Abstract
Production Activity Control (PAC) is fundamental to Production Management, since it allows for meeting deadlines, ensuring product quality and reducing production costs. For these reasons, it is essential for the improvement of enterprise performance to understand the production system and its integrated parts. Another production concept linked to the efficiency of enterprise performance is Industry 4.0. This is the most recent revolution of industry and one of its main goals are related with the integration of production activity control by using information technologies. The objective of this project is to implement three different mechanisms of Production Activity Control in a Flexible Flow Shop (FFS), composed of three stages with three parallel machines each. The mechanisms implemented are Workload Control (WLC), Generic Kanban System (GKS) and Drum-Buffer-Rope (DBR), and all are associated with a make-to-order (MTO) production. Additionally, three independent machine selection criteria are evaluated: Random, Load Hours and Load Units. Simio software is used for the simulation of the production system and results are given by diverse Key Performance Indicators (KPIs). After completing simulations, it can be concluded that DBR is the mechanism of PAC with the best performance for the studied scenarios. However, the scenario with the smallest value of load norm is compromising the performance of WLC. Otherwise, this mechanism would be the one with the best performance. Regarding the machine selection criteria, Load Hours is the criterion with the best performance for almost all the KPIs.
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Costa, D. et al. (2020). Performance Evaluation of Different Mechanisms of Production Activity Control in the Context of Industry 4.0. In: Gheorghe, G. (eds) Proceedings of the International Conference of Mechatronics and Cyber-MixMechatronics – 2019. ICOMECYME 2019. Lecture Notes in Networks and Systems, vol 85. Springer, Cham. https://doi.org/10.1007/978-3-030-26991-3_9
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