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doi: 10.1177/003754979406300102pmid: N/A
This paper describes a software simulator used in the development of control algorithms for the pulp cooking process. The laboratory-type simulator has been built up, based on the same control system hardware and software already installed in an industrial plant. The simulator itself emulates some operator control actions, the behavior of typical pulp cooking process variables and important signals from the process equipment. The simulation can be performed in real time or in two different accelerated modes. In this paper, the background of the simulator is also introduced and a discussion of advantages, based on experience, is attached at the end.
López-Valcárcel, Beatriz González; Barber Pérez, Patricia
doi: 10.1177/003754979406300103pmid: N/A
We evaluate the efficiency of different functional structures, reorganization patterns and alternative allocation of eventual new resources in a hospital emergency department. This department was simulated as a queue system in a process approach with SIMSCRIPT II.5. The data adjustment to statistical distributions of probability was made with UNIFIT II. The network containing the intermediate service circuit of the patients, from their arrival to their leaving, was modelled through nine interconnected queue systems. Actual operations as well as eight different alternative scenarios were simulated and compared. Changes in human resources, arrival rates and service times of auxiliary diagnostics equipment were simulated.We conclude that the medical classifying service should not be potentiated at the expense of the second level (general emergency doctors). Monitoring arrival times is also suggested. Collapses and saturation levels would occur if the arrival time were 12 patients per hour, being now almost 11 at some fixed times of the day. Expenditure in additional human resources would be more efficient socially than investment in auxiliary services equipment (Laboratory or X-Ray).
doi: 10.1177/003754979406300105pmid: N/A
A spreadsheet inventory management simulation model for a reorder cycle system with lost sales is developed. Three alternative implementations of the model are presented: a two dimensional model, a three dimensional model and a two dimensional model using the simulation add-in package @Risk. Tradeoffs of run time and memory requirements for the three implementations are discussed and extensions to the model implementations are presented.
doi: 10.1177/003754979406300107pmid: N/A
This paper describes a qualitative simulation method for electrical switching circuits in which variables have atomic values such as low and high. Although this method can be applied to switching circuits, it cannot be used to simulate the behavior of a system such as an hydraulic system. This is because the values of the variables need to be described in more detail. This paper explains why more numerical information is required for the hydraulic system and then describes a qualitative simulation method for simulating one. In this method, fuzzy sets are used to represent approximate values and behavior is described using fuzzy arithmetic operators and fuzzy rules.
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