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Sep 2026

Maintenance policy optimization for multi-component systems with stochastic degradation and visit-level economic dependencies

The purpose of this paper is to propose and systematically evaluate coordinated maintenance policies for multi-component systems undergoing stochastic degradation in the presence of visit-level economic dependencies. By explicitly incorporating condition monitoring and system-level decision mechanisms, the study ai...

K. Cheikh, El Mostapha Boudi · 0 citations
Open access Sep 2026

Order Acceptance and Scheduling in Manufacturing Systems: A Reinforcement Learning Approach

Smart-OAS (Order Acceptance and Scheduling), a Reinforcement Learning-based methodological framework for the integrated OAS process, is introduced, addressing the limitations of traditional heuristic rules, whose efficiency decreases significantly in the presence of critical bottleneck resources.

D. Luiza · 0 citations
Preprint Sep 2026

Regime-Dependent Value of CVaR in Preventive Maintenance Scheduling under RUL Uncertainty

We study preventive-maintenance scheduling for a small fleet when several assets compete for a limited number of maintenance slots and their remaining useful lives (RULs) are uncertain. The planning horizon is divided into discrete periods; each asset may be maintained at most once, and at most $K$ assets may be mainta...

Jerzy Baranowski, W. Bauer · 0 citations
Open access Aug 2026

Optimal Decision-Making in Production Processes Based on Sequential Sampling and Dynamic Programming

Aiming at the quality control and cost optimization problems in the production process of electronic products, this paper proposes a complete decision-making framework based on sequential sampling and multi-stage dynamic programming. First, the sequential probability ratio test (SPRT) is used to design a dynamic sampli...

Xing-Yuan Liu, Zile Xu, Xue-jiao Lu et al. · 0 citations
Aug 2026

Maintenance modelling of a multi-state critical system subject to inspection defaults and errors

This study develops a maintenance policy that integrates inspections and preventive replacement and that is specifically designed for systems with three distinct stages of degradation. The proposed approach distinguishes itself from previous models by accounting for: external factors that may impede the execution of...

Rafael G. N. Paiva, V. H. R. Lima, Augusto J. S. Rodrigues et al. · 0 citations
Open access Sep 2026

Stochastic dynamic programming for condition-based maintenance and production considering predetermined demand and maintenance delay in a finite planning horizon

Today, equipment, sensors, and the Internet of Things have enabled remote monitoring and control of production equipment in less time. These technologies can be used for condition-based maintenance to reduce costs and increase reliability. In addition to maintenance actions, another approach to controlling system failu...

P. Mohammadipour, H. Farughi, H. Rasay · 0 citations

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