Modeling and optimising alternatives suitable to advance the product development process

摘要

In the rapidly changing technical-economical environment time has an increasingly important role in the product development besides creativity, cost, quality criteria. In this paper we aim to reveal methods that can decrease the cost and time spent on the product development increasing the efficiency of the process. This publication presents an insight of optimising with the use of design structure matrix, genetic algorithms, and neural network. Provides the opportunity of using the methods in different areas, so it may result a profitable industrial innovation, and is suitable for creating new ideas on the field of automobile engineering projects.