RESEARCH PAPER
Optimal maintenance strategy for imperfect manufacturing system considering operational availability under delay propagation
1
School of Mechanical and Aerospace Engineering, Jilin University, China
2
CHONGQING QINGPING MACHINERY CO.,LTD, China
3
Chongqing Research Institute, Jilin University, China
4
Faw Jiefang Automotive Co.,Ltd, China
A – Conceptualization; B – Methodology; C – Software; D – Validation; E – Formal analysis; F – Investigation; G – Resources; H – Data curation; I – Writing – original draft; J – Writing – review & editing; K – Visualization; L – Supervision; M – Project administration; N – Funding acquisition
Submission date: 2025-03-20
Final revision date: 2025-05-05
Acceptance date: 2025-06-14
Online publication date: 2025-06-14
Publication date: 2025-06-14
Corresponding author
Eksploatacja i Niezawodność – Maintenance and Reliability 2026;28(1):207148
HIGHLIGHTS
- Maintenance strategy integrates operational availability under delay propagation.
- Introducing delay time as a state variable to handle operational availability impacts.
- A Markov Decision Process–Based Condition-Based Maintenance Model.
- A scenario-based value iteration method to solve discrete health states effectively.
KEYWORDS
ReliabilityCondition-based maintenanceImperfect manufacturing systemOperational availabilityDelay propagationMarkov decision process
TOPICS
ABSTRACT
Manufacturing system degradation can damage its reliability, resulting in decreased product quality and delayed deliveries. These challenges are characteristic of imperfect manufacturing systems. Moreover, the propagation of delay time across task periods may reduce the operational availability in future periods. Condition-based maintenance is an effective method for mitigating system degradation and enhancing reliability. However, existing condition-based maintenance studies often overlook the impact of delay propagation on operational availability. To address this issue, this paper proposes a condition-based maintenance model based on a Markov decision process. By introducing delay time as a state variable to capture changes in operational availability and incorporating it into the reward model, the proposed strategy aims to maximize enterprise profit. A case study and comparative analysis using data from a manufacturing enterprise validate the effectiveness and superiority of the proposed model in improving economic performance.
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