Improving customer waiting time for medicine-retrieval center
| dc.citation.epage | 25 | spa |
| dc.citation.issue | 01 | spa |
| dc.citation.journalTitle | Cuadernos de Ingeniería Matemática | spa |
| dc.citation.spage | 1 | spa |
| dc.citation.volume | 01 | spa |
| dc.contributor.affiliation | Universidad Eafit, School of Sciences, Department of Mathematical Sciences | spa |
| dc.contributor.author | Plazas Escudero, David | |
| dc.contributor.author | Cárdenas-Rodríguez, Juan Sebastian | |
| dc.contributor.author | Restrepo Sierra, Mateo | |
| dc.coverage.spatial | Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees | |
| dc.date.accessioned | 2021-06-10T20:35:15Z | |
| dc.date.available | 2021-06-10T20:35:15Z | |
| dc.date.issued | 2021-04-12 | |
| dc.description.abstract | Neuromedica is a Colombian pharmacy which provides treatment for people with neurological diseases. Recently, Neuromedica started attending patients from other pharmacy which led to a significant increase in the waiting time. In this pharmacy, people are classified and attended due to certain priorities. The data, given by Neuromedica, is analyzed using boxplots, Kruskal-Wallis and Kolmogorov-Smirnov tests with Python’s library Scipy. The objective of this work is to determine the number of assistants and queue logistic such that the waiting time has a significant reduction, with the purpose to provide a satisfactory level of service. A discrete-event simulation model was created and implemented in Python. A heuristic approach to minimize the waiting time is used. Additionally, a sensitivity analysis is made on the assumed distributions. | spa |
| dc.format | application/pdf | eng |
| dc.identifier.uri | http://hdl.handle.net/10784/29846 | |
| dc.language.iso | eng | spa |
| dc.publisher | Universidad Eafit | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.rights.local | Acceso abierto | spa |
| dc.subject.keyword | Complex system modeling | spa |
| dc.subject.keyword | Queue theory | en |
| dc.subject.keyword | Discrete-event simulation | en |
| dc.subject.keyword | Simulation-optimization | en |
| dc.subject.keyword | Statistical analysis of input-output data | en |
| dc.subject.keyword | White and black-box validation | en |
| dc.subject.keyword | Conceptual modeling | en |
| dc.subject.keyword | Python | en |
| dc.title | Improving customer waiting time for medicine-retrieval center | spa |
| dc.type | info:eu-repo/semantics/publishedVersion | spa |
| dc.type.local | Artículo | spa |
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