medigraphic.com
ISSN 1561-2988 (Print)

2019, Number 2

<< Back Next >>

Rev Cubana Farm 2019; 52 (2)

Management of waiting lines through queuing theory in pharmaceutical facilities

Vega CLO, Pérez CM, Pérez VLM, Tapia CII

Language: Spanish
References: 13
Page: 1-16
PDF size: 772.84 Kb.


ABSTRACT

Introduction: The perceived quality of the pharmacists´ service is the result of an assessment process, in which the patients compare their perceptions about the received service and what they expected.
Objective: To develop a procedure for the management of waiting lines through the queuing theory to determine the optimum number of servers in pharmaceutical facilities in Holguín province.
Method: It was used the queuing theory as a mathematical modelling supported by a characterization of the pharmaceutical facility that allowed to know the pharmacy as an study´s object, and to identify and characterize the parameters needed to manage the waiting lines.
Results: The optimal number of servers must be 3, with a total cost of approximately $1859,23 per month. On average, 3.39386 customers/5minutes go to the pharmacy. The average value of the service length was approximately 3.02324 minutes per client.
Conclusions: The procedure developed through the queuing theory, as a mathematical model, demonstrated that the times of arrivals of customers follow a Poisson distribution and that the times that are used to attend them are still an exponential distribution. The costs analysis could determine that the optimum number of servers should be three to favor the decision-making process.


REFERENCES

  1. Costa Ediná A, Araújo Patrícia S, Thais Rodríguez P, Barreto Lacerda J, Guerra Junior AA, de Assis Acurcio F, et al. Conceptions on pharmaceutical services in Brazilian primary health care. Rev. Saú de Pública. 2017 [acceso 13/11/2017];51(Suppl 2). Disponible en: http://dx.doi.org/10.11606/s1518-8787.2017051007107

  2. Guibu Ione A, Cássio Moraes J, Guerra Junior AA, Costa Ediná A, de Assis Acurcio F,Sarmento Costa K, et al. Main characteristics of patients of primary health care services in Brazil. Rev. Saú de Pública. 2017 [acceso 13/11/2017];51(Suppl 2). Disponible en: http://dx.doi.org/10.11606/s1518-8787.2017051007070

  3. Leite SN, da Cunha Bernardo NLM, Álvares J, Guerra Junior AA, Costa Ediná A, deAssis Acurcio F, et al. Medicine dispensing service in primary health care of SUS. Rev. Saú de Pública [Internet]. 2017 [acceso 13/11/2017];51(Suppl 2) Disponible en: http://dx.doi.org/10.11606/s1518-8787.2017051007121

  4. Palchik V, Traverso ML, Colautti M, Bianchi M, Dolza L, Catena J, et al. Prescripción demedicamentos oncológicos en un Servicio de Oncología: adecuación a las guías de práctica clínica. Farm Hosp. 2016 [acceso 13/11/2017];40(6):491-495. Disponible en: http://dx.doi.org/10.7399/fh.2016.40.6.10458

  5. Matos Ramírez N, Iglesias C, Ciro y García Cisneros E. Organización racional delcomplejo de máquinas en la cosecha -transporte- recepción de la caña de azúcar en la Empresa Azucarera “Argentina”. Rev Cie Téc Agr. 2014 [acceso 13/11/2017];23(2):27-33. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2071-00542014000200005 &lng=es&tlng=es

  6. Pantoja Rojas LM, Garavito Herrera LA. Análisis del proceso de urgencias yhospitalización del CAMI Diana Tubay a través de un modelo de simulación con Arena 10.0 para la distribución óptima del recurso humano. Ing. Investig. 2008 [acceso 13/11/2017];28(1):146-153. Disponible en: http://www.scielo.org.co/scielo.php?script=sci_ arttext&pid=S0120-56092008000100016&lng=en&tlng=es

  7. Valencia Mora A. Estimadores del índice de cola y el valor en riesgo. cuad. adm. 2010[acceso 13/11/207];44:71-88. Disponible en: http://www.scielo.org.co/scielo.php?script= sci_arttext&pid=S0120-46452010000200005&lng=en&tlng=es

  8. Silva Vera LS, França Giovanny Araújo V, Santos IS. Barros FC, Matijasevich A.Características e fatores associados à hospitalização nos primeiros anos de vida: coorte de nascimentos de Pelotas de 2004, Rio Grande do Sul, Brasil. Cad. Saú de Pública. 2017 [acceso 13/11/2017];33(10):e00035716. Disponible en: http://dx.doi.org/10.1590/0102- 311x00035716

  9. Costa Vanessa P, Correa MB, Goettems Marília L, Pinheiro Ricardo T, Demarco FlávioF. Maternal depression and anxiety associated with dental fear in children: a cohort of adolescent mothers in Southern Brazil. Braz. oral res. 2017 [acceso 13/11/2017 13];31 Disponible en: http://dx.doi.org/10.1590/1807-3107bor-2017.vol31.0085

  10. Gálvez Herrer M, Gómez García J M, Martín Delgado M Cruz, Ferrero Rodríguez M.Humanización de la Sanidad y Salud Laboral: Implicaciones, estado de la cuestión y propuesta del Proyecto HU-CI. Med. segur. trab. 2017 [acceso 13/11/2017];63(247):103-119. Disponible en: http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0465-546X 2017000200103&lng=es

  11. Pérez Huertas P, Tordera Baviera M, Martínez Nieto C, Benito Zazo N, GarcíaRobles A, Poveda A. Assessment of the quality of sample labelling for clinical research. Farm Hosp. 2016 [acceso 14/11/2017];40(2):79-89. Disponible en: http://dx.doi.org/10.7399/ fh.2016.40.2.9753

  12. Vega de la Cruz LO, Gonzáles Reyes L. Diagnóstico estadístico del control interno enuna institución hospitalaria. Rev haban cienc méd. 2017 [acceso 13/11/2017];16(2):295-309. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1729-519X2017000 200015&lng=es

  13. Romero Jiménez RM, Gomis Muñoz P, Crespo C, Piñeiro G, Pérez Pons JC, GarcíaRodicio S, et al. Evaluación del grado de formación del personal que elabora las nutriciones parenterales en los Servicios de Farmacia. Farm Hosp. 2016 [acceso 14/11/2017];40(6):486- 490. Disponible en: http://dx.doi.org/10.7399/fh.2016.40.6.10431




2020     |     www.medigraphic.com