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Design of Experiment (DoE): Implementation in Determining Optimum Design Parameters of Portable Workstation

机译:实验设计(DoE):确定便携式工作站最佳设计参数的实现

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In the modern era of manufacturing, it is important to optimize every design parameter in product development stage to reduce cost, material usage and to achieve the desired efficacy level. There are various models which serve those purposes, for instance, Design of Experiment (DoE) is used to check the parameters after adopting optimization tactics which results in reduced cost or saving operating time. In this regard, this research aims to construct a DoE model on a portable workstation to optimize its design parameters. The methodology of DOE would be a 2 level 3 factors full factorial DOE which is conducted to determine the optimal value for three design parameters (factors) which are material density, the length of the table and the length of the table stand in terms of the response which is the required time of fold ability function of the portable workstation. Based upon the evaluated interactions between the parameters, the optimized parameters are chosen for responses. Here, the resultant design parameters are at their lowest level, so the goal of time efficiency in fold ability function is achieved. This similar sort of DoE can be implemented in the furniture and other manufacturing industries who wish to optimize their material usage as well as increase efficiency and reduce cycle time.
机译:在现代制造业时代,重要的是在产品开发阶段优化每个设计参数,以降低成本,减少材料使用并达到所需的功效水平。有多种模型可以满足这些目的,例如,在采用优化策略后,可以使用实验设计(DoE)来检查参数,从而可以降低成本或节省运行时间。在这方面,本研究旨在在便携式工作站上构建DoE模型以优化其设计参数。 DOE的方法是2级3因子全因子DOE,用于确定三个设计参数(因子)的最佳值,这三个设计参数是材料密度,工作台长度和工作台长度(以响应,这是便携式工作站所需的折叠时间功能。基于参数之间的评估相互作用,选择优化参数进行响应。在此,最终的设计参数处于最低水平,因此可以实现折叠能力函数中时间效率的目标。这种类似的DoE可以在希望优化其材料使用以及提高效率和减少周期时间的家具和其他制造业中实施。

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