Behavioral Model for Data-Driven Validation

Complicated decisions must be made when developing new product generations of mechatronic systems. The information on which the decision-making process is based largely determines the outcome. A data-based decision-making basis has great potential to improve the decisions made and, therefore, the products. This work examines the intuitive approach of developers for product optimization by using data analysis as a basis for decision-making. Based on 72 case studies, model levels of a behavioral model are abstracted. It can be observed that the principles of general systems theory can be found in the behavior of the developers. The proposed behavioral model is initially applied to show how further beneficial effects can be realized by modelling data analyses in the described manner. The paper discusses the benefits of using such a behavioral model to optimate the way of applying data-driven development methods. To illustrate this, an analysis example from a car manufacturer and a machine tool manufacturer are used respectively.