Mostrar el registro sencillo del ítem

dc.contributor.advisorRueda Velasco, Feizar Javier.
dc.contributor.authorRodríguez Mesa, Marly Astrid
dc.date.accessioned2013-04-11T16:41:18Z
dc.date.available2013-04-11T16:41:18Z
dc.date.created2012
dc.date.issued2013-04-11
dc.identifier.citationAhmed, N. U., & Gupta, J. N. (1987). An efficient heuristic algorithm for selecting projects. Computers and Industrial Engineering. 12,(3), pp. 153-158.
dc.identifier.citationÁlamos Consulting. (2011, Julio 8). Proyectos Sector Seguros. [online]. Disponible en: www.alamoconsulting.com/proyectos/referencias/seguros
dc.identifier.citationAlinezhad, A. Zohrebandian, M & Dehdar, F. (2010). Portfolio Selection using Data Envelopment Analysis with common weights. Iranian Journal of Optimization. pp. 323-333.
dc.identifier.citationAloysius, J. A., & Rosenthal, E. C. (1999). The Selection of Joint Projects by a Consortium: Cost Sharing Mechanisms. The Journal of the Operational Research Society. 50(12), pp. 1244-1251.
dc.identifier.citationAntonelli, C. (2010). Gestión de Portafolio de Proyectos: Como seleccionar los proyectos más beneficiosos para su organización. INyES Formación para la toma de decisiones. Project manager. http://www.inyes latino.com/contenidos/2010/01/19 /Editorial_3263.php.
dc.identifier.citationApperson, C. (2005). Project selection for technology investment. Systems and Information Engineering Design Symposium.
dc.identifier.citationAragonés Beltrán, P., & Chaparro González, F. (2008). Selection of photovoltaic solar power plant investment projects. An ANP approach. Proceedings of World Academy of Science: Engineering & Technology. 34, pp. 603-613.
dc.identifier.citationArcher N.P., & Ghasemzadeh, F. (1999). An integrated framework for project portfolio selection. International Journal of Project Management. 17 (4), pp. 207216.
dc.identifier.citationArcher, N.P., & Ghasemzadeh, F. (2000). Project portfolio selection through decision support. Decision Support Systems. 29 (1), pp. 73-88.
dc.identifier.citationBejarano, I. (2011, Abril 12). [Personal Interview]. Seguros Colpatria S.A.
dc.identifier.citationBetter, M., & Glover, F. (2006). Selecting project protfolios by optimizing simulations. The Engineering Economist.
dc.identifier.citationBordley, R.F. (1998). R&D project selection versus R&D project generation. Engineering Management, IEEE Transactions. 45(4), pp. 407 - 413.
dc.identifier.citationBrown, R.E. (2006). Project selection with multiple performence objectives. Transmission and Distribution Conference and Exhibition.
dc.identifier.citationBuitrago, S. P. (sbuitrago@segurosbolivar.com.co). (2011, Marzo 10) Responde a la preguntas de voz. E-mail. Seguros Bolivar S.A.
dc.identifier.citationCabral Cardoso, C., & Payne, R.L. (1996). Instrumental and supportive use of formal selection methods in R&D project selection. Engineering Management, IEEE. 43(4), pp. 402 Î 410.
dc.identifier.citationCantillo García, P. (2011, Marzo 3). [Personal Interview]. Metlife Colombia Seguros de vida S.A.
dc.identifier.citationCarazo, A.F., & Gómez, T. (2010). Solving a comprehensive model for multiobjective project portfolio selection. Computers & Operations Research 37(4), pp. 630-639.
dc.identifier.citationCarlsson, C., & Fullér, R. (2007). A fuzzy approach to R&D project portfolio selection. International Journal of Approximate Reasoning. 44 (2), pp. 93-105.
dc.identifier.citationColdrick, S., & Lawson, C.P. (2002). A decision framework for R&D project selection. Engineering Management Conference, IEEE. 1.
dc.identifier.citationCooper, R.G. (1993). Winning at New Products. Boston: Addison-Wesley.
dc.identifier.citationCostello, D. (1983). A practical approach to R&D project selection. Technological Forecasting and Social Change. 23(4), pp. 353-368 art. pen
dc.identifier.citationChangsheng Y. (2008). A Decision-Making Approach for R&D Project Selection in a Fuzzy Environment. International Seminar on Business and Information Management. 1, pp.372-375.
