A product selection method for the configuration of learning factories

A structured and systematic process plays an important role for the learning factory design. Especially the technical configuration of a learning factory determines its future application possibilities in research, training, and teaching. As part of the technical configuration, the selection of a product that best fits the set objectives is a challenge. This publication presents a method for the selection of products in learning factories. In the method, three successive phases are distinguished: in phase 1, the primary goals of a learning factory are defined and detailed into intended competencies and research targets. Next, in phase 2, the product and production requirements are derived, which are mutually dependent. A distinction is made between mandatory and optional requirements. While, the identified mandatory requirements allow a preselection of possible products, the optional requirements are used to evaluate these preselected products. Based on the preselection, in phase 3 the most suitable product can be identified that best meets the optional requirements.