Matteo Accarrino
Improving demand and inventory forecast with data analytics techniques in a real manufacturing business case.
Rel. Tania Cerquitelli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale, 2019
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Abstract
The manufacturing industry has always had to deal with a contraposition in the context of the inventory management. On the one hand, it is necessary ensure the financial efficiency by trying to build up smaller inventories, in order to reduce costs of their management and to avoid company's assets slow and ineffective turn over. On the other hand, it is essential make sure that there is an operational continuity and, as a consequence, an high level of service. Therefore, companies are called to define a right and winning balance. In this fundamental task, data analytics techniques can help them, becoming a key factor in decision-making process and, more generally, an indispensable strategic weapon.
Particularly, they may be a value added support to demand sizing and subsequent production forecasting, making them more effective and robust, translating, hence, into a competitive advantage
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