Abstract
This paper presents a part count tool that predicts the part count for a particular product concept during the conceptual design phase. The part count tool will also aid in ranking the design concepts by the criterion of number of components for a product. This tool utilizes existing automated concept generation algorithms to generate the design concepts. It extracts the available data from the Design Engineering Lab Design Repository to determine an average number of parts per component type in the repository and then calculates an average part count for new concepts. The part count tool also uses an algorithm to determine how to connect two non-compatible components through the addition of mutually compatible components. While emphasis is placed on the average parts per product in evaluating designs, the overall functional requirement of the product is also considered.
Highlights
Intense competition in the consumer market pushes designers to consider manufacturing costs more thoroughly and completely early in the design process
This paper presents a part count tool that predicts the part count for a particular product concept during the conceptual design phase
In order to minimize the cost associated with production, time, and labor, Design for Manufacture (DFM) and Design for Assembly (DFA) techniques have been adopted
Summary
Intense competition in the consumer market pushes designers to consider manufacturing costs more thoroughly and completely early in the design process. Typical cost reduction is achieved either by reducing the number of the components or by reducing the time required for manufacture or assembly or some combination of the two. A major focus of both techniques is reducing the number of required parts which in turn reduces cost associated with inventory, material and overhead [1]. Design for Manufacture and Assembly (DFMA) combines DFM and DFA techniques to systematically reduce final product cost by guiding conceptual design decisions [1]. The PaCT uses available Design Repository data to dynamically calculate the average number of parts for a given component type, predict the final part count and rank concepts . Given an estimate of part count, designers can further evaluate concepts based on predicted assembly and manufacturing cost of the final product
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