An extended production planning model based on the simulation of human capabilities

Abstract

Digital mapping and modelling of the real systems in digitization solutions of Industry 4.0 are increasingly contributing to rising of the efficiency of production processes. The complexity of production and logistics systems is further increased by human resources, whose production capacity greatly influences the production process. This paper presents a exible manufacturing system where employee skills affect system productivity. The values of performance indicators can be changed in a favourable direction using a discrete event-driven simulation model. This model uses an integrated, self-developed module that supports production scheduling and takes the production capabilities of workers into account for better use of the resources in the production system.