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Demand Forecasting Method Proposal for a Packaging Industry at the Manaus Industrial Hub

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  • Dan Ferreira Machado
  • Marcelo Albuquerque de Oliveira
  • Gabriela de Mattos Veroneze

Abstract

Every year, many companies hold meetings with their experts to prospect sales for the following year. Projections are often based on the team's experience and are subject to bias and errors. This article seeks to propose a statistical method of forecasting demand for a packaging company located in the Industrial Pole of Manaus, comparing performance metrics from different analyses. The results suggested that in general, the predictions had a good performance, but in certain cases, the need for a more human vision was also felt in order to ponder certain points. Therefore, the combination of quantitative and qualitative demand forecasting methods is essential.

Suggested Citation

  • Dan Ferreira Machado & Marcelo Albuquerque de Oliveira & Gabriela de Mattos Veroneze, 2021. "Demand Forecasting Method Proposal for a Packaging Industry at the Manaus Industrial Hub," European Journal of Business and Management Research, European Open Science, vol. 6(6), pages 106-113, November.
    • Handle: RePEc:epw:ejbmr0:v:6:y:2021:i:6:id:51101
    DOI: 10.24018/ejbmr.2021.6.6.1101
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    References listed on IDEAS

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    1. Kerkkänen, Annastiina & Korpela, Jukka & Huiskonen, Janne, 2009. "Demand forecasting errors in industrial context: Measurement and impacts," International Journal of Production Economics, Elsevier, vol. 118(1), pages 43-48, March.
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