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

IF 1.9 Q3 ENGINEERING, INDUSTRIAL
Alicia Berenice Rodríguez-Yáñez, Yaileen Méndez-Vázquez, Mauricio Cabrera-Ríos
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引用次数: 3

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.

Abstract Image

Abstract Image

Abstract Image

基于仿真的注射成型工艺窗口同时考虑两个和三个相互冲突的准则。
注射成型的过程窗口通常只考虑一种性能指标。在现实中,当一次考虑多个性能度量时,特别是在存在冲突的情况下,可以获得更现实的情况。在这项工作中,同时考虑了两个和三个相互冲突的性能指标,进行了注射成型(IM)工艺窗的构建。通过在多标准优化中直接应用帕累托优势概念,确定了所涉及标准之间的最佳折衷。其目的是提供一种正式和现实的策略来设置IM操作中的处理条件。所得到的优化方法很容易在MS Excel中实现。解决方案以图形形式呈现,以便于在制造工厂中使用。
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来源期刊
Production and Manufacturing Research
Production and Manufacturing Research Engineering-Industrial and Manufacturing Engineering
CiteScore
5.60
自引率
4.90%
发文量
35
期刊介绍: Production & Manufacturing Research: An Open Access Journal provides a high-quality platform for academics, researchers, and industrial practitioners working on production and manufacturing research topics to publish their work globally under a fully open access model. The journal ensures that every article undergoes a rigorous but rapid peer review process by a team of experts who share the cross-disciplinary scope of the publication. The intent is to foster innovation, debate and collaboration across the field whilst maintaining a defined and relevant audience for the topics and findings reported. The journal encourages the submission of original articles, reviews, short communications and case studies in all areas of manufacturing engineering and technology, operations research and management, supply chain performance management, lean manufacturing, production systems and automation, quality control, logistics, research methodologies, manufacturing strategy, sustainable engineering, project management & scheduling and cross-disciplinary research between these fields.
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