24th European Conference on Operational Research (EURO XXIV). Lisboa, 11 a 14 de Julho de 2010 (Comunicação).This contribution will focus on Computational Tools of Open-Source Software in OR Education. Some educational experiences in the area of Forecasting; Simulation; Graphs and Networks; Decision Theory and Linear Programming based on: R 2.10.0, Scilab 5.1.1 and an Open Source Spreadsheet will be illustrated, with a brief reference to the acceptance of pupils and colleagues

Cavique, Luís

Mendes, Armando B.

Santos, Jorge M. A.

Repositório da Universidade dos Açores

Open-Source Software in OR Education Invited abstract in session TD-21: Software for OR/MS II - Open Source, stream Software for OR/MS. Tuesday, 14:00-15:20 Room: 6.2.47 Authors (first author is the speaker) 1. Jorge Santos   Matemaatica, Univ Evora 2. LuÃs Cavique   DCeT, Universidade Aberta 3. Armando Mendes   Mathematics, Azores University Abstract This contribution will focus on Computational Tools of Open-Source Software in OR Education. Some educational experiences in the area of Forecasting; Simulation; Graphs and Networks; Decision Theory and Linear Programming based on: R 2.10.0, Scilab 5.1.1 and an Open Source Spreadsheet will be illustrated, with a brief reference to the acceptance of pupils and colleagues. Keywords  Education and Distance Learning  Open Source Software  Optimization Modeling Status: accepted   TD-21 EURO 24 - Lisbon 2010We address a situation where machines process one cutting pattern at a timeand equal pieces cut from the patterns are piled in stacks in the work area. Thesequence in which preset cutting patterns are processed can affect the flow andtotal completion time, so it is desirable to optimize the occupation of the stacksto eliminate unnecessary dispersion. A solution can be modelled by an intervalgraph exhibiting a set of intervals that match the duration of stacks. We pro-pose an IP model that reduces the occupation of the stacks, by adding the leastnumber of edges to the graph. TD-21Tuesday, 14:00-15:206.2.47Software for OR/MS II - Open SourceStream: Software for OR/MSInvited sessionChair: Vinícius Armentano, Faculdade de Engenharia Elétrica e deComputação, Universidade de Campinas, FEEC-UNICAMP- CP6101, Av. Albert Einstein 400, 13083-970, Campinas, São Paulo,Brazil, vinicius@densis.fee.unicamp.br1 - Open-Source Software in OR EducationJorge Santos, Matemaatica, Univ Evora, Rua Romão Ramalho,59, 7000-671 Évora, 7000-671, Évora, Portugal,jmas@uevora.pt, Luís Cavique, Armando MendesThis contribution will focus on Computational Tools of Open-Source Softwarein OR Education. Some educational experiences in the area of Forecasting;Simulation; Graphs and Networks; Decision Theory and Linear Programmingbased on: R 2.10.0, Scilab 5.1.1 and an Open Source Spreadsheet will be illus-trated, with a brief reference to the acceptance of pupils and colleagues.2 - Parallel Machine Scheduling Using Free Software: anApplicationAntónio Duarte, Instituto Politécnico de Bragança, Campus deSanta Apolónia, Apartado 1038, 5301-854, Bragança, Portugal,aduarte@ipb.pt, J. M. Valério de CarvalhoWe will show how to implement large scale optimization by only using freelyavailable software tools. We solve exactly a parallel machine scheduling prob-lem with identical parallel machines and malleable tasks, subject to arbitraryrelease dates and due dates. The objective is to minimize a function of late workand setup costs. We use the COIN-OR BCP framework to implement columngeneration to solve a model that results from a Dantzig-Wolfe decomposition,and also CRIFOR MCFZIB to solve an equivalent network flow model. Com-putational results are presented.3 - Consumers and Suppliers Decision Process in Informa-tion System MarketsJoão Rosário, Marketing, Escola Superior de ComunicaçãoSocial-Instituto Politécnico de Lisboa, Portugal,jrosario@escs.ipl.pt, António Palma dos ReisThe objective of this presentation is to discuss the consumer decision processin the Information Systems markets and how these markets evolve influencedby these consumer decisions and the suppliers’ decisions and business models.Will be discussed the factors that have influence on the consumers buying pro-cess decision and the option between Proprietary Software and Open SourceSoftware in the Operating Systems and Office Suites categories; the gratuitydegree of Open Source Software; and also on the supply side the advantagesand disadvantages regarding innovation, software