Analysis demonstrates efficient task allocation using optimization objectives, suggesting improvements in decision-making for resource management.
This study addresses the Multi-Objective Assignment Problem (MOAP) involving five tasks and six team members with three distinct optimization objectives i.e. minimizing cost, time and risk. The weight sum method is applied to transform the multi-objective into a single objective model, reflecting priority-based preferences. The Hungarian method is used to derive optimal solutions for each priority cases. Result demonstrate that varying priorities significantly impact task allocation patterns and overall efficiency, Offering valuable insights for balanced decision-making in resource management.
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Sarvesh Dubey (2025) studied this question.
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