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Forecasting Methods and Optimization Models for the Inventory Management of Perishable Products: The Case of “La Centrale del Latte di Vicenza SpA”

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A View of Operations Research Applications in Italy, 2018

Part of the book series: AIRO Springer Series ((AIROSS,volume 2))

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Abstract

This paper is a report on a joint project by the Department of Management, Economics and Quantitative Methods of the University of Bergamo (in collaboration with the Department of Economics and Management of the University of Brescia) and the Italian company “La Centrale del Latte di Vicenza SpA” producing different types of milk, yogurt, vegetable drinks, cream, butter, cheese, eggs and vegetables. The aim of the project was to provide forecasting methods and optimization models, to improve the demand forecasts of perishable products and to better manage inventory levels in a Material Requirements Planning (MRP) setting.

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Acknowledgements

The authors would like to thank “La Centrale del Latte di Vicenza SpA”, in particular Dr. Andrea Barban and Dr. Gian Luigi Gallio for the description of the problem, the provided historical data and for stimulating this research. The authors would like to thank the “Sportello Matematico per l’Industria Italiana”, in particular Dr. Valentina Gratta, Dr. Anna Melchiori and Dr. Antonino Sgalambro, for the support provided in the management of this project. Finally, the authors would like to thank Dr. Elena Poiatti for the support given in the analysis of the data.

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Correspondence to Francesca Maggioni .

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Bertazzi, L., Maggioni, F. (2019). Forecasting Methods and Optimization Models for the Inventory Management of Perishable Products: The Case of “La Centrale del Latte di Vicenza SpA”. In: Dell'Amico, M., Gaudioso, M., Stecca, G. (eds) A View of Operations Research Applications in Italy, 2018. AIRO Springer Series, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-25842-9_7

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