An Integrated Approach to Decision-Making that Maximizes the Plastic Injection Molding Process

This research addresses the intricate challenge of optimizing plastic injection molding processes with multiple objectives. Unlike multi-objective optimization, which often has a clear strategy for determining optimal solutions, many-objective optimization lacks a universally accepted approach to identifying ideal outcomes. In our study, we utilize a many-objective decision-making methodology that involves iterative selection of potential solutions based on experimental design techniques. In this mode, this approach ensures gradual progress toward a direction set by the user. In addition, the focus is on improving both the quality and efficiency of the injection molding process by linking design variables to process parameters. The optimization problem, characterized by four objectives, features a specific plastic fan as a case study in two different scenarios. The findings validate the effectiveness of our proposed method as a robust mechanism for managing the complexities of many-objective optimization in plastic injection molding processes.