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首页> 外文期刊>International Journal of Industrial Engineering & Production Research >A New approach to determine the Critical Factors of the Product Quality Optimization: A Structural Equation Modeling (A case study: hydrocarbon solvents based paints quality)
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A New approach to determine the Critical Factors of the Product Quality Optimization: A Structural Equation Modeling (A case study: hydrocarbon solvents based paints quality)

机译:一种确定产品质量优化关键因素的新方法:结构方程模型(以案例研究:基于碳酸盐溶剂质量)

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Quality plays important role for sale in the market. To attain this, many industrial managements are eager to use optimization methods to develop product quality. In this study, by evaluating the relationships between product defects and the factors affecting them, ways to improve product quality are presented. Hence, in this paper, a Structural Equation Modeling (SEM) approach is developed to identify the critical factors affecting product quality in paints industry. To this aim, 94 different laboratory samples including hydrocarbon solvent-based paints are assessed. Smart PLS software is utilized to construct the optimized model to determine critical factors. Results show that the different defects affecting the quality of paint are interrelated. In other words, the creation of a flaw will cause other flaws. It has been found that paint surface mottling that depends on the amount of usage of the Bentonite gel, pigment quantity, and resin quality used in the paint formulation affect the other defects such as orange peeling and Cratering.
机译:质量在市场上发挥重要作用。为了实现这一目标,许多工业管理旨在使用优化方法来开发产品质量。在本研究中,通过评估产品缺陷与影响它们的因素之间的关系,提出了提高产品质量的方法。因此,在本文中,开发了一种结构方程建模(SEM)方法,以确定影响油漆行业中产品质量的关键因素。为此目的,评估了94种不同的实验室样品,包括烃类溶剂的涂料。智能PLS软件用于构建优化模型以确定关键因素。结果表明,影响油漆质量的不同缺陷是相互关联的。换句话说,缺陷的创建将导致其他缺陷。已经发现,涂料表面斑点取决于涂料配方中使用的膨润土凝胶,颜料量和树脂质量的使用量影响了橙皮和陨石坑等其他缺陷。

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