Project Control and Computational Intelligence: Trends and Challenges
Project Control and Computational Intelligence: Trends and Challenges
复制标题
项目控制和计算智能：趋势和挑战
DOI：
--
复制
发表时间：
2017
影响因子：
2.9
通讯作者：
Rafael Bello
中科院分区：
文献类型：
--
作者：
José Alejandro Lugo García;Anié Bermudez Peña;P. P. Pérez;Rafael Bello
在项目导向型组织中，利用关键绩效指标进行项目监控已成为一种普遍的决策方法。然而，目前的学校和为此目的创建的IT工具需要升级设计，因为原始数据中存在不精确、不准确或不确定性，以及管理风格的不断变化。此外，在发展中国家使用专有技术对政府来说成本很高，也是实现其技术主权的障碍。本文研究了通过计算智能方法进行项目控制的趋势和挑战。它还审查了学校和技术工具来管理项目，以及在过去几十年中应用计算智能技术的开源软件。目前的趋势和改进领域，重视利基市场具有高适用性的主题目标，它也进行了分析。本研究的贡献是与预测的必要性，构建新的模型和IT工具的项目控制，集成基于机器学习的方法和处理的不精确性，不确定性或不确定性的信息，使用关键性能指标与基础知识领域。实施新的图书馆学习评估项目控制与开源软件工具，打开了一个研究领域，增加技术集成与IT项目管理工具。所讨论的内容为改进面向项目的组织的决策提供了支持。
Project monitoring and control by using key performance indicators has become a widespread method for decisionmaking in project-oriented organizations. However, the current schools and IT tools created for this purpose require an upgrade in design due to imprecision, vagueness or uncertainty present in the raw data and changing conditions in management styles. Moreover, the use of proprietary technologies in developing nations represents high costs for governments and obstacles to achieving its technological sovereignty. This paper studies the trends and challenges in project control through computational intelligence methods. It also examines schools and technological tools to manage projects, as well as open source software for the application of computational intelligence techniques over the past decades. Current tendencies and improvement areas, valuing niche markets with high applicability around the thematic goal it is also analyzed. The contribution of this study is related to the predicted necessity of constructing new models and IT tools for project control which integrate machine learning-based approaches and treatment of imprecision, vagueness or uncertainty in the information, using key performance indicators linked to fundamental knowledge areas. The implementation of new libraries for learning evaluation in project control with open source software tools, opens a field of research related to increase technological integration with IT project management tools. The content under discussion provides support to improve decision-making in project-oriented organizations.