USE OF LONG MEMORY MODEL: FORECAST OF EQUIPMENT FOR AGROBUSINESS

Authors

  • Francisca Mendonça Souza UFSM- Universidade Federal de Santa Maria
  • Adriano Mendonça Souza UFSM
  • Silvana Gonçalves de Almeida UFSM
  • Acássio Valente Feliciani UFSM

Keywords:

Forecasting applications, long memory models, agro-industry, time series analysis.

Abstract

Limana Poliserve Company manufactures equipment for agribusiness in general derived from sugar cane as copper pot stills for the production of rum and hydrated alcohol as well as micro-distilleries for hydrous ethanol. From this statement, it is necessary to forecast the number of requests for equipment to maintain a satisfactory flow of customer service and decision making necessary for effective management and quality. The allocation of equipment manufactured by the company was held by the ARFIMA models, ie models of long memory commonly called, which will allow the knowledge in the short term, the future values of this variable. The model that best explained the series under study was a model ARFIMA (1;0,3995;0). With the values can be provided for the administration of Limana Poliserve take management measures to improve the flow of customer service and production equipment.

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Published

2010-07-30

How to Cite

Souza, F. M., Souza, A. M., Almeida, S. G. de, & Feliciani, A. V. (2010). USE OF LONG MEMORY MODEL: FORECAST OF EQUIPMENT FOR AGROBUSINESS. IJIE – Iberoamerican Journal of Industrial Engineering, 2(3), 137–157. Retrieved from https://periodicos.ufsc.br/index.php/IJIE/article/view/104671

Issue

Vol. 2 No. 3 (2010): ISSN 21758018 - IJIE

Section

Articles

License

Ao submeter nosso trabalho à Revista Ibero-americana de Engenharia Industrial (IJIE), os autores compreendem que seu conteúdo será disponibilizado sob a Licença Internacional Creative Commons Atribuição (CC BY) 4.0, que permite o uso, compartilhamento, adaptação e a criação de obras derivadas, inclusive para fins comerciais, desde que seja dada a devida atribuição aos autores e a publicação original na IJIE seja claramente mencionada.

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