PRODUCT PLATFORM AUTOMATION FOR OPTIMAL CONFIGURATION OF INDUSTRIAL ROBOT FAMILIES
Editor: Culley, S.J.; Hicks, B.J.; McAloone, T.C.; Howard, T.J. & Lindemann, U.
Author: Tarkian, Mehdi (1); Ölvander, Johan (1); Feng, Xiaolong (2); Pettersson, Marcus (2)
Section: Product and Systems Design
Product platform design is a well recognized methodology to effectively increase range and variety of products and simultaneously decrease internal variety of components by introducing modularization. The tradeoff between product performance and product family communality has to be carefully balanced in order to meet market requirements and for the company to simultaneously remain competitive. This paper will present a framework based on high fidelity analyses tools to concurrently optimize an industrial robot family as well as the common platform. The product family design problem is formally stated as a multi-objective optimization problem, which is solved using a multi-objective Genetic Algorithm.