Search results for "Project management"

showing 10 items of 1539 documents

A simulation/optimization model for selecting infrastructure alternatives in complex water resource systems

2010

The paper introduces a simulation/optimization procedure for the assessment and the selection of infrastructure alternatives in a complex water resources system, i.e. in a multisource (reservoirs) multipurpose bulk water supply scheme. An infrastucture alternative is here a vector X of n decision variables describing the candidate expansions/new plants/water transfers etc. Each parameter may take on a discrete number of values, with its own investment cost attached. The procedure uses genetic algorithms for the search of the optimal vector X through operators mimicking the mechanisms of natural selection. For each X, the value of the objective function (O.F.) is assessed via a simulation mo…

Mathematical optimizationEngineeringConservation of Natural ResourcesEnvironmental EngineeringUrban PopulationWater supplyInfrastructure optimizationWaste Disposal Fluidsimulation optimization water resource systemsResource AllocationWater PurificationResource (project management)Water SupplyHumansComputer SimulationTherapeutic IrrigationWater Science and TechnologyCost–benefit analysisbusiness.industrySimulation modelingEnvironmental resource managementModels TheoreticalInvestment (macroeconomics)DroughtsWater resourcesItalyMinificationbusinessAlgorithms
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A double genetic algorithm for the MRCPSP/max

2011

This paper presents a heuristic solution procedure for a very general resource-constrained project scheduling problem. Here, multiple execution modes are available for the individual activities of the project. In addition, minimum as well as maximum time lags between different activities may be given. The objective is to determine a mode and a start time for each activity such that the temporal and resource constraints are met and the project duration is minimised. Project scheduling problems of this type occur e.g. in process industries. The heuristic is a two-phased genetic algorithm with different representation, fitness, crossover operator, etc., in each of them. One of the contribution…

Mathematical optimizationGeneral Computer ScienceOperations researchHeuristicbusiness.industryComputer scienceCrossoverSchedule (project management)Management Science and Operations ResearchWork in processScheduling (computing)Modeling and SimulationGenetic algorithmResource managementProject managementbusinessComputers & Operations Research
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GRASP and path relinking for project scheduling under partially renewable resources

2008

[EN] Recently, in the field of project scheduling problems the concept of partially renewable resources has been introduced. Theoretically, it is a generalization of both renewable and non-renewable resources. From an applied point of view, partially renewable resources allow us to model a large variety of situations that do not fit into classical models, but can be found in real problems in timetabling and labor scheduling. In this paper, we develop some preprocessing techniques and several heuristic algorithms for the problem. Preprocessing significantly reduces the dimension of the problems, therefore improving the efficiency of solution procedures. Heuristic algorithms based on GRASP an…

Mathematical optimizationInformation Systems and ManagementGeneral Computer Sciencebusiness.industryHeuristicComputer scienceGRASPESTADISTICA E INVESTIGACION OPERATIVAScheduling (production processes)Partially renewable resourcesSchedule (project management)Management Science and Operations ResearchIndustrial and Manufacturing EngineeringProject management and schedulingScheduling (computing)Renewable energyModeling and SimulationGRASPHeuristicsPath relinkingProject managementbusinessHeuristicsRenewable resource
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Pre-processing techniques for resource allocation in the heterogeneous case

1998

The Heterogeneous Resource Allocation Problem (HRAP) deals with the allocation of resources, whose units do not all share the same characteristics, to an established plan of activities. Each activity requires one or more units of each resource which possess particular characteristics, and the objective is to find the minimum number of resource units of each type, necessary to carry out all the activities within the plan, in such a way that two activities whose processing overlaps in time do not have the same resource unit assigned. The HRAP is an NP-Complete problem and it is possible to optimally solve medium-sized HRAP instances in a reasonable time. The objective of this work is to devel…

Mathematical optimizationInformation Systems and ManagementResource (project management)General Computer ScienceComputer scienceModeling and SimulationResource allocationManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringEuropean Journal of Operational Research
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Due Dates and RCPSP

2006

Due dates are an essential feature of real projects, but little effort has been made in studying the RCPSP with due dates in the activities. This paper tries to bridge this gap by studying two problems: the TardinessRCPSP, in which the objective is total tardiness minimization and the DeadlineRCPSP, in which the due dates are strict (deadlines) and the objective is makespan minimization. The first problem is NP-hard and the second is much harder, since finding a feasible solution is already NP-hard. This paper has three objectives: Firstly to compare the performance on both problems of well-known RCPSP heuristics - priority rules, sampling procedures and metaheuristics - with new versions w…

Mathematical optimizationJob shop schedulingbusiness.industryComputer scienceTardinessProfitability indexMinificationProject managementbusinessHeuristicsMetaheuristicGenerator (mathematics)
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Partially Renewable Resources

