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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Process mean, process tolerance, and use time determination for product life application under deteriorating process
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Process mean, process tolerance, and use time determination for product life application under deteriorating process

机译:工艺平均值,工艺公差和使用时间确定,用于在工艺不断恶化的情况下延长产品寿命

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摘要

Robust design can significantly improve a producer’s competitive ability to deliver high-quality products with low development cycle time, quality loss, failure cost, and tolerance cost. However, during usage by a consumer, the functional performance of a product or some of its components may change as use time passes, leading to unexpected product failure that is usually costly in both time and money. The cost of these failures may influence the determination of optimal use time and optimal initial settings as compensation for the possible process mean changes during consumer usage. In addition to finding use time and initial settings for proper quality performance, the determination of process mean and tolerance also needs to be considered. As is known, changes in process means acquired quality loss and variability, while process tolerance has an effect on tolerance-related costs and quality loss. Because there exists a dependency among use time, initial setting of process mean, process mean, and process tolerance, these values must be determined simultaneously. Thus, in this paper, an optimization model with an acceptable reliability value is developed to minimize total cost, including quality loss, failure cost, and tolerance cost, by determining optimal use time, initial settings, process mean, and process tolerance, simultaneously. Applications of single and multiple components are presented to explain the proposed models. Finally, sensitivity analysis and model discussions on some decision variables are performed.
机译:健壮的设计可以显着提高生产商提供具有较低开发周期时间,质量损失,故障成本和公差成本的高质量产品的竞争力。但是,在消费者使用期间,产品或其某些组件的功能性能可能会随着使用时间的流逝而发生变化,从而导致意外的产品故障,这通常会浪费时间和金钱。这些故障的代价可能会影响最佳使用时间和最佳初始设置的确定,因为可能的过程补偿会在消费者使用过程中发生变化。除了找到适当的质量性能的使用时间和初始设置之外,还需要考虑确定过程平均值和公差。众所周知,过程的变化意味着获得的质量损失和可变性,而过程公差会影响与公差相关的成本和质量损失。由于使用时间,过程平均值,过程平均值和过程公差的初始设置之间存在相关性,因此必须同时确定这些值。因此,在本文中,通过同时确定最佳使用时间,初始设置,过程平均值和过程公差,开发了一种具有可接受可靠性值的优化模型,以使总成本(包括质量损失,故障成本和公差成本)降至最低。提出了单个和多个组件的应用来解释所提出的模型。最后,对一些决策变量进行敏感性分析和模型讨论。

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