A fuzzy multi-agent model of project portfolio scheduling and selection taking into account environmental resilience

Abstract

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.