A model-based approach for digitizing human decisions in a production line
Résumé
In this paper, an approach based on models is presented to help manufacturers in digitizing their production lines. Our solution aims at digitizing human's decision activities as it has several benefits for the productivity and reducing production time inside the factory. The proposed approach starts by constructing a physical model to represent all the components included in the production line. Secondly, an information model that describes the different activities in the production line and the data flow between them is constructed. In the next step, the human activities to be digitized are selected from the information model based on defined criteria. Then each one of this activities is presented with a decision model. The decision model is used to describe the sequence of steps performed by the human to make a decision. Finally, a data model is built from the previous models using UML class diagram. The data model defines the data structure of the system and its relationships. It can be used for the generation of the source code required to replace the human activities on the production line also as an effective tool for the simulation of the production line process. Finally, the applicability of the proposed approach is demonstrated through a case study in order to show how it can be applied to a real production line for the assembly of printed circuit boards.
Domaines
Modélisation et simulation
Origine : Fichiers produits par l'(les) auteur(s)
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