TY - GEN
T1 - Design of a Decision Support System for Multiobjective Activity Planning and Programming Using Global Bacteria Optimization
AU - Jimenez-Barros, Miguel Angel
AU - Ramirez Rios, Diana Gineth
AU - Ardila Hernandez, Carlos Julio
AU - Castro Bolaño, Lauren Julieth
AU - Neira Rodado, Dionicio
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - The success of any project lies in a great manner on keeping costs in the estimated values, as well as meeting customer required due date. Therefore, there is a current need of developing an information system that facilitates the creation and managing of projects and their processes, including costing schemes, as well as monitoring an optimizing project’s makespan. In order to address this situation a user-friendly information system (IS) was developed. This IS includes an optimization module that reduces the project’s execution time, thus, minimizing costs and ultimately providing the manager with the right tools for the correct development of the project. Therefore, a better planning of activities in a reduced time is accomplished. In this way, the project manager is equipped with a decision support system (DSS) that allows a better decision making and, thanks to this performance optimization, a cost-effective solution can be delivered to the company. The optimization module is the main innovative component in this IS, considering that addresses the problem as a multiobjective one, considering at the same time makespan and cost. This module is based on global bacteria optimization (GBO). This becomes the most relevant improvement when compared to other ISs in the market.
AB - The success of any project lies in a great manner on keeping costs in the estimated values, as well as meeting customer required due date. Therefore, there is a current need of developing an information system that facilitates the creation and managing of projects and their processes, including costing schemes, as well as monitoring an optimizing project’s makespan. In order to address this situation a user-friendly information system (IS) was developed. This IS includes an optimization module that reduces the project’s execution time, thus, minimizing costs and ultimately providing the manager with the right tools for the correct development of the project. Therefore, a better planning of activities in a reduced time is accomplished. In this way, the project manager is equipped with a decision support system (DSS) that allows a better decision making and, thanks to this performance optimization, a cost-effective solution can be delivered to the company. The optimization module is the main innovative component in this IS, considering that addresses the problem as a multiobjective one, considering at the same time makespan and cost. This module is based on global bacteria optimization (GBO). This becomes the most relevant improvement when compared to other ISs in the market.
KW - DSS
KW - Engineering projects
KW - GBO
KW - Information systems
KW - Multiobjective optimization
KW - Project management
UR - https://www.scopus.com/pages/publications/85086142689
U2 - 10.1007/978-3-030-47679-3_14
DO - 10.1007/978-3-030-47679-3_14
M3 - Conference contribution
AN - SCOPUS:85086142689
SN - 9783030476786
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 158
EP - 171
BT - Computer Information Systems and Industrial Management - 19th International Conference, CISIM 2020, Proceedings
A2 - Saeed, Khalid
A2 - Dvorský, Jirí
PB - Springer
T2 - 19th International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2020
Y2 - 16 October 2020 through 18 October 2020
ER -