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TWO METHODOLOGIES FOR IDENTIFYING PRODUCT PLATFORM ELEMENTS WITHIN AN EXISTING SET OF PRODUCTS

机译:识别一组现有产品中产品平台元素的两种方法

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摘要

As companies are pressured to decrease product development costs concurrently with increasing product variety, the need to develop products based upon common components and platforms is growing. Determining why a platform worked, or alternatively why it did not, is an important step in the successful implementation of product families and product platforms in any industry. Unfortunately, published literature on platform identification and product family analysis using product dissection and reverse engineering methods is surprisingly sparse. This paper introduces two platform identification methodologies that use different combinations of tools that can be readily applied based on information obtained directly from product dissection. The first methodology uses only the Bills-of-Materials and Design Structure Matrices while the second utilizes function diagrams, Function-Component Matrices, Product-Vector Matrices, and Design Structure Matrices to perform a more in-depth analysis of the set of products. Both methodologies are used to identify the platform elements in a set of five single-use cameras available in the market. The proposed methodologies identify the film advance and shutter actuation platform elements of the cameras, which include seven distinct components. The results are discussed in detail along with limitations of these two methodologies.
机译:随着公司在降低产品开发成本的同时增加产品种类的压力,开发基于通用组件和平台的产品的需求正在增长。确定平台为何起作用,或者为什么不起作用,是在任何行业成功实施产品系列和产品平台的重要一步。不幸的是,有关使用产品解剖和逆向工程方法进行平台识别和产品族分析的已发表文献稀少。本文介绍了两种平台识别方法,它们使用了可以根据直接从产品解剖获得的信息轻松应用的不同工具组合。第一种方法仅使用物料清单和设计结构矩阵,而第二种则使用功能图,功能组件矩阵,乘积矢量矩阵和设计结构矩阵对产品集进行更深入的分析。两种方法都用于识别市场上提供的五个一次性照相机中的平台元素。所提出的方法确定了照相机的胶卷前进和快门致动平台元件,其包括七个不同的组件。详细讨论了结果以及这两种方法的局限性。

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