dc.identifier.citationChangsheng, Y., & Yufu Ning, Q. J. (2008). A Fuzzy Multi-Criteria Evaluation Approach for R&D Project Selection. Wireless Communications, Networking and Mobile Computing. Pp 1-4.
dc.identifier.citationChen-Tung Ch. (2002). A decision model for information system project selection. Engineering Management Conference.
dc.identifier.citationChen Tung, Ch., & Hui Ling, Ch. B. (2008). A comprehensive model for selecting information system project under fuzzy environment. International Journal of Project Management. 27(4), pp. 389-399.
dc.identifier.citationChen, C-T., & Cheng H-L. (2009) A comprehensive model for selecting information system project under fuzzy environment. International Journal of Project Management. 27, pp. 389Î399.
dc.identifier.citationChen J., & Askin, R.G. (2009). Project selection, scheduling and resource allocation with time dependent returns. European Journal of Operational Research. 193 (1), pp. 23-34.
dc.identifier.citationChiu-Chi, W., & Chie-Bein, Ch.(1999). An efficient approach to prioritization projects under budget constraints. The Engineering Economist. 44(3), pp. 261 Î 275. art 9
dc.identifier.citationCleand, D. I. (1999). Project Management Î strategic desing and implementation. McGraw-Hill, New York.
dc.identifier.citationDanila, N. (1999). Strategic evaluation and solution of R&D projects. R&D Management. 19, pp. 47-62.
dc.identifier.citationDeng, H. & Wilbowo, S. (2004). A fuzzy approach to selecting information systems projects. In Proceedings of the 5th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Beijing, China
dc.identifier.citationDeng, H., & Wilbowo, S. (2008). Intelligent decision support for evaluating and selecting information systems projects. Engineering Letters. 16(3), pp. 412- 418
dc.identifier.citationDeng, H. & Wibowo, S. (2009). A decision support system for evaluating and selecting information systems projects. AIP Conference Proceedings. 1089 (1), pp. 212-223.
dc.identifier.citationDia, M (2009). A Portfolio Selection Methodology Based on Data Envelopment Analysis. INFOR: Information Systems and Operational Research.47(1). Pp 71-79
dc.identifier.citationDikmen, I.; & Birgonul, M. T. (2007). Project appraisal and selection using the analytic network process. Canadian Journal of Civil Engineering. 34(7), pp. 786-792
dc.identifier.citationDodangeh, J.; Mojahed, M.; & Yusuff, R. (2009). Best Project Selection by Using of Group TOPSIS Method. International Association of Computer Science and Information Technology. pp.50-53.
dc.identifier.citationDos Santos, B. L. (1989). Selecting information systems projects: problems, solutions and challenges. Proc. Twenty-Second Ammal Hawaii hzt. on Systems Sciences. IEEE Computer Society, 3,131-140.
dc.identifier.citationEben Chaime, M. (2000). A parametric weighing approach for project selection under risk. Engineering Economist. 45(1), pp. 56-73
dc.identifier.citationEilat,H. Golany,B &Shtub, A(2006). Constructing and evaluating balanced portfolios of R&D projects with interactions: A DEA based methodology. European Journal of Operational Research. 172.pp 018-1039
dc.identifier.citationFahrni,P., & Spätig.M. (2007). An application-orientes guide to R&D project selection and evaluation methods. R&D Management. 20(2), pp. 155 – 171.
dc.identifier.citationFarrukh, C. (2000). Developing a process for the relative evaluation of R&D programmes. R & D Management. Oxford. 30(1), pp. 43 - 54
dc.identifier.citationFaul, W. (2011, Agosto). El Mercado Asegurador Colombiano: Enfrentando el Reto del Futuro. Mercado Asegurador.
dc.identifier.citationFrame, J. (1999). La dirección de proyectos en las organizaciones. Cómo utilizar bien el tiempo, las técnicas y la gente. Ed. Granica, S.A. España.
dc.identifier.citationFernández Carazo, A., Gómez Núñez, T., Molina Luque, J., García Herńndez-D́az, A., Caballero Fernández, R. (2007). Selección de cartera de proyectos: Formulación de un modelo genérico. Journal Economic Literature. XV Jornada de ASEPUMA y III Encuentro Internacional
dc.identifier.citationFernández Carazo, A., Gómez Núñez, T., Guerreo Casas, F., & Caballero Fernández, R. (2008). Evaluación y clasificación de las técnicas utilizadas por las organizaciones, en las últimas décadas, para seleccionar proyectos. Revista de métodos cuantitativos para la economía y la empresa. pp. 67-115.