developing organization andmarket survival of Open Source Software versus Proprietary Software businessmodels.4 - Fleet Deployment Optimization for Tramp ShippingVinícius Armentano, Faculdade de Engenharia Elétrica e deComputação, Universidade de Campinas, FEEC-UNICAMP- CP6101, Av. Albert Einstein 400, 13083-970, Campinas, São Paulo,Brazil, vinicius@densis.fee.unicamp.br, Rodrigo BranchiniWe address a tactical planning problem faced by many tramp shipping com-panies that have cargo contracts which they are committed to carry, while try-ing to serve optional spot cargoes to increase their revenue over medium-termhorizon. The decisions include the number and type of vessels deployed, theassignment of vessels to contractual and spot voyages and the determinationof vessel routes and schedules in order to maximize the profit. This problemis modeled as a mixed integer programming which is solved using COIN-ORopen source platform. Computational results are reported. TD-22Tuesday, 14:00-15:203.1.10Health Care Policy Making IIStream: Health Care Management [c]Contributed sessionChair: Jose luis Andrade, Industrial Management, School ofEngineering, University of Seville, Camino de los Descubrimientoss/n, 41092, Seville, Spain, jlandrade@esi.us.es1 - Innovative Approach to Design Decisions on a RegionalNetwork of Clinical LaboratoriesJose luis Andrade, Industrial Management, School ofEngineering, University of Seville, Camino de losDescubrimientos s/n, 41092, Seville, Spain, jlandrade@esi.us.esWe present a model supporting design and operation decisions on a regionalnetwork of clinical laboratories (able to reassign resources, redistribute work-loads and reorganize flows), modelled as a multicommodity flow problemwhich conducts to a MIP formulation. We build a prototype tool for HealthCare Managers to analyse scenarios and select the best options to improve thebehaviour of the whole network. It is a graphical tool that launches an opti-mization process and supports: zoom, iconographical presentation of solutionsand on-click access to input data or output solution, among others.2 - A Case-based Reasoning System for RadiotherapyTreatment Planning in Brain CancerRupa Jagannathan, Computer Science, University of Nottingham,Jubilee Campus, Wollaton Road, NG8 1BB, Nottingham,Nottinghamshire, United Kingdom, rxj@cs.nott.ac.uk, SanjaPetrovic, Angela Mckenna, Louise NewtonA decision support system for brain cancer radiotherapy treatment planningis presented. The aim of treatment planning is to attain a uniform tumourici-dal dose for the tumour cells while minimizing the damage caused to adjacenthealthy tissue and organs. This is a complex decision-making process that relieson subjective experience and expert clinical domain knowledge. We develop acase-based reasoning system that generates treatment plans for new patientsbased on the plans for previous similar patients. Our experiments, which usereal brain cancer patient cases, show promising results.3 - Decision Support System for Warfarin Therapy Manage-mentBarbaros Yet, Technology Management and Economics,Chalmers University of Technology, Sweden,barbaros@student.chalmers.se, Kaveh Bastani, Hendry Raharjo,Svante Lifvergren, Bo BergmanWarfarin therapy is known as a complex process due to variation in the pa-tients’ response.Failure to deal with such variation may lead to thrombosis orbleeding.There have been studies done on investigating the sources of variation,such as alcohol consumption and interacting drugs. However, this knowledgeis, unfortunately, often used loosely by the physicians.This paper proposes adecision support system to integrate experts’ knowledge in a systematic wayusing Bayesian Network.The model is built upon literature review in medicalfields and interviews with doctors in a Swedish hospital. TD-23Tuesday, 14:00-15:206.2.49MOO: Nonlinear Multi-ObjectiveOptimization Techniques in ActionStream: Multi-Objective OptimizationInvited sessionChair: Jussi Hakanen, Dept. of Mathematical InformationTechnology, University of Jyväskylä, P.O. Box 35 (Agora), FI-40014,University of Jyväskylä, Finland, jussi.hakanen@jyu.fiChair: Kaisa Miettinen, Dept. of Mathematical InformationTechnology, University of Jyvaskyla, P.O. Box 35 (Agora), FI-40014,University of Jyvaskyla, Finland, kaisa.miettinen@jyu.fi180

Open-Source software in OR education

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Open-Source software in OR education

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