" "G Go ov ve er rn nm me en nt t s si iz ze e, , c co om mp po os si it ti io on n o of f p pu ub bl li ic c e ex xp pe en nd di it tu ur re e, , a an nd d e ec co on no om mi ic c d de ev ve el lo op pm me en nt t" " S Su us sa an na a M Ma ar rt ti in ns s F Fr ra an nc ci is sc co o J Jo os sé é V Ve ei ig ga a
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.
We develop a novel approach to investigate the presence of financial contagion during the European sovereign debt crisis. The novelty lies in modelling bond yield market comovements allowing the individual long-run variances to be time-dependent and the correlations to change smoothly between two extreme states according to time and observable financial variables. The new model has the flexibility to discern between long-run and short-run contagion effects on the basis of the variable used as indicator for the time-variation in correlations. The main results provide evidence of long-run contagion effects across peripheral countries following the more acute phase of the sovereign crisis.
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