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Modeling and control of drug assignment for pharmaceutical cabinets using discrete event systems approaches.
- Source :
- Asian Journal of Control; May2024, Vol. 26 Issue 3, p1151-1164, 14p
- Publication Year :
- 2024
-
Abstract
- The public health sector, considered to be vital, especially in this pandemic crisis of COVID‐19, requires automation and control of drug distribution in pharmacies commonly called: "Dispensing." In this paper, we address the medication assignment problem for automated dispensing cabinets (ADCs). First, we use a network of conflicting timed event graphs (CTEGs), a class of timed Petri nets with shared resources, to model pharmaceutical cabinets. Second, we develop a new method for controlling CTEGs under mutual exclusion constraints (MECs) to solve the problem of drug assignment, using a control approach based on Min‐Plus algebra. Finally, a case study of assigning drugs is given to illustrate the proposed methodology and show the efficiency of the developed control laws. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15618625
- Volume :
- 26
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Asian Journal of Control
- Publication Type :
- Academic Journal
- Accession number :
- 176988040
- Full Text :
- https://doi.org/10.1002/asjc.3292