Exponentional smoothing models for demand forecasting in health care
The main goal of this paper is to present advantages that can be obtained by using quantitative methods to aid demand forecasting in health care sector, specially addressing the ambulance service. In this paper we will use exponential smoothing methods to obtain the most accurate forecast of number...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Pristina in Kosovska Mitrovica, Faculty of Economics
2014-01-01
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| Series: | Ekonomski Pogledi |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1450-7951/2014/1450-79511402115M.pdf |
| _version_ | 1797224753934630912 |
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| author | Marcikić Aleksandra Radovanov Boris |
| author_facet | Marcikić Aleksandra Radovanov Boris |
| author_sort | Marcikić Aleksandra |
| collection | DOAJ |
| description | The main goal of this paper is to present advantages that can be obtained by using quantitative methods to aid demand forecasting in health care sector, specially addressing the ambulance service. In this paper we will use exponential smoothing methods to obtain the most accurate forecast of number of ambulance rides per day. The data set provides us information about the number of ambulance rides per day for three years period. Results show that additive Holt-Winters exponential smoothing method is the most suitable for forecasting the number of ambulance rides per day. |
| first_indexed | 2024-04-24T13:58:08Z |
| format | Article |
| id | doaj.art-ae8b53d380e54fa78608fc7681d32355 |
| institution | Directory Open Access Journal |
| issn | 1450-7951 2334-7570 |
| language | English |
| last_indexed | 2024-04-24T13:58:08Z |
| publishDate | 2014-01-01 |
| publisher | University of Pristina in Kosovska Mitrovica, Faculty of Economics |
| record_format | Article |
| series | Ekonomski Pogledi |
| spelling | doaj.art-ae8b53d380e54fa78608fc7681d323552024-04-03T16:28:27ZengUniversity of Pristina in Kosovska Mitrovica, Faculty of EconomicsEkonomski Pogledi1450-79512334-75702014-01-0116211512410.5937/EkoPog1402115M1450-79511402115MExponentional smoothing models for demand forecasting in health careMarcikić Aleksandra0https://orcid.org/0000-0002-4199-4238Radovanov Boris1https://orcid.org/0000-0002-4728-7286Univerzitet u Novom Sadu, Ekonomski fakultet u Subotici, SerbiaUniverzitet u Novom Sadu, Ekonomski fakultet u Subotici, SerbiaThe main goal of this paper is to present advantages that can be obtained by using quantitative methods to aid demand forecasting in health care sector, specially addressing the ambulance service. In this paper we will use exponential smoothing methods to obtain the most accurate forecast of number of ambulance rides per day. The data set provides us information about the number of ambulance rides per day for three years period. Results show that additive Holt-Winters exponential smoothing method is the most suitable for forecasting the number of ambulance rides per day.https://scindeks-clanci.ceon.rs/data/pdf/1450-7951/2014/1450-79511402115M.pdfunivariate modelsforecastinghealth care management |
| spellingShingle | Marcikić Aleksandra Radovanov Boris Exponentional smoothing models for demand forecasting in health care Ekonomski Pogledi univariate models forecasting health care management |
| title | Exponentional smoothing models for demand forecasting in health care |
| title_full | Exponentional smoothing models for demand forecasting in health care |
| title_fullStr | Exponentional smoothing models for demand forecasting in health care |
| title_full_unstemmed | Exponentional smoothing models for demand forecasting in health care |
| title_short | Exponentional smoothing models for demand forecasting in health care |
| title_sort | exponentional smoothing models for demand forecasting in health care |
| topic | univariate models forecasting health care management |
| url | https://scindeks-clanci.ceon.rs/data/pdf/1450-7951/2014/1450-79511402115M.pdf |
| work_keys_str_mv | AT marcikicaleksandra exponentionalsmoothingmodelsfordemandforecastinginhealthcare AT radovanovboris exponentionalsmoothingmodelsfordemandforecastinginhealthcare |