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CUSTOMER NEED DRIVEN FUNCTION-BEHAVIOR PLATFORM FORMATION

机译:客户需求驱动功能-行为平台的形成

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Product platform formation has long been considered as an effective method to meet challenges set forth by mass customization. To cater to the changes in customer need driven functional requirements and technological advancements, product platforms have to be robust for a given planning horizon from the manufacturer's point of view. To date, most of the product platform research is directed towards developing approaches that maximize the usage of common physical structures (such as sub-assemblies and components), amongst product variants. We argue that there is a need to start thinking about platforms at a higher level of abstraction than just at the physical structure level because after all, the physical structures are the end result of the mapping process that starts with the customer needs, cascades to the functional requirements and the behaviors (aka working principle/behavior) that will be used to realize the functions. The Function-Behavior-Structure approach discussed by Gero and Kannengiesser (2003) deals with such an approach. In this paper, we present a methodology called the Function-Behavior Ant Colony Optimization (FB-ACO), to determine a higher abstract level platform at the FB level. The proposed approach can be used to provide critical decisions related to the planning of the advent and egress of a product or the use of a behavior, configuration of the function-behavior platform and the number of such platforms to be considered at a particular time. The FB platform can then be used to develop the detailed design for the family of products under consideration. We demonstrate our proposed approach using the example of a computer mouse product family.
机译:长期以来,产品平台的形成一直被认为是应对大规模定制提出的挑战的有效方法。为了适应客户需求驱动的功能需求和技术进步的变化,从制造商的角度来看,产品平台必须在给定的计划范围内具有强大的功能。迄今为止,大多数产品平台研究都针对开发在各种产品变体中最大限度地利用通用物理结构(例如子组件和组件)的方法。我们认为,有必要开始在比物理结构级别更高的抽象级别上考虑平台,因为毕竟,物理结构是映射过程的最终结果,该过程从客户需求开始,并逐步发展到功能需求和将用于实现功能的行为(即工作原理/行为)。 Gero和Kannengiesser(2003)讨论的功能-行为-结构方法处理了这种方法。在本文中,我们提出一种称为功能行为蚁群优化(FB-ACO)的方法,以确定FB级别的更高抽象级别的平台。所提出的方法可用于提供与产品的出现和流出的计划或行为的使用,功能行为平台的配置以及在特定时间要考虑的此类平台的数量有关的关键决策。然后可以使用FB平台为所考虑的产品系列开发详细设计。我们使用计算机鼠标产品系列的示例来演示我们提出的方法。

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