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Traditionally, the problem of hospital pharmacy management of inventories has been paid little attention. This problem is treated in this paper as a work-in-progress. The main objective is to estimate the demand of stock in different services of the hospital pharmacy, obtaining a reliable method for future planning and management. A better demand estimation implies a better management and therefore,...
The industrial machinery reliability represents a critical factor in order to assure the proper operation of the whole productive process. In regard with this, diagnosis schemes based on physical magnitudes acquisition, features calculation, features reduction and classification are being applied. However, in this paper, in order to enhance the condition monitoring capabilities, a forecasting approach...
Industrial Automation (IA) applications require deterministic communication channels to ensure a reliable operation. As the wireless medium is a shared medium used by many other wireless technologies, a deterministic medium access method (MAM) is necessary. An improvement of the coexistence behavior can be achieved by applying adaptive MAMs, but they cannot meet any real-time demands. A promising...
In this paper, we develop a predictive maintenance (PdM) method to determine the most effective time to apply maintenance to an equipment and study its application to a real semiconductor etching chamber. More specifically, we first apply linear regression to predict the (output) equipment health condition from the (input) operational parameters. This choice of linear model also allows us to propose...
The interconnection of distributed generation units has a significant impact on the performance of an energy system. In this paper, challenges in designing grid-connected and islanded distributed energy systems (DES) are described and a concept of simulation models in the component-oriented modeling language Modelica® is presented, wherein simulation models are divided into physically detailed and...
Applying MPC in the case of rapid sampling, complicated process dynamics lead us to poorly numerically conditioned solutions and heavy computational load. Furthermore, there is always mismatch in a model that describes a real process. Therefore, in this paper in order to prevail over the mentioned difficulties, we design a MPC using Laguerre orthonormal basis functions based on ARMAX models. More...
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