ADAPT - A decision-model-based Approach for Modeling Collaborative Assembly and Manufacturing Tasks

Abstract

Modeling assembly and manufacturing tasks accomplished by machines (i.e., robots) using offline programming is quite common today. Considering lot-size-one products human work is still necessary, whereas human tasks are often not considered during the modeling and offline programming process. Therefore this work presents a generic approach, which provides the ability to model variable work tasks of humans and machines together including the variability of any process data using a runtime-decision model. Depending on the detail level of the model it is possible to generate various assets such as work instructions, machine programs or human-machine interfaces. The ADAPT (Asset-Decision-Action-Property-RelaTionship) modeling approach is initially illustrated using a common LEGO assembly use case. Additionally we present a first implementation of a BPMN-based workflow designer that enables the user to model assembly and manufacturing processes in an intuitive way.