Research on Multi-objective Collaborative Management of Electronic Engineering Projects Based on Integrated Optimization Model

Aiming at the multi-objective conflict and risk interference problem of time, cost and quality in electronic engineering projects, this paper integrates system theory and multi-objective optimization theory to construct an integrated optimization model of "time-cost-quality-risk" : The target weights were determined by the coupling of Delphi method and analytic Hierarchy process (AHP), the unique risks of electronic engineering (such as chip iteration and electromagnetic compatibility) were quantified by fuzzy comprehensive evaluation, and the constraints of multi-objective Genetic Algorithm (MOGA) adaptation technology and discrete data characteristics were improved. Taking the 5G base station R&D project as an example, the simulation results show that: Compared with the traditional single-objective management, the model shortens the project time by 15.2%, reduces the cost by 12.7%, increases the quality standard rate by 8.9%, and reduces the risk loss by 20.3%. It effectively verifies the optimization efficiency of multi-objective collaboration, and provides theoretical and practical support for the full-cycle control of complex electronic engineering projects.