A Visualization-Based Approach for Project Portfolio Selection
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Abstract
We propose a 2-step interactive approach for solving a project portfolio selection problem as a single-criterium optimization problem. Our approach innovates by using two coordinated charts: an interactive project timeline with drag-and-drop functionalities for project reallocation in time; and an interactive cost and risk chart that combines a line chart and several bar charts in order to present multidimensional time-based datasets. These functionalities enable users to refine the model fed into optimization software in order to achieve results that better correspond to their expectations. We discuss the use of our prototype in real scenarios, and present preliminary positive feedback from users.
Keywords
Information visualization Interactive displays Portfolio selectionPreview
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References
- 1.Argyris, N., Figueira, J.R., Morton, A.: Interactive multicriteria methods in portfolio decision analysis. In: Salo, A., Keisler, J., Morton, A. (eds.) Portfolio Decision Analysis, Int. Series in Operations Research & Management Science, vol. 162, pp. 107–130. Springer (2011)Google Scholar
- 2.Bandyopadhyay, S., Saha, S.: Unsupervised Classification – Similarity Measures, Classical and Metaheuristic Approaches, and Applications. Springer (2013)Google Scholar
- 3.Fisher, M.: Interactive optimization. Annals of Operations Research 5(3), 539–556 (1985)Google Scholar
- 4.Kiesling, E., Gettinger, J., Stummer, C., Vetschera, R.: An experimental comparison of two interactive visualization methods for multicriteria portfolio selection. In: Salo, A., Keisler, J., Morton, A. (eds.) Portfolio Decision Analysis, Int. Series in Operations Research & Management Science, vol. 162, pp. 187–209. Springer (2011)Google Scholar
- 5.Kulyk, O., Kosara, R., Urquiza, J., Wassink, I.: Human-centered aspects. In: Kerren, A., Ebert, A., Meyer, J. (eds.) Human-Centered Visualization Environments, LNCS, vol. 4417, pp. 13–75. Springer (2007)Google Scholar
- 6.Lotov, A.V., Miettinen, K.: Visualizing the pareto frontier. In: Branke, J., Deb, K., Miettinen, K., Slowinski, R. (eds.) Multiobjective Optimization. LNCS, vol. 5252, pp. 213–243. Springer (2008)Google Scholar
- 7.Miettinen, K.: Introduction to multiobjective optimization: Noninteractive approaches. In: Branke, J., Deb, K., Miettinen, K., Slowinski, R. (eds.) Multiobjective Optimization. LNCS, vol. 5252, pp. 1–26. Springer (2008)Google Scholar
- 8.Miettinen, K., Ruiz, F., Wierzbicki, A.P.: Introduction to multiobjective optimization: Interactive approaches. In: Branke, J., Deb, K., Miettinen, K., Slowinski, R. (eds.) Multiobjective Optimization. LNCS, vol. 5252, pp. 27–57. Springer (2008)Google Scholar
- 9.Nowak, M.: Project portfolio selection using interactive approach. Procedia Engineering 57, 814–822 (2013)Google Scholar
- 10.Salo, A., Keisler, J., Morton, A.: An invitation to portfolio decision analysis. In: Salo, A., Keisler, J., Morton, A. (eds.) Portfolio Decision Analysis, Int. Series in Operations Research & Management Science, vol. 162, pp. 3–27. Springer (2011)Google Scholar
- 11.Shneiderman, B.: Direct manipulation: A step beyond programming languages. IEEE Computer 16(8), 57–69 (1983)Google Scholar
- 12.Wills, G.: Visualizing Time – Designing Graphical Representations for Statistical Data. Springer (2012)Google Scholar