Optimal Operation of a Tablet Pressing Machine Using Deep-Neural-Network-Embedded Mixed-Integer Linear Programming

Optimal Operation of a Tablet Pressing Machine Using Deep-Neural-Network-Embedded Mixed-Integer Linear Programming

This paper presents a deep neural network (DNN)-embedded mixed-integer linear programming (MILP) model for fault prediction and production optimization in tablet pressing machines. The DNN predicts the probability of failures during the tablet pressing process by analyzing key operational parameters...

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Bibliographic Details
Main Authors: Jialong Li, Lan Wu, Yuang Qin, Haojun Zhi
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Inventions
Subjects:
deep neural network
mixed-integer linear programming
fault prediction
tablet pressing machines
maintenance scheduling
manufacturing systems
Online Access:https://www.mdpi.com/2411-5134/10/2/29
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