dc.identifier.citationFitchRatings Colombia. Sector de seguros en Colombia: Desempeño 2009 y perspectiva 2010. Mayo 2010. Fitch, Inc. y Fitch Ratings, Ltda. y de sus filiales. One State Street Plaza, NY, NY 10004. Consultado 17 de Junio de 2011. Disponible en: www.fitchratings.com.co/content/page.aspx?ID=77
dc.identifier.citationGabriel, S.A., & Kumar, S. (2006). A multiobjective optimization model for project selection with probabilistic considerations. Socio-Economic Planning Sciences, 40 (4), pp. 297-313.
dc.identifier.citationGels, D. A. (2005). Hoshin Planning for Project Selection. ASQ World Conference on Quality and Improvement Proceedings. 59(0), pp. 273-278.
dc.identifier.citationGhasemzadeh, F and Archer, N. (2000). Project portfolio selection through decision support. Decision Support Systems . 29(1). pp. 73-88.
dc.identifier.citationGhorbani,S., & Rabbani, M. (2009). A new multi-objective algorithm for a project selection problem. Advances in Engineering Software. 40(1), pp. 9-14
dc.identifier.citationGinzberg, M. J. (1979). Improving MIS project selection. OMEGA. 7, pp. 527-537
dc.identifier.citationGolabi, K. (1981). Selecting a portfolio of solar energy projects using multiattribute preference theory. Manage. Sci. 27, pp. 174–189.
dc.identifier.citationGraves, S. B., & Ringuest, J. L. (1992). Choosing the best solution in an R&D project selection problem with multiple objectives. The Journal of High Technology Management Research. 3(2), pp. 213-224.
dc.identifier.citationHall D.L & Nauda, A. (1990). An interactive approach for selecting R&D projects. IEEE Trans Eng Manage, 37(2), pp. 126–133.
dc.identifier.citationHauc, A. (2002). Project management. GV založba, Ljubljana
dc.identifier.citationHuang, X. (2007). Optimal project selection with random fuzzy parameters. International Journal of Production Economics. 106 (2), pp. 513-522.
dc.identifier.citationHuang, C.L., & Yang, C.L. (2008). Modeling a combination of projects selection system- using the Mahalanobis Taguchi system. Industrial Engineering and Engineering Management, IEEE. Pp 1539-1541.
dc.identifier.citationHwang, C. (1995). Multiple Attribute Decision Making and Introduction. London: Sage Publication.
dc.identifier.citationIreland, L. R. (2006). Project Management. pp. 110. McGraw-Hill Professional.
dc.identifier.citationJin, H., Zhao, J., & Chen, X. (2007). The Application of Neuro-Fuzzy Decision Tree in Optimal Selection of Technological Innovation Projects. In Proceedings of the Eighth ACIS international Conference on Software Engineering. 3. pp., 438-443
dc.identifier.citationJung, J.Y.,(2009). Operational improvement project management: categorization and selection. Journal of the International Academy for Case Studies. 15(3).
dc.identifier.citationJunguito, R. (2008, Febrero 20). La industria aseguradora 2008. Portafolio. Consultado 10 Abril de 2011, Disponible en: www.portafolio.co/columnistas/laindustria-aseguradora.
dc.identifier.citationKim, I., & Shangmun, S.(2009). Development of a project selection method on information system using ANP and Fuzzy logic. Proceedings of World Academy of Science: Engineering & Technology. 41, pp. 411-416.
dc.identifier.citationKerzner, H. (1998). In Search of Excellence in Project Management. Van Nostrand Reinhold.
dc.identifier.citationKlein, R. (1999). Scheduling of resource-constrained projects. Kluwer Academic Publishers. Boston
dc.identifier.citationKuanchin, Ch., & Gorla, N. (1998). Information system project selection using fuzzy logic. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions. 28(6), pp. 849-855.
dc.identifier.citationKyparisis G.J., & Gupta S.K. (1996). Project selection with discounted returns and multiple constraints. European Journal of Operational Research. 94 (1), pp. 87-96.
