Título: |
DEMAND FORECAST: A CASE STUDY IN SUPPLY CHAIN
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Instituição: |
PONTIFÃCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO - PUC-RIO
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Autor(es): |
ACHILES RAMOS RIBEIRO
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Colaborador(es): |
MADIAGNE DIALLO - Orientador
MONICA BARROS - Coorientador
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Data da catalogação: |
08 11:10:20.000000/11/2017 |
Tipo: |
THESIS
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Idioma(s): |
PORTUGUESE - BRAZIL |
Referência [pt]: |
https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/DEI/serieConsulta.php?strSecao=resultado&nrSeq=31940@1 |
Referência [en]: |
https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/DEI/serieConsulta.php?strSecao=resultado&nrSeq=31940@2 |
Referência DOI: |
https://doi.org/10.17771/PUCRio.acad.31940
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Resumo:
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The main objective of this dissertation is the presentation of basic forecasting methods and their implementation in a case study in supply chain. The first chapter points out the importance of forecasting in this context and describes the company selected for the case study and some of its internal
processes that will be under scrutiny in the case study presented in this dissertation. The second chapter discusses the concepts and models of forecasting and reviews some of the major techniques in the field. In chapter three, standard forecasting techniques are apllied to real data (ten time series) from the company
and select the most appropriate model in each case. Model adjustment is performed through the Forecast Pro software, one of the best-known products in the market. Chapter four contains the conclusions and the evaluation of the impacts of the proposed methodology on the company s results, especially the
increased accuracy of forecasting and, consequently, the reduction in the import costs and stock out index.
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