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A View of Operations Research Applications in Italy, 2018Forecasting Methods and Optimization Models for the Inventory Management of Perishable Products: The Case of “La Centrale del Latte di Vicenza SpA”

A View of Operations Research Applications in Italy, 2018: Forecasting Methods and Optimization... [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A View of Operations Research Applications in Italy, 2018Forecasting Methods and Optimization Models for the Inventory Management of Perishable Products: The Case of “La Centrale del Latte di Vicenza SpA”

Part of the AIRO Springer Series Book Series (volume 2)
Editors: Dell'Amico, Mauro; Gaudioso, Manlio; Stecca, Giuseppe
Bertazzi, Luca; Maggioni, Francesca
Springer Journals — Sep 11, 2019
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11 pages

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2019
ISBN
978-3-030-25841-2
Pages
87 –98
DOI
10.1007/978-3-030-25842-9_7
Publisher site
See Chapter on Publisher Site

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.]

Published: Sep 11, 2019

Keywords: Perishable products; Forecasting methods; Material Requirements Planning (MRP); Optimization models

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