A Smart Project Management System for Task Assignment Using Multi-Objective Optimization Algorithms

In response to the escalating complexity of modern products and services, this paper introduces a novel Smart Project Management System (SPMS) powered by multi-objective optimization techniques. The growing intricacy of these offerings has led to an exponential increase in the number, complexity, and potential solutions to errors, necessitating proactive support for all stakeholders involved in the development process. This research addresses the formidable challenge of managing a burgeoning volume of findings by leveraging clustering methods grounded in multiple criteria. Our proposed methodology integrates quality assurance reports to identify specific activities and employs a robust multicriteria decision-making approach to establish optimal execution sequences. Through the automation of task allocation and the incorporation of diverse criteria, SPMS significantly enhances quality management processes, improves operational efficiency, and provides invaluable support to development stakeholders. By replacing manual prioritization with algorithmic processing, SPMS generates optimal solutions that comprehensively consider all criteria and explicit decision-making factors. The integration of this Smart Project Management System offers a systematic, efficient means of addressing quality deficiencies and optimizing project outcomes, contributing to the advancement of modern project management.