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 The leading web portal for pharmacy resources, news, education and careers August 16, 2017
Pharmacy Choice - Pharmaceutical News - New Findings on Drug Delivery Systems Described by Investigators at University of Deusto (Improvement of Drug Delivery Routes Through the Adoption of... - August 16, 2017

Pharmacy News Article

 5/19/17 - New Findings on Drug Delivery Systems Described by Investigators at University of Deusto (Improvement of Drug Delivery Routes Through the Adoption of...

New Findings on Drug Delivery Systems Described by Investigators at University of Deusto (Improvement of Drug Delivery Routes Through the Adoption of Multi-Operator Evolutionary Algorithms and Intelligent Vans Capable of Reporting Real-Time ...)

By a News Reporter-Staff News Editor at Drug Week Investigators discuss new findings in Drugs and Therapies - Drug Delivery Systems. According to news reporting originating in Bilbao, Spain, by NewsRx journalists, research stated, "An improved solution for drug distribution is presented in this paper. It is divided into two parts: i) a multi-operator evolutionary algorithm in charge of calculating the initial delivery routes and ii) an ambient intelligence-based support system able to tracing the merchandise along the distribution route."

The news reporters obtained a quote from the research from the University of Deusto, "The first one establishes the routes to be followed by the vehicles, based on a proposal of estimation of the travel times. The second one is formed by a system able to recognize and trace the drugs inside each vehicle. A laboratory experimentation has been conducted in order to demonstrate the adequacy of the route calculator. In addition, a field experimentation has been carried out by implementing the traceability system in a delivery van which of the drug distributor in the city of Bilbao. Note to Practitioners-Motivated by the specific needs found by a drug distributor in managing deliveries to pharmacies involved in its supply chain, this paper considers an optimization problem as the proper way to model the particularities found in this scenario. This paper proposes the use of a combinatorial optimization problem as the way to model problems. Due to the fact that distributor's clients are located in different cities, the proposal considers travel times both between cities and inside the city. In addition, rush hours are also taken into account, in order to provide a more realistic model. Finally, a radio frequency identification-based solution is proposed, in order to implement traceability in the delivered products, as well as to prevent human errors."

According to the news reporters, the research concluded: "Additionally, in case an unavoidable error occurs, the solution offers also an incident management mechanism."

For more information on this research see: Improvement of Drug Delivery Routes Through the Adoption of Multi-Operator Evolutionary Algorithms and Intelligent Vans Capable of Reporting Real-Time Incidents. IEEE Transactions on Automation Science and Engineering, 2017;14(2):1009-1019. IEEE Transactions on Automation Science and Engineering can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - www.ieee.org/; IEEE Transactions on Automation Science and Engineering - ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8856)

Our news correspondents report that additional information may be obtained by contacting E. Onieva, Univ Deusto, Deusto Inst Technol DeustoTech, Bilbao 48007, Spain. Additional authors for this research include E. Osaba, I. Angulo, A. Moreno, A. Bahillo and A. Perallos (see also Drugs and Therapies - Drug Delivery Systems).

Keywords for this news article include: Bilbao, Spain, Europe, Evolutionary Algorithm, Drug Delivery Systems, Drugs and Therapies, Mathematics, Algorithms, University of Deusto.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2017, NewsRx LLC



(c) 2017 NewsRx LLC

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