An Economic Order Quantity Stochastic Dynamic Optimization Model in a Logistic 4.0 Environment

An Economic Order Quantity Stochastic Dynamic Optimization Model in a Logistic 4.0 Environment

This paper proposes a stock dynamic sizing optimization under the Logistic 4.0 environment. The safety stock is conceived to fill up the demand variability, providing continuous stock availability. Logistic 4.0 and the smart factory topics are considered. It focuses on vertical integration to implem...

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Bibliographic Details
Main Authors: Mario Di Nardo, Mariano Clericuzio, Teresa Murino, Chiara Sepe
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sustainability
Subjects:
Full-Service
Logistic 4.0
Smart Factory
Maintenance
safety-stock
EOQ
Online Access:https://www.mdpi.com/2071-1050/12/10/4075

Internet

https://www.mdpi.com/2071-1050/12/10/4075

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