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A decision support method for product conceptual design considering product lifecycle factors and resource constraints

机译:考虑产品生命周期因素和资源约束的产品概念设计决策支持方法

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摘要

In general, it is difficult to select a satisfactory product concept because the information in the early stage of design process is subjective, qualitative, and even uncertain to design engineers. The correlations among engineering characteristics for a product concept also increase the complexity of conceptual design. Moreover, it becomes important to consider not only customer requirements but also product lifecycle requirements. In spite of these problems, the resources that can be allocated in the product development are limited so that a company should select the most satisfactory product concept within its available resources. Therefore, it is useful to develop a new method for efficiently supporting conceptual design under this complex design environment. To this end, this study proposes a decision support method with extended house of quality (HOQ). With the proposed method, the best product concept and the associated investment allocation can be decided concurrently under consideration of product lifecycle factors and resource constraints. As a mathematical model combined with the extended HOQ, a mixed integer nonlinear programming model is defined and three heuristic search algorithms are developed. To show the usefulness of the proposed algorithms, a case study and computational experiments are introduced.
机译:通常,很难选择令人满意的产品概念,因为在设计过程的早期阶段,信息对于设计工程师而言是主观的,定性的,甚至是不确定的。产品概念的工程特征之间的相关性也增加了概念设计的复杂性。而且,不仅要考虑客户需求,而且还要考虑产品生命周期需求,这一点很重要。尽管存在这些问题,但是可以在产品开发中分配的资源是有限的,因此公司应在其可用资源中选择最满意的产品概念。因此,开发一种在这种复杂的设计环境下有效支持概念设计的新方法很有用。为此,本研究提出了一种具有扩展质量屋(HOQ)的决策支持方法。通过提出的方法,可以在考虑产品生命周期因素和资源约束的同时确定最佳产品概念和相关的投资分配。作为结合扩展HOQ的数学模型,定义了混合整数非线性规划模型,并开发了三种启发式搜索算法。为了展示所提出算法的有效性,介绍了一个案例研究和计算实验。

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