Quality-Assessment Model for Portfolios of Projects Expressed by a Priority Ranking

Organizations need to make decisions about how to invest and manage the resources to get more benefits, but, commonly the organization’s resources are not enough to support all project proposals. Thus, the decision maker (DM) wants to select the portfolio with the highest contribution to the organizational objectives. But in many practical cases, to know exactly the benefits associated to implement each proposal is too difficult, therefore it is questionable the issue of evaluating portfolio quality in these conditions In order to face these uncertainty situations, the DM usually ranks the applicant projects according to his/her preferences about an estimated impact of each portfolio. However, a correct modeling of the quality of the portfolio is indispensable to develop a model of coherent optimization to the ranking given by the DM. In the literature, this type of problems has been scantily approached in spite of being present in many practical situations of assignment of resources. In this Chapter we propose a quality model of portfolio and an algorithm that solves it. The experimental results show that the algorithm that includes our model offers benefits to the decision maker, and his advantages highlighted with respect to the related works reported in the state of the art.

[1]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[2]  Eduardo Fernández,et al.  Increasing selective pressure towards the best compromise in evolutionary multiobjective optimization: The extended NOSGA method , 2011, Inf. Sci..

[3]  George Mavrotas,et al.  Selection among ranked projects under segmentation, policy and logical constraints , 2008, Eur. J. Oper. Res..

[4]  E. Fernández,et al.  Multi-objective optimisation of an outranking model for public resources allocation on competing projects , 2009 .

[5]  Steven A. Gabriel,et al.  A multiobjective optimization model for project selection with probabilistic considerations , 2006 .

[6]  A. D. Henriksen,et al.  A practical R&D project-selection scoring tool , 1999 .

[7]  Eduardo Fernández,et al.  A Genetic Search for Exploiting a Fuzzy Preference Model of Portfolio Problems with Public Projects , 2002, Ann. Oper. Res..

[8]  Claudia Gómez Santillán,et al.  Solution to the Social Portfolio Problem by Evolutionary Algorithms , 2012, Int. J. Comb. Optim. Probl. Informatics.

[9]  Eduardo Fernandez,et al.  Multicriteria optimization of interdependent project portfolios with 'a priori' incorporation of decision maker preferences , 2013 .

[10]  Eduardo Fernández,et al.  Public Project Portfolio Optimization under a Participatory Paradigm , 2013, Appl. Comput. Intell. Soft Comput..

[11]  Juan Carlos Leyva López,et al.  A new method for group decision support based on ELECTRE III methodology , 2003, Eur. J. Oper. Res..

[12]  Carlos A. Coello Coello,et al.  Evolutionary multiobjective optimization using an outranking-based dominance generalization , 2010, Comput. Oper. Res..

[13]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.

[14]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) , 2006 .

[15]  Bertrand Mareschal,et al.  The GDSS PROMETHEE procedure: a PROMETHEE-GAIA based procedure for group decision support , 1998 .

[16]  Rafael Caballero,et al.  Solving a comprehensive model for multiobjective project portfolio selection , 2010, Comput. Oper. Res..

[17]  R. Cooper,et al.  Portfolio management for new product development: results of an industry practices study , 2001 .