An improved visualization-based approach for project portfolio selection
| Autor: | Maurcio R. de Oliveira, Lidianne H. Jardim, Joo Meidanis, Paulo Viadanna, Rafael S. V. de Barros, Celmar Guimarães da Silva, Maria Anglica Souza, Gabriel Alves da Costa Lima, Arnaldo Vieira Moura, Marcello R. de Oliveira |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Optimization problem
Computer science Bar chart 02 engineering and technology 010501 environmental sciences computer.software_genre 01 natural sciences law.invention Arts and Humanities (miscellaneous) Chart law 0202 electrical engineering electronic engineering information engineering General Psychology 0105 earth and related environmental sciences Line chart business.industry Timeline Usability Visualization Human-Computer Interaction 020201 artificial intelligence & image processing Data mining Project portfolio management business Software engineering computer |
| Zdroj: | Computers in Human Behavior. 73:685-696 |
| ISSN: | 0747-5632 |
| Popis: | 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 line charts and bar charts in order to present multidimensional time-based datasets. We also use bar charts related to the allocation of man-hour resources. These functionalities enable users to refine the model that is fed into optimization software in order to achieve results that better correspond to their expectations. We discuss results of a heuristic-based usability evaluation of our prototype, its use in real scenarios, and present preliminary positive feedback from users. We present a visualization approach for a single-criterium optimization problem.We propose an interactive dashboard of costs, risks and project allocation in time.We propose an interactive chart of man-hour data.We present a new cluster-based layout for timelines with draggable events. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect