We consider the maintenance process of gas turbines used in the Oil and Gas industry: the
capital parts are first removed from the gas turbines and replaced by parts of the same type …

For maintenance of gas turbines (GTs) in oil and gas applications, capital parts are removed
and replaced by parts of the same type taken from the warehouse. When the removed parts …

Abstract Deep Reinforcement Learning (DRL) has been included into the production system
for multiple objectives, including control, scheduling, and maintenance planning …

Applying machine learning methods to improve the efficiency of complex manufacturing
processes, such as material handling, can be challenging. The interconnectedness of the …

Abstract Production Planning and Control (PPC) is crucial for any manufacturer and
comprises steps such as demand management, production, or source planning …

In this paper, we model preventive maintenance strategies for equipment composed of multi-
non-identical components which have different time-to-failure probability distribution, by …

One of the main objectives of Material Flow Control (MFC) is to ensure delivery performance.
Traditional MFC realizes this through independent decisions at two levels: order release and …

The manufacturing world is subject to ever-increasing cost optimization pressures.
Maintenance adds to cost and disrupts production; optimized maintenance is therefore of …

This paper introduces a method of learning search control knowledge in schedule
optimization problems through application of reinforcement learning. Reinforcement …

Maintenance policy optimization is crucial for ensuring the efficient functioning of structures
and systems and mitigating the risk of deterioration. Reinforcement learning methods …