A Grasp-based Heuristic For The Project Portfolio Selection Problem

dc.creatorMira C.
dc.creatorFeijao P.
dc.creatorSouza M.A.
dc.creatorMoura A.
dc.creatorMeidanis J.
dc.creatorLima G.
dc.creatorSchmitz R.
dc.creatorBossolan R.P.
dc.creatorFreitas I.T.
dc.date2012
dc.date2015-06-25T20:25:56Z
dc.date2015-11-26T15:22:31Z
dc.date2015-06-25T20:25:56Z
dc.date2015-11-26T15:22:31Z
dc.date.accessioned2018-03-28T22:31:45Z
dc.date.available2018-03-28T22:31:45Z
dc.identifier9780769549149
dc.identifierProceedings - 15th Ieee International Conference On Computational Science And Engineering, Cse 2012 And 10th Ieee/ifip International Conference On Embedded And Ubiquitous Computing, Euc 2012. , v. , n. , p. 36 - 41, 2012.
dc.identifier
dc.identifier10.1109/ICCSE.2012.102
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84874088658&partnerID=40&md5=6e9884d2697f9824e9fcba6ced185c6b
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/90574
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/90574
dc.identifier2-s2.0-84874088658
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1260387
dc.descriptionThe project portfolio selection (PPS) problem consists of constructing a project portfolio, that is, a selection of projects scheduled over a period of time using various, potentially conflicting, criteria and resource constraints. The PPS is a well-known problem, recurrently occurring in several applications, with a rich history of approaches for modeling it and a large number of techniques for solving it. In this work we present a model for the PPS problem based on a real-world situation of selection and scheduling of projects in the power generation industry. We also propose a heuristic, based on the metaheuristic GRASP, to solve the problem, and assess its quality and performance through computational experiments. We describe the implementation of a decision support system prototype for the PPS problem that uses the proposed heuristic and includes several usability features that may help decision makers through the selection process. © 2012 IEEE.
dc.description
dc.description
dc.description36
dc.description41
dc.descriptionIEEE Comput. Soc. Tech. Comm. Scalable Comput. (TCSC),University of Cyprus,IEEE,IEEE Computer Society
dc.descriptionCarazo, A., Gómez, T., Molina, J., Herńandez-D́iaz, A., Guerrero, F., Caballero, R., Solving a comprehensive model for multiobjective project portfolio selection (2010) Computers & Operations Research, 37 (4), pp. 630-639
dc.descriptionArcher, N., Ghasemzadeh, F., An integrated framework for project portfolio selection (1999) International Journal of Project Management, 17 (4), pp. 207-216
dc.descriptionCooper, R., Winning at new products: Accelerating the process from idea to launch (2001) Basic Books
dc.descriptionHartmann, M., Hassan, A., Application of real options analysis for pharmaceutical R&D project valuation- Empirical results from a survey (2006) Research Policy, 35 (3), pp. 343-354
dc.descriptionGustafsson, J., Salo, A., Contingent portfolio programming for the management of risky projects (2005) Operations Research, pp. 946-956
dc.descriptionSuh, C., Suh, E., Baek, K., Prioritizing telecommunications technologies for long-range R&D planning to the year 2006 (1994) Engineering Management, IEEE Transactions on, 41 (3), pp. 264-275
dc.descriptionMarler, R., Arora, J., Survey of multi-objective optimization methods for engineering (2004) Structural and Multidisciplinary Optimization, 26 (6), pp. 369-395
dc.descriptionDuarte, B., Reis, A., Developing a projects evaluation system based on multiple attribute value theory (2006) Computers & Operations Research, 33 (5), pp. 1488-1504
dc.descriptionFox, G., Baker, N., Bryant, J., Economic models for R and D project selection in the presence of project interactions (1984) Management Science, pp. 890-902
dc.descriptionHu, G., Wang, L., Fetch, S., Bidanda, B., A multi-objective model for project portfolio selection to implement lean and Six Sigma concepts (2008) International Journal of Production Research, 46 (23), pp. 6611-6625
dc.descriptionCharnes, A., Cooper, W., Goal programming and multiple objective optimizations: Part 1 (1977) European Journal of Operational Research, 1 (1), pp. 39-54
dc.descriptionMathieu, R., Gibson, J., A methodology for large-scale R&D planning based on cluster analysis (1993) Engineering Management, IEEE Transactions on, 40 (3), pp. 283-292
dc.descriptionCarlsson, C., Fullér, R., Heikkilä, M., Majlender, P., A fuzzy approach to R&D project portfolio selection (2007) International Journal of Approximate Reasoning, 44 (2), pp. 93-105
dc.descriptionGutjahr, W., Katzensteiner, S., Reiter, P., Stummer, C., Denk, M., Multi-objective decision analysis for competenceoriented project portfolio selection (2010) European Journal of Operational Research, 205 (3), pp. 670-679
dc.descriptionMohanty, R., Agarwal, R., Choudhury, A., Tiwari, M., A fuzzy ANP-based approach to R&D project selection: A case study (2005) International Journal of Production Research, 43 (24), pp. 5199-5216
dc.descriptionHsieh, T., Liu, H., Genetic algorithm for optimization of infrastructure investment under time-resource constraints (2004) Computer-Aided Civil and Infrastructure Engineering, 19 (3), pp. 203-212
dc.descriptionDoerner, K., Gutjahr, W., Hartl, R., Strauss, C., Stummer, C., Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection (2006) European Journal of Operational Research, 171 (3), pp. 830-841
dc.descriptionCrama, Y., Schyns, M., Simulated annealing for complex portfolio selection problems (2003) European Journal of Operational Research, 150 (3), pp. 546-571
dc.descriptionFesta, P., Resende, M., GRASP: Basic components and enhancements (2011) Telecommunication Systems, 46 (3), pp. 253-271
dc.descriptionArcher, N., Ghasemzadeh, F., A decision support system for project portfolio selection (1998) International Journal of Technology Management, 16 (1), pp. 105-114
dc.descriptionChu, P., Hsu, Y., Fehling, M., A decision support system for project portfolio selection (1996) Computers in Industry, 32 (2), pp. 141-149
dc.languageen
dc.publisher
dc.relationProceedings - 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012
dc.rightsaberto
dc.sourceScopus
dc.titleA Grasp-based Heuristic For The Project Portfolio Selection Problem
dc.typeActas de congresos


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