dc.identifier.citationLarry, A. (2002). A systematic methodology selecting project mangement systems. AACE International Transactions. Morgantown. Pp 11 - 18
dc.identifier.citationLawson, C. P., & Longhurst, P.J. (2006). The application of a new research and development project selection model in SMEs. Technovation. 26(2), pp. 242-250.
dc.identifier.citationLiberatore, M.J. (1988). An expert system for R&D project selection. Mathematical Computational Modeling. pp. 260–265.
dc.identifier.citationLee J.W., & Kim, S.H. (2000). Using analytic network process and goal programming for interdependent information system project selection. Computers and Operations Research. 27 (4), pp. 367-382.
dc.identifier.citationLee J.W., & Kim S.H. (2001). Integrated approach for interdependent information system project selection. International Journal of Project Management. 19 (2), pp. 111-118
dc.identifier.citationLee, S., & Kang, S. (2008). Applying technology road-maps in project selection and planning. Journal of Quality & Reliability Management. 25(1), pp. 39 - 51
dc.identifier.citationLoch, C.H., Pich, M.T.; & Terwiesch, C. (2001). Selecting R&D projects at BMW: a case study of adoptingmathematical programming models. Engineering Management, IEEE Transactions. 48(1), pp. 70 - 80.
dc.identifier.citationMachacha, L.L., & Bhattacharya, P. (2000). A fuzzy-logic-based approach to project selection. Engineering Management, IEEE Transactions. 47(1), pp. 65-73.
dc.identifier.citationMahmoodzadeh, S., & Shahrabi, J. (2008). Project selection by using fuzzy AHP and TOPSIS technique. Proceedings of World Academy of Science: Engineering & Technology. 30, pp. 85-90.
dc.identifier.citationMahdi, B., & Hossein, B. (2008). Project selection with outsourcing view using Fuzzy TOPSIS linear assignment programming. Management of Innovation and Technology. pp. 327 - 332
dc.identifier.citationMasood A. B., & Donald D. (2001). A comprehensive 0-1 goal programming model for project selection. International Journal of Project Management. 19(4), pp. 243.
dc.identifier.citationMcFarlan, F. W. (1981). Portfolio approach to information systems. Harvard Business. 59, pp. 142-150
dc.identifier.citationMcKeen, J. D., & Guimaraes, T. (1985). Selecting MIS project by steering committee. Commun ACM. 28, pp. 1344-1352.
dc.identifier.citationMohanty R. (1992). Project selection by a multiple-criteria decision-making method: an example from a developing country. International Journal of Project Management. 10 (1), pp. 31-38.
dc.identifier.citationMedaglia A.L., & Graves S.B.(2007). A multiobjective evolutionary approach for linearly constrained project selection under uncertainty. European Journal of Operational Research. 179 (3), pp. 869-894.
dc.identifier.citationMeredith, J., & Mantle, S. (2000). Project Management: A Managerial Approach. (4 ed). New York: Wiley.
dc.identifier.citationMikkola, J. H. (2001). Portfolio management of R&D projects: implications for innovation management. Technovation. 21, pp. 423-35.
dc.identifier.citationModarres, M., & Hassanzadeh, F. (2009). A robust optimization approach to R&D project selection. World Applied Sciences Journal 7 (5), pp. 582-592.
dc.identifier.citationMojahed, M., & Dodangeh, J. (2009). Using engineering Economy techniques with group topsis method for best project selection. IEEE International Conference on Computer Science.
dc.identifier.citationMunns A.K., & Bjeirmi B.F. (1996). The Role of Project Management in Achieving Project Success. International Journal of Project Management. 14(2), pp. 81-87
dc.identifier.citationNokes, S. (2007). The Definitive Guide to Project Management. (2 ed.). London : Financial Times, Prentice Hall.
dc.identifier.citationOrtiz Salinas, E. Y. ( eyortiz@sura.com.co). (2011, Mayo 25) Responde a la preguntas de voz. E-mail. Seguros Generales Suramericana S.A.
dc.identifier.citationPalcic, I., & Lalic, B. (2009). Analytical hierarchy process as a tool for selecting and evaluating projects. International Journal of Simulation Modelling. 8(1), pp. 16-26
dc.identifier.citationPhillips, J. (2003). PMP Project Management Professional Study Guide. (p.354.). McGraw-Hill Professional.
