Article
Computer Science, Information Systems
Mengying Han, Zhichao Ma, Shugang Ma, Wei Li, Jianhua Yang
Summary: This paper proposes a joint strategy for condition-based maintenance and spare ordering for a multistate system subject to competing failures. The system has hidden failures that can be divided into hard failures and soft failures. The proposed strategy includes periodic inspections to identify system states and preventive or corrective replacements based on the defective or failed state. Spare ordering is done when the system operating time reaches a predetermined threshold. An optimization model is established considering different renewal events and a modified artificial bee colony algorithm and discrete simulation algorithm are used to find optimal solutions. The numerical example validates the effectiveness and applicability of the proposed strategy.
Article
Computer Science, Information Systems
Mengying Han, Zhichao Ma, Shugang Ma, Wei Li, Jianhua Yang
Summary: This paper develops a joint strategy for condition-based maintenance and spare ordering in a multistate system subject to competing failures. The states of the system are identified through periodic inspections, and replacement is done preventively or correctively based on the state. When the operating time reaches a certain threshold, spare ordering is performed. A threshold level is introduced to postpone preventive replacement when the ordered spare is delivered before the defective state is detected. The joint optimization model is established by analyzing all possible renewal events, and optimal solutions are found using a modified artificial bee colony algorithm and discrete simulation algorithm. Numerical examples demonstrate the superiority and effectiveness of the proposed strategy compared to a comparative model, illustrating the applicability of the proposed model.
Article
Automation & Control Systems
Han Mengying, Yang Jianhua, Zhao Xiao
Summary: This paper proposes a joint inspection-based maintenance and spare ordering optimization policy for a manufacturing system, considering the integrated issues of inspection, preventive maintenance, spare ordering, and quality control. The policy involves two ordering modes and introduces a threshold level to determine preference for emergency orders. By minimizing the expected cost per unit time, the optimal policy is formulated, demonstrating superior performance over existing models in terms of expected cost per unit time through numerical examples.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2021)
Article
Computer Science, Information Systems
Shengang Hao, Jun Zheng, Jie Yang, Haipeng Sun, Quanxin Zhang, Li Zhang, Nan Jiang, Yuanzhang Li
Summary: This paper studies the joint optimization of condition-based maintenance (CBM) policy and spare components inventory for multi-component systems. An improved deep reinforcement learning algorithm based on the stochastic policy and actor-critic framework is proposed. Experimental results show that the proposed algorithm outperforms other benchmark algorithms in terms of time performance and system cost.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Xiao Zhao, Jianhua Yang, Yue Qin
Summary: This paper presents an optimal condition-based maintenance strategy for a single-unit system during two-stage failure, with calculations based on renewal reward theory to determine system profit. The optimization of system profit is achieved through a hybrid factor balancing cost and availability, while sensitivity studies on decision objectives are conducted through numerical simulations.
Article
Computer Science, Interdisciplinary Applications
Junqiang Liu
Summary: This paper introduces a new approach for three-stage maintenance optimization management of aircraft structures, which effectively reduces the total maintenance cost and achieves a better optimal maintenance cost rate through a four-level planning algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Baokui Yang, Xiaosheng Si, Hong Pei, Jianxun Zhang, Huiqing Li
Summary: This study proposes a joint maintenance strategy considering the uncertainty of the number of imperfect maintenance activities for nonlinear degraded equipment. It linearizes the nonlinear degradation data and constructs a degradation model under the influence of imperfect activities. The number of maintenances is calculated, and decision variables are optimized to minimize cost.
Article
Computer Science, Interdisciplinary Applications
Ahmad Al Hanbali, Haitham H. Saleh, Omar G. Alsawafy, Ahmed M. Attia, Ahmed M. Ghaithan, Awsan Mohammed
Summary: The upcoming industrial revolution 4.0, based on the internet of things and prescriptive analytics, paves the way for the spread of continuously monitored condition-based maintenance (CBM) in the industry. In CBM implementations, the impact of spare parts quality, lead-time, and inspection errors on maintenance cost and system availability must be considered. A new maintenance model is proposed to incorporate these factors along with different cost factors and optimize the degradation level at which spare parts are ordered.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Social Sciences, Interdisciplinary
Yuanchang He, Zhenhua Gao
Summary: This paper presents a maintenance management method that optimizes preventive maintenance and spare parts ordering strategies using a dynamic early warning period model based on different equipment states. The proposed method effectively reduces maintenance costs.
Article
Computer Science, Interdisciplinary Applications
Yanjing Zhang, Jingyuan Shen, Yizhong Ma
Summary: This paper studies a two-stage system subject to two competing risks, where failures are hidden and can only be detected through periodic inspections. A preventive maintenance policy based on observed system state is proposed to minimize the expected cost rate, by determining the optimal inspection interval. A numerical example is provided to demonstrate the applicability of the method and results.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Rui Peng, Xiaofeng He, Chao Zhong, Gang Kou, Hui Xiao
Summary: This research discusses the optimal maintenance policies considering multiple failure modes in parallel systems and evaluates their applications through simulation experiments. The findings provide valuable insights for choosing the best policy.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Nan Zhang, Kaiquan Cai, Jun Zhang, Tian Wang
Summary: This study investigates the condition-based maintenance of a two-component system under imperfect inspection. A dual periodical inspection policy is proposed, and an algorithm is developed to achieve maintenance optimization. Numerical examples demonstrate the applicability of the model in providing reference for optimizing maintenance budget decisions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Management
Alp Akcay
Summary: This study investigates the inspection scheduling decisions for a production process that experiences a hidden defective state before failure. A new inspection policy is proposed, which utilizes alert signals from a predictive model to trigger inspections in addition to age-based planned inspections. The experiments demonstrate that adding alert-triggered inspections can result in a significant reduction in the expected cost rate.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
M. D. Berrade, E. Calvo, F. G. Badia
Summary: We propose a model for inspecting and maintaining systems with two types of failures. The model considers early failures caused by weak critical components and age-related failures addressed by preventive maintenance. The unique aspects of this model are the use of defective distribution to model defect-free strong components and the removal of weak critical parts without rejuvenation, serving as a minimal repair alternative. We analyze the conditions under which this model outperforms other classical age-replacement models in terms of cost, and provide insights on the proportion of weak units and the quality of inspections for optimum maintenance policy decision-making. A case study on the timing belt of a four-stroke engine demonstrates the application of the model.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Hardware & Architecture
Jiawen Hu, Qiuzhuang Sun, Zhi-Sheng Ye
Summary: The article proposes a condition-based maintenance policy for systems subject to both degradation-induced soft failure and sudden hard failure, using Wiener process and Weibull model for degradation and baseline hazard rate. The reliability function is derived using Brownian bridge theory. A numerical study is conducted to validate the maintenance policy.
IEEE TRANSACTIONS ON RELIABILITY
(2021)
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
