IDEAS home Printed from https://ideas.repec.org/a/ila/anaeco/v34y2019i2p1-21.html
   My bibliography  Save this article

Propuesta de política óptima de compras para medicamentos en droguería del departamento de salud de Vicuña

Author

Listed:
  • Andrés Olivares

    (Facultad de Medicina, Universidad Católica del Norte, Larrondo 1281-Coquimbo, Chile)

  • Karla Soria-Barreto

    (Escuela de Ciencias Empresariales, Universidad Católica del Norte, Chile)

Abstract

This research proposes an optimal medication purchasing policy for the Drugstore of the Department of Health of Vicuña (DESAM) for patients with chronic diseases of higher prevalence. Harris-Wilson’s economic order quantity model was used to find the optimal shopping point that minimizes storage and order costs. Of the 54 medications used for the pathologies of chronic patients, seven were analyzed, covering 71% of the demand. The results indicate that the costs of the proposed new policy for DESAM can save a little more than Ch$10 million (US$16.400).

Suggested Citation

  • Andrés Olivares & Karla Soria-Barreto, 2019. "Propuesta de política óptima de compras para medicamentos en droguería del departamento de salud de Vicuña," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 34(2), pages 1-21, October.
    • Handle: RePEc:ila:anaeco:v:34:y:2019:i:2:p:1-21
    as

    Download full text from publisher

    File URL: https://www.rae-ear.org/index.php/rae/article/view/597
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nita H. Shah & Chetansinh R. Vaghela, 2017. "Economic order quantity for deteriorating items under inflation with time and advertisement dependent demand," OPSEARCH, Springer;Operational Research Society of India, vol. 54(1), pages 168-180, March.
    2. Bouchery, Yann & Ghaffari, Asma & Jemai, Zied & Tan, Tarkan, 2017. "Impact of coordination on costs and carbon emissions for a two-echelon serial economic order quantity problem," European Journal of Operational Research, Elsevier, vol. 260(2), pages 520-533.
    3. Chang, Chun-Tao, 2004. "An EOQ model with deteriorating items under inflation when supplier credits linked to order quantity," International Journal of Production Economics, Elsevier, vol. 88(3), pages 307-316, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jaggi, Chandra K. & Aggarwal, K.K. & Goel, S.K., 2006. "Optimal order policy for deteriorating items with inflation induced demand," International Journal of Production Economics, Elsevier, vol. 103(2), pages 707-714, October.
    2. Rafael Tordecilla-Madera & Andrés Polo & Adrián Cañón, 2018. "Vehicles Allocation for Fruit Distribution Considering CO 2 Emissions and Decisions on Subcontracting," Sustainability, MDPI, vol. 10(7), pages 1-21, July.
    3. Ajoy Hatibaruah & Sumit Saha, 2023. "An inventory model for two-parameter Weibull distributed ameliorating and deteriorating items with stock and advertisement frequency dependent demand under trade credit and preservation technology," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 951-1002, June.
    4. Reza Maihami & Behrooz Karimi & Seyyed Mohammad Taghi Fatemi Ghomi, 2017. "Effect of two-echelon trade credit on pricing-inventory policy of non-instantaneous deteriorating products with probabilistic demand and deterioration functions," Annals of Operations Research, Springer, vol. 257(1), pages 237-273, October.
    5. Nita H. Shah & Chetansinh R. Vaghela, 2017. "Economic order quantity for deteriorating items under inflation with time and advertisement dependent demand," OPSEARCH, Springer;Operational Research Society of India, vol. 54(1), pages 168-180, March.
    6. Chan, Chi Kin & Fang, Fei & Langevin, André, 2018. "Single-vendor multi-buyer supply chain coordination with stochastic demand," International Journal of Production Economics, Elsevier, vol. 206(C), pages 110-133.
    7. Chung, Kun-Jen & Huang, Tien-Shou, 2007. "The optimal retailer's ordering policies for deteriorating items with limited storage capacity under trade credit financing," International Journal of Production Economics, Elsevier, vol. 106(1), pages 127-145, March.
    8. Han Zhu, 2022. "A simple heuristic policy for stochastic inventory systems with both minimum and maximum order quantity requirements," Annals of Operations Research, Springer, vol. 309(1), pages 347-363, February.
    9. Meherishi, Lavanya & Narayana, Sushmita A. & Ranjani, K.S., 2021. "Integrated product and packaging decisions with secondary packaging returns and protective packaging management," European Journal of Operational Research, Elsevier, vol. 292(3), pages 930-952.
    10. Diwakar Gupta & Lei Wang, 2009. "A Stochastic Inventory Model with Trade Credit," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 4-18, November.
    11. Liang-Yuh Ouyang & Chun-Tao Chang & Philip Shum, 2012. "The EOQ with defective items and partially permissible delay in payments linked to order quantity derived algebraically," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 141-160, March.
    12. Nita Shah & Monika Naik, 2019. "Coordinated production, ordering, shipment and pricing model for supplier-retailer inventory system under trade credit," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(2), pages 55-76.
    13. Dwi Iryaning Handayani & Ilyas Masudin & Ahmad Rusdiansyah & Judi Suharsono, 2021. "Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry," Logistics, MDPI, vol. 5(3), pages 1-21, September.
    14. Huang, Yung-Fu & Hsu, Kuang-Hua, 2008. "An EOQ model under retailer partial trade credit policy in supply chain," International Journal of Production Economics, Elsevier, vol. 112(2), pages 655-664, April.
    15. Susu Cheng & Fan Zhang, 2022. "Regulatory pressure and consumer environmental awareness in a green supply chain with retailer responsibility: A dynamic analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 1133-1151, June.
    16. Ata Allah Taleizadeh & Shayan Tavakoli & Luis Augusto San-José, 2018. "A lot sizing model with advance payment and planned backordering," Annals of Operations Research, Springer, vol. 271(2), pages 1001-1022, December.
    17. Dimitris Zissis & George Ioannou & Apostolos Burnetas, 2020. "Coordinating Lot Sizing Decisions Under Bilateral Information Asymmetry," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 371-387, February.
    18. Khakbaz, Amir & Mensi, Walid & Tirkolaee, Erfan Babaee & Hammoudeh, Shawkat & Simic, Vladimir, 2023. "The combined effects of interest and inflation rates on inventory systems: A comparative analysis across countries," International Journal of Production Economics, Elsevier, vol. 266(C).
    19. Bakker, Monique & Riezebos, Jan & Teunter, Ruud H., 2012. "Review of inventory systems with deterioration since 2001," European Journal of Operational Research, Elsevier, vol. 221(2), pages 275-284.
    20. Ouyang, Liang-Yuh & Chang, Chun-Tao, 2013. "Optimal production lot with imperfect production process under permissible delay in payments and complete backlogging," International Journal of Production Economics, Elsevier, vol. 144(2), pages 610-617.

    More about this item

    Keywords

    Economic order quantity; primary healthcare; drugs purchase; chronic diseases;
    All these keywords.

    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ila:anaeco:v:34:y:2019:i:2:p:1-21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mauricio Tejada (email available below). General contact details of provider: https://edirc.repec.org/data/deilacl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.