2014

In recent years, in the field of project scheduling the concept of partially renewable resources has been introduced. Theoretically, it is a generalization of both renewable and non-renewable resources. From an applied point of view, partially renewable resources allow us to model a large variety of situations that do not fit into classical models, but can be found in real problems in timetabling and labor scheduling. In this chapter we define this type of resource, describe an integer linear formulation and present some examples of conditions appearing in real problems which can be modeled using partially renewable resources. Then we introduce some preprocessing procedures to identify infe…

Mathematical optimizationResource (project management)Computer scienceGeneralizationbusiness.industryHeuristicScheduling (production processes)businessField (computer science)Integer (computer science)Renewable resourceRenewable energy
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Integer Preemption Problems

2014

A fundamental assumption in the basic RCPSP is that activities in progress are non-preemptable. Some papers reveal the potential benefits of allowing activity interruptions in the schedule when the objective is the makespan minimization. In this chapter we consider the Maxnint_PRCPSP in which it is assumed that activities can be interrupted at any integer time instant with no cost incurred, that each activity can be split into a maximum number of parts, and that each part has a minimum duration established. We show how some procedures developed for the RCPSP can be adapted to work with the Maxnint_PRCPSP and we introduce some procedures specifically designed for this problem. Furthermore, p…

Mathematical optimizationWork (electrical)Job shop schedulingComputer sciencePreemptionWork contentMinificationSchedule (project management)Duration (project management)Integer (computer science)
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Lessons for mathematics higher education from 25 years of mathematics support

2018

International audience; The scale and scope of mathematics support within UK universities have grown significantly since the 1990s. Mathematics support has evolved from a ‘cottage industry' initiated by enthusiasts into a main-line student support provision overseen by institutional senior managers. Over this 25+ year period, the importance of the mathematical sciences in other disciplines has similarly boomed. No longer is it just engineering and physics undergraduates who need to acquire highly developed mathematical skills. Today geographers, bioscientists, sociologists and political scientists (to name but a few) have to be more skilled than ever before with understanding mathematical a…

Mathematical sciencesHigher educationbusiness.industry4. Educationmedia_common.quotation_subject[SHS.EDU]Humanities and Social Sciences/Education010102 general mathematics05 social sciences[SHS.EDU] Humanities and Social Sciences/Education050301 education01 natural sciencesThe artsFocus groupPresentationPoliticsResource (project management)Scale (social sciences)[MATH.MATH-HO]Mathematics [math]/History and Overview [math.HO][MATH.MATH-HO] Mathematics [math]/History and Overview [math.HO]Mathematics educationComputingMilieux_COMPUTERSANDEDUCATION0101 mathematicsbusiness0503 educationmedia_common
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A matheuristic for the Team Orienteering Arc Routing Problem

2015

In the Team OrienteeringArc Routing Problem (TOARP) the potential customers are located on the arcs of a directed graph and are to be chosen on the basis of an associated profit. A limited fleet of vehicles is available to serve the chosen customers. Each vehicle has to satisfy a maximum route duration constraint. The goal is to maximize the profit of the served customers. We propose a matheuristic for the TOARP and test it on a set of benchmark instances for which the optimal solution or an upper bound is known. The matheuristic finds the optimal solutions on all, except one, instances of one of the four classes of tested instances (with up to 27 vertices and 296 arcs). The average error o…

MatheuristicMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputer scienceOrienteeringDirected graphManagement Science and Operations ResearchUpper and lower boundsIndustrial and Manufacturing EngineeringVertex (geometry)Constraint (information theory)Set (abstract data type)Routing problems with profitsArc routing problemModeling and SimulationBenchmark (computing)Team Orienteering ProblemDuration (project management)MATEMATICA APLICADAArc routing
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A SYNTHETIC MEASURE FOR THE ASSESSMENT OF THE PROJECT PERFORMANCE

2009

The present paper aims to offer a synthetic project performance indicator (PPI) that aggregates two input parameters obtained by the Earned Value Analysis. The PPI is calculated by using a Fuzzy Inference System (FIS) able to single out a measure based on the input parameters, instead of formulating a mathematical model that could be a troublesome task whenever complex relations among the input variables exist. The purpose is to communicate the project performance to the stakeholders in a clear and complete way, for example, describing the PPI by means of contour lines.

Measure (data warehouse)ComputingMethodologies_PATTERNRECOGNITIONFuzzy inference systemComputer scienceContour lineSettore ING-IND/17 - Impianti Industriali MeccaniciPerformance indicatorData miningcomputer.software_genrecomputerProject Performance Measurement Earned Value Fuzzy Inference SystemTask (project management)Earned value management
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