (ES) for solving the open vehicle routing problem (OVRP), which is a well-known combinatorial optimization problem that addresses the service of a set of customers using a homogeneous fleet of non-depot returning capacitated vehicles. The objective is to minimize the fleet size and the distance traveled. The proposed solution method manipulates a population of @m individuals using a (@m+@l)-ES; at each generation, a new intermediate population of @l offspring is produced via mutation, using arcs extracted from parent individuals. The selection and combination of arcs is dictated by a vector of strategy parameters. A multi-parent recombination …

education.field_of_studyMathematical optimizationGeneral Computer Sciencebusiness.industryComputer scienceOffspringPopulationManagement Science and Operations ResearchTabu searchSearch algorithmModeling and SimulationVehicle routing problemCombinatorial optimizationLocal search (optimization)Guided Local SearchArtificial intelligencebusinesseducationEvolution strategyMetaheuristicComputers & Operations Research
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A Population-Based Approach to the Resource-Constrained Project Scheduling Problem

2004

We present a population-based approach to the RCPSP. The procedure has two phases. The first phase handles the initial construction of a population of schedules and these are then evolved until high quality solutions are obtained. The evolution of the population is driven by the alternative application of an efficient improving procedure for locally improving the use of resources, and a mechanism for combining schedules that blends scatter search and path relinking characteristics. The objective of the second phase is to explore in depth those vicinities near the high quality schedules. Computational experiments on the standard j120 set, generated using ProGen, show that our algorithm produ…

education.field_of_studyScheduleMathematical optimizationComputer sciencemedia_common.quotation_subjectPopulationResource constrainedGeneral Decision SciencesManagement Science and Operations ResearchProject scheduling problemSet (abstract data type)Path (graph theory)Theory of computationQuality (business)Heuristicseducationmedia_commonAnnals of Operations Research
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Food Security Is None Of Your Business? Food Supply Chain Management In Support Of A Sustainable Food System

2017

Food security is the principal outcome of any given food system and it can be defined in terms of a sustainable food system where the core goal is to feed everyone sustainably, equitably and healthily. A sustainable food system addresses needs for availability, affordability and accessibility, is diverse, ecologically-sound and resilient, and builds the capabilities and skills necessary for future generations. This paper identifies the essential elements of food supply chain management in support of a sustainable food system, which ultimately enhances food security. The existing food supply chain and food system literature is synthesized in order to study the correspondence between public i…

elintarviketuotantoInformation Systems and ManagementSupply chain managementFood securitykestävä kehitysFood industrybusiness.industryelintarvikeketjutManagement Science and Operations ResearchFood safetyManagement Information SystemsruokaturvaFood packagingCommerceSustainable food systemsustainable food systemFood supplyfood supply chain managementFood systemsStatistics Probability and UncertaintyMarketingbusinessOperations and Supply Chain Management: An International Journal
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Which firms benefit from investments in green energy technologies? : The effect of energy costs

2019

Abstract Firms will invest in green energy technologies only if these investments have an economic pay-off. Based on unique firm-level data from Austria, Germany, and Switzerland, we find that the marginal effect of investments in green energy technologies on productivity is positive only for the 19% of firms with the highest energy costs. These results have major implications for companies and policy makers regarding the design of green energy policies and incentives.

energy technologiesNatural resource economicsStrategy and ManagementEnergy (esotericism)ta1172tuottavuusGreen innovationekoenergiaManagement Science and Operations Research050905 science studies7. Clean energyManagement of Technology and Innovationenergiakustannukset0502 economics and businessenergy inputProductivityta512business.industry05 social sciencesinvestoinnityrityksetRenewable energyinnovaatiotIncentive13. Climate actionenergiateknologiagreen innovationfirm productivityenergy costsBusiness0509 other social sciences050203 business & managementResearch Policy
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Memory‐type control charts for censored reliability data

2023

Control charts are commonly used to monitor a process to detect undesirable changes. The main goal of this work is to propose exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts to track a process by utilizing type-I censored generalized exponential (GE) distributed data. In particular, the censored data are replaced with the conditional expected value (CEV). A comparison between CUSUM and CUSUM ignoring unobserved covariates (CUSUM-IUC) charts is also a part of this study. The GE distribution is considered due to its application in reliability analysis. The performance of the charts is evaluated by using the average run length along with the standard devi…

exponentially weighted moving averageAverage run lengthSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E Tecnologicastandard deviation of run lengthcumulative sumManagement Science and Operations ResearchType-I censoringSafety Risk Reliability and QualityQuality and Reliability Engineering International
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www.Personal_Asset_Allocation.

2004

Today consumers demand delivery of financial services anytime and anywhere, and their needs and desires are evolving rapidly. The World Wide Web provides a rich channel for distributing customized services to a range of clients. An Internet-based system developed by Prometeia S.r.l. for Italian banks—both traditional and e-banks—supports consumers and financial advisors in planning personal finances. The system provides advice on allocating personal assets to fund consumers' needs, such as paying for a house, children's education, retirement, or other projects. State-of-the-art models of financial engineering—based on scenario optimization—develop plans that are consistent with clients' go…

financial institutionbusiness.industryManagement of Technology and InnovationStrategy and ManagementfinanceinvestmentBusinessfinance; investment; financial institutions; banksManagement Science and Operations ResearchMarketingFinancial servicesbanks
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A non-cooperative approach to the folk rule in minimum cost spanning tree problems

2023

This paper deals with the problem of finding a way to distribute the cost of a minimum cost spanning tree problem between the players. A rule that assigns a payoff to each player provides this distribution. An optimistic point of view is considered to devise a cooperative game. Following this optimistic approach, a sequential game provides this construction to define the action sets of the players. The main result states the existence of a unique cost allocation in subgame perfect equilibria. This cost allocation matches the one suggested by the folk rule. The authors thank the support of the Spanish Ministry of Science, Innovation and Universities, the Spanish Ministry of Economy and Compe…

game theoryInformation Systems and Managementcost allocationGeneral Computer Scienceminimum cost spanning treesubgame perfect equilibriumManagement Science and Operations ResearchUNESCO::CIENCIAS TECNOLÓGICASIndustrial and Manufacturing EngineeringCost allocationGame TheorySubgame perfect equilibriumModeling and SimulationMinimum cost spanning tree
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