dc.identifier.citationPinto, J. (2007). Project Management: achieving competitive advantage. Pearson Education, UK
dc.identifier.citationPinzon Caicedo, M. (2011). Balance de la industria aseguradora 2010: Efectos del sector asegurador sobre el crecimiento económico. Revista Fasecolda. No. 139. Disponible en: : www.fasecolda.com/fasecolda/BancoMedios/Documentos%20PDF/revista139fi nal.pdf.
dc.identifier.citationPowers, J.Y., & Ruwanpura, G. (2002). Simulation based project selection decision analysis tool. Winter Simulation Conference. 2, pp.1778-1785.
dc.identifier.citationPrieto, C. (2011, Mayo 11). [Personal Interview]. Liberty Seguros S.A.
dc.identifier.citationProject Management Institute.(1996). A guide to the project management body of knowledge. PMI Communications.
dc.identifier.citationProject Management Institute.(2006). PMI Project Management Salary Survey.15(4).Pp6
dc.identifier.citationRabbani, M., & Aramoon Bajestani, M. (2010). A multi-objective particle swarm optimization for project selection problem. Expert Systems with Applications: An International Journal. 37(1)
dc.identifier.citationRafiei, H., & Rabbani, M. (2009). Project Selection Using Fuzzy Group Analytic Network Process. World Academy of Science, Engineering and Technology. 58.
dc.identifier.citationRamsey, J. (1987). Project-selection Criteria. Research and Development. Ann Arbor, MI: UMI Press.
dc.identifier.citationRodríguez Pulecio, A. M. (2011, Marzo 16). [Personal Interview]. FASECOLDA. Investigación Económica
dc.identifier.citationRosacker, K. M. & Olson, D. (2008). An empirical assessment of IT project selection and evaluation methods in state government. Project Management Journal. 39(1), pp. 49 - 59.
dc.identifier.citationSaaty, T. L. (1990). Multicriteria Decision Making: The Analytic Hierarchy Process. Pittsburg, PA: RWS.
dc.identifier.citationSanthanam R., & Kyparisis J. (1995). A multiple criteria decision model for information system project selection. Computers and Operations Research, 22 (8), pp. 807-818
dc.identifier.citationSchmidt, R.L.; & Freeland, J.R. (1992). Recent progress in modeling R&D project-selection processes. Engineering Management, IEEE Transactions. 39(2), pp. 189 – 201
dc.identifier.citationSchniederjans, M.J., & Wilson, R.L. (1991). Using the analytic hierarchy process and goal programming for information system project selection. Information and Management. 20 (5), pp. 333-342
dc.identifier.citationShtub, A., & Bard J. (1994). Project Management, Engineering Technology and Implementation. Prentice Hall.
dc.identifier.citationSefair, J.A., & Medaglia, A.L. (2005). Towards a model for selection and scheduling of risky projects. IEEE Systems and Information Engineering Design Symposium
dc.identifier.citationSouder, W. E. & Sherman, J. D. (1994). Managing New Technology Development. New York: McGraw-Hill.
dc.identifier.citationSuperintendencia Financiera de Colombia. http://www.superfinanciera.gov.co/
dc.identifier.citationSwiss Re. Global Insurance Review 2010 and Outlook 2010-2011. Diciembre 2010. Consultado 23 Julio de 2011. Publicado en: www.bvzl.de/Newsletter/2011_ 03/Spotlight_03_EN.pdf
dc.identifier.citationTian, Q., Ma, J.,& Liu, O. (2002). A hybrid knowledge and model system for R&D project selection. Expert Systems with Applications, 23 (3), pp. 265- 271
dc.identifier.citationTian Q., Ma J., & Liang J. (2005). An organizational decision support system for effective R&D project selection. Decision Support Systems, 39 (3), pp. 403-413
dc.identifier.citationTolga, A. C. (2008). Fuzzy multicriteria R&D project selection with a real options valuation model. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology. 19 (4,5),pp. 359-371.
dc.identifier.citationTolga, A. C. (2009). Selection of R&D projects with real options integrated fuzzy multi-criteria model. ITU Journal Series D: Engineering. 8(4), pp. 95-106.
dc.identifier.citationTolga, A.C. & Kahraman, C. (2008). Fuzzy multi-criteria evaluation of R&D projects and a fuzzy trinomial lattice approach for real options. Intelligent System and Knowledge Engineering. 1, pp. 418-423.
