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Predicting Human Actions in the Assembly Process for Industry 4.0

2021; Springer Nature; Linguagem: Inglês

10.1007/978-3-030-87869-6_38

2194-5357

Mauricio-Andrés Zamora-Hernández, Jose Andrez Chaves Ceciliano, Alonso Villalobos Granados, José García‐Rodríguez, Jorge Azorín-López,

Assembly Line Balancing Optimization

Nowadays, companies face new challenges and benefits with the incorporation of technologies associated with Industry 4.0 into product manufacturing. The new collaborative environments have to be capable of adapting efficiently to different levels of production as well as safely collaborating in the process with human operators. In this paper, a model for predicting human actions involved in a manufacturing process is proposed. The model uses Manufacturing Description Language combined with a statistical state graph able to provide the probability of a new action to be performed by the operator. Among other benefits, the model is able to improve the production, reducing waste in movement, time, or use of additional actions.