Article
Chemistry, Multidisciplinary
Rene Lastra, Alejandro Pereira, Miguel Diaz-Cacho, Jorge Acevedo, Antonio Collazo
Summary: This research focuses on the applicability of additive manufacturing (AM) to spare parts in the automotive manufacturing industry, specifically in the field of preventive maintenance. Through a case study conducted at the Stellantis factory in Vigo, Spain, the technical and economic feasibility of replacing polymer spare parts with AM parts made of polyamide material (PA12) using HP Multi-Jet and Selective Laser Sintering technology (SLS) is evaluated. The study provides observations, recommendations, and conclusions on the use of AM techniques to enhance preventive maintenance.
APPLIED SCIENCES-BASEL
(2022)
Article
Mathematics
Xiaoyue Wang, Jingxuan Wang, Ru Ning, Xi Chen
Summary: In order to respond to emergencies in a timely manner, it is crucial to have appropriate maintenance and spare parts inventory strategies for emergency engineering equipment considering demand priorities. Existing studies rarely consider the impact of urgency degree and demand priorities on the service order of the equipment. This study establishes a joint optimization model to bridge these research gaps.
Article
Computer Science, Interdisciplinary Applications
Rafael Lucas Costa Souza, Alireza Ghasemi, Ahmed Saif, Abolfazl Gharaei
Summary: This paper presents a modeling and solution approach for a robust job-shop scheduling problem, considering machine availability and degradation over time, and develops two metaheuristic algorithms to optimize job sequences and preventive maintenance tasks. Experimental results show excellent performance of the proposed algorithms in terms of both quality and runtime.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Jian-Xun Zhang, Dang-Bo Du, Xiao-Sheng Si, Chang-Hua Hu, Han-Wen Zhang
Summary: Standby redundancy technique is widely used to enhance system reliability. The study proposes an iterative method for lifetime estimation of standby systems with mixed spare-part degradation process, and establishes a joint optimization model to minimize costs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
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
Engineering, Industrial
Bingxin Miao, Qianwang Deng, Like Zhang, Zhangwen Huo, Xiaoyan Liu
Summary: This study analyzes the joint scheduling of spare parts production and service workers driven by distributed maintenance demand. By integrating spare parts production and worker allocation, the study aims to optimize customer satisfaction and total service cost. A modified algorithm is proposed to solve the problem, and extensive experiments demonstrate its superiority.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Review
Management
Cerag Pince, Laura Turrini, Joern Meissner
Summary: Forecasting spare parts demand has been a challenging issue for many companies, and has received considerable attention over the past fifty years. This paper provides a critical review and quantitative analysis of current literature on spare parts demand forecasting methods, offering detailed insights into when and why particular forecasting methods should be preferred.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Energy & Fuels
F. Abderrahmane, S. Bouslikhane, Z. Hajej, S. Dellagi, W. Trabelsi
Summary: This study aims to develop an optimized integrated maintenance strategy and spare parts management plan for wind turbine systems with observable degradation. The strategy integrates a spare parts policy and considers the random production of energy. By modeling the failure rate of the wind turbine systems as a function of the current operating mode, an improved maintenance strategy is developed and optimized to switch between perfect and imperfect preventive maintenance actions. The objective is to optimize the total cost of maintenance actions and spare parts management over a finite planning horizon, taking into account the impact of production rate on the failure rate of the wind turbine systems.
Article
Engineering, Industrial
Meimei Zheng, Hongqing Ye, Dong Wang, Ershun Pan
Summary: Efficient coordination in maintenance scheduling and spare parts management can reduce overall operational costs for companies. Balancing response times and prices from multiple suppliers is key in further reducing operational costs. A joint condition-based maintenance and spare parts provisioning policy can significantly reduce expected costs by as much as 42% in a multi-unit system with dual sourcing.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Hardware & Architecture
Bin Yan, Yifan Zