Simulation-based process windows simultaneously considering two and three conflicting criteria in injection molding

Abstract

Process windows in injection molding are habitually built with only one performance measure in mind. In reality, a more realistic picture can be obtained when considering multiple performance measures at a time, especially in the presence of conflict. In this work, the construction of process windows for injection molding (IM) is undertaken considering two and three performance measures in conflict simultaneously. The best compromises between the criteria involved are identified through the direct application of the concept of Pareto-dominance in multiple criteria optimization. The aim is to provide a formal and realistic strategy to set processing conditions in IM operations. The resulting optimization approach is easily implementable in MS Excel. The solutions are presented graphically to facilitate their use in manufacturing plants.

Optimizing Injection Molding Parameters to Cycle Time of Bioring Cone Cup Products with Taguchi Method

“…When making products out of plastic, the most crucial production process is injection molding. [2]. Injection molding machines often mold automotive goods, household products, electronic components, and more.…”

A Simulation-Optimization strategy to deal simultaneously with tens of decision variables and multiple performance measures in manufacturing

“…The possibility to detect the entire set of solutions belonging to the efficient frontier came along in the shape of a full pairwise comparison scheme reported in (Rodriguez-Yanez, Mendez-Vazquez, and Cabrera-Rios 2014) where an injection molding process improvement was approached in a single-pass, multiple criteria, simulation optimization strategy.…”