dc.identifier.citationTurner, J. R. (2009). The Handbook of Project-Based Management, Third Edition.
dc.identifier.citationVelásquez, N. (nvelasquez@mundialseguros.com.co). (2011, Marzo 23) Responde a la preguntas de voz. E-mail. Compañía Mundial De Seguros S.A
dc.identifier.citationVergara C, I. (2011, Agosto). La cultura del seguro: vuelve la lotería de la vida [Versión electrónica]. Revista Fasecolda. Extraído 10 Septiembre de 2011.http://www.fasecolda.com/fasecolda/BancoMedios/Documentos%20PDF/comu nicado%203ra%20etapa%20loter%C3%ADa%20de%20la%20vida.pdf
dc.identifier.citationVishwanath, T. (1992). Optimal Orderings for Parallel Project Selection. International Economic. 33(1), pp. 79-89.
dc.identifier.citationVonortas. N. & Hertzfeld. H. 1998. Research and development project selection in the public sector. Joarnal of Policv. 17 (4), pp. 639-657.
dc.identifier.citationWang, J., & Xu,Y. (2009). Research on project selection system of preevaluation of engineering design project bidding. International Journal of Project Management. 27 (6), pp. 584-599.
dc.identifier.citationWatts, K.M.; & Higgins, J.C. (1987). The use of advanced management techniques in R&D. Omega 15.
dc.identifier.citationWeingarmer, H.M. (1966). Capital budgeting of interrelated projects: Survey and synthesis. Management Science. 12, pp. 485-516.
dc.identifier.citationWeingarlner, H.M. (1963). Mathematical Programming and the Analysis of Capital Budgeting Problems. Prentice-Hall, Englewood Cliffs, NJ
dc.identifier.citationWestland, J. (2006). El ciclo de vida de Gestión de Proyectos. Kogan Page Limited.
dc.identifier.citationXX Convención Internacional de Seguros Fasecolda: La Industria Aseguradora Colombiana - Resultados a julio de 2011. (2011). Macroeconomía Mercado Asegurador – Banca & Finanzas. Disponible en: http://macroeconomia.com/macro /?cat=25
dc.identifier.citationYong Hong, S., Ma, J., & Zhi Ping, F. (2008). A Group Decision Support Approach to Evaluate Experts for R&D Project Selection. Engineering Management, IEEE Transactions. 55(1), pp. 158-170.
dc.identifier.urihttp://hdl.handle.net/10818/6799
dc.description139 páginas.
dc.description.abstractLa selección óptima de la cartera de proyectos es una decisión crucial en las organizaciones, siendo este un “proceso complejo”. En este trabajo, se propone una herramienta integral que permita determinar la cartera óptima de proyectos a ejecutar de un portafolio de proyectos significativos. Con este fin se plantea una metodología multicriterial que contempla criterios económicos, financieros, niveles de riesgo y contribución a los objetivos organizacionales, a través de la combinación del método cuantitativo y cualitativo apoyada de un modelo heurístico y un ciclo de retroalimentación de la misma. Dicha metodología fue validada en una empresa del sector asegurador colombiano. Esta puede ser utilizar para construir nuevas herramientas de apoyo para la selección óptima de proyectos más robusta o para otros sectores. Nota: Para consultar la carta de autorización de publicación de este documento por favor copie y pegue el siguiente enlace en su navegador de internet: http://hdl.handle.net/10818/8783es_CO
dc.language.isospaes_CO
dc.publisherUniversidad de La Sabana
dc.sourceUniversidad de La Sabana
dc.sourceIntellectum Repositorio Universidad de La Sabana
dc.subjectEvaluación de proyectos -- Metodologíaes_CO
dc.subjectEvaluación de proyectos -- Investigacioneses_CO
dc.subjectCompañías de seguros -- Colombiaes_CO
dc.titleMetodología para la selección de proyectos en el sector asegurador en Colombiaes_CO
dc.typemasterThesis
dc.publisher.programMaestría en Diseño y Gestión de Procesos
dc.publisher.departmentFacultad de Ingeniería
dc.identifier.local159422
dc.identifier.localTE05830
dc.type.localTesis de maestría
dc.type.hasVersionpublishedVersion
dc.rights.accessRightsopenAccess
dc.creator.degreeMagíster en Diseño y Gestión de Procesos


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem