考虑环境弹性的项目组合调度与选择的模糊多智能体模型

Q3 Mathematics
Hadis Gholami , Amir Azizi , Majid Sabzehparvar , Davood Jafari
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引用次数: 0

摘要

在项目管理复杂性和不确定性日益增加的背景下,本研究引入了一种强调环境弹性的模糊多智能体模型用于项目组合调度和选择。该模型利用模糊逻辑来解决项目评估标准中固有的模糊性,允许对潜在项目进行更细致入微的评估。通过采用多代理系统,该框架促进了分散决策,使不同的利益相关者能够在选择和调度过程中有效地协作。该研究强调了将环境因素纳入项目组合管理的重要性,认识到可持续实践对组织的长期成功至关重要。采用多目标遗传算法对模型进行分析,结果表明,该模型可以在多个维度上求解,并且随着维度的增加,目标函数的值也随之增加。对模型进行敏感性分析,结果表明污染水平参数对环境问题和恢复力的影响最大,其次是静态废物产生,其次是活动废物产生,最后是可售废物。这些发现将为从业者和研究人员提供指导,为面对不确定性和变化时更具适应性和可持续性的项目组合管理策略铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fuzzy multi-agent model of project portfolio scheduling and selection taking into account environmental resilience
In the context of increasing complexity and uncertainty in project management, this research introduces a Fuzzy Multi-Agent Model for Project Portfolio Scheduling and Selection that emphasizes environmental resilience. The model leverages fuzzy logic to address the inherent vagueness in project evaluation criteria, allowing for a more nuanced assessment of potential projects. By employing a multi-agent system, the framework facilitates decentralized decision-making, enabling diverse stakeholders to collaborate effectively in the selection and scheduling processes. The study highlights the importance of integrating environmental considerations into project portfolio management, recognizing that sustainable practices are essential for long-term organizational success. The model was analyzed using a multi-objective genetic algorithm, and the results suggested that the model could be solved in various dimensions and that with the increase in dimensions, the values ​​of the objective functions increased as well. The model was then analyzed, and the results of the sensitivity analysis indicated that the parameter of pollution level had the greatest effect on environmental issues and resilience, followed by static waste production, then active waste production, and finally saleable waste. The findings will serve as a guide for practitioners and researchers alike, paving the way for more adaptive and sustainable project portfolio management strategies in the face of uncertainty and change.
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来源期刊
Results in Control and Optimization
Results in Control and Optimization Mathematics-Control and Optimization
CiteScore
3.00
自引率
0.00%
发文量
51
审稿时长
91 days
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