Analysis of inventories through a statistical forecast model in a company Peruvian
The importance of the study falls on the main objective of analyzing inventories through statistical forecasts in a pharmaceutical company. The research approach was quantitative, cross-sectional, non-experimental design and descriptive level. The study population was the information from the invent...
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| Autores principales: | , , |
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| Formato: | Artículo |
| Lenguaje: | inglés |
| Publicado: |
2023
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| Acceso en línea: | Enlace permanente (DOI o Handle) Descargar el archivo Enlace permanente (DOI o Handle) |
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| _version_ | 1881700461856161792 |
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| author | David Yanque Vara Mari Carmen Rodríguez Meza Salomón Axel Vásquez Campos |
| author_browse | David Yanque Vara Mari Carmen Rodríguez Meza Salomón Axel Vásquez Campos |
| author_facet | David Yanque Vara Mari Carmen Rodríguez Meza Salomón Axel Vásquez Campos |
| author_sort | David Yanque Vara |
| collection | Producción científica |
| description | The importance of the study falls on the main objective of analyzing inventories through statistical forecasts in a pharmaceutical company. The research approach was quantitative, cross-sectional, non-experimental design and descriptive level. The study population was the information from the inventory of the company for the year 2022, likewise the sample consisted of two products classified in item A. According to what was elaborated in the article, it is concluded that the products selected in group A, they have a 15% participation in the company's inventories, however, they represent 86.6% according to their unit cost and 45.3% of inventory valuation according to their value, also according to their profit contribution they have a 49.76% participation. And, according to the analysis of the forecasting methods, it was determined that the ideal for both products 002 and 005 is the seasonal index method, considering the MAPE (average absolute percentage error) lower, reaching 28.96% and 27.28% respectively. The economic order quantity was determined where it was seen that for product 002 it is 50392 and product 005 is 73217. |
| format | Article |
| id | openalex:W4383876216 |
| institution | UPeU |
| language | English |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| record_format | dspace |
| spelling | openalex:W4383876216Analysis of inventories through a statistical forecast model in a company PeruvianDavid Yanque VaraMari Carmen Rodríguez MezaSalomón Axel Vásquez Camposinventory analysisstatistical forecastingpharmaceutical companieseconomic order quantityinventory valuationmean absolute percentage errorinventory costSupply Chain and Inventory ManagementForecasting Techniques and ApplicationsBusiness Logistics and Inventory ControlThe importance of the study falls on the main objective of analyzing inventories through statistical forecasts in a pharmaceutical company. The research approach was quantitative, cross-sectional, non-experimental design and descriptive level. The study population was the information from the inventory of the company for the year 2022, likewise the sample consisted of two products classified in item A. According to what was elaborated in the article, it is concluded that the products selected in group A, they have a 15% participation in the company's inventories, however, they represent 86.6% according to their unit cost and 45.3% of inventory valuation according to their value, also according to their profit contribution they have a 49.76% participation. And, according to the analysis of the forecasting methods, it was determined that the ideal for both products 002 and 005 is the seasonal index method, considering the MAPE (average absolute percentage error) lower, reaching 28.96% and 27.28% respectively. The economic order quantity was determined where it was seen that for product 002 it is 50392 and product 005 is 73217.Articlehttps://doi.org/10.17268/sciendo.2023.028https://revistas.unitru.edu.pe/index.php/SCIENDO/article/download/5334/5504http://dx.doi.org/10.17268/sciendo.2023.028W4383876216enSCIÉNDO1681-72302617-37352023-06-30 |
| spellingShingle | inventory analysis statistical forecasting pharmaceutical companies economic order quantity inventory valuation mean absolute percentage error inventory cost Supply Chain and Inventory Management Forecasting Techniques and Applications Business Logistics and Inventory Control David Yanque Vara Mari Carmen Rodríguez Meza Salomón Axel Vásquez Campos Analysis of inventories through a statistical forecast model in a company Peruvian |
| title | Analysis of inventories through a statistical forecast model in a company Peruvian |
| title_full | Analysis of inventories through a statistical forecast model in a company Peruvian |
| title_fullStr | Analysis of inventories through a statistical forecast model in a company Peruvian |
| title_full_unstemmed | Analysis of inventories through a statistical forecast model in a company Peruvian |
| title_short | Analysis of inventories through a statistical forecast model in a company Peruvian |
| title_sort | analysis of inventories through a statistical forecast model in a company peruvian |
| topic | inventory analysis statistical forecasting pharmaceutical companies economic order quantity inventory valuation mean absolute percentage error inventory cost Supply Chain and Inventory Management Forecasting Techniques and Applications Business Logistics and Inventory Control |
| topic_facet | inventory analysis statistical forecasting pharmaceutical companies economic order quantity inventory valuation mean absolute percentage error inventory cost Supply Chain and Inventory Management Forecasting Techniques and Applications Business Logistics and Inventory Control |
| url | https://doi.org/10.17268/sciendo.2023.028 https://revistas.unitru.edu.pe/index.php/SCIENDO/article/download/5334/5504 http://dx.doi.org/10.17268/sciendo.2023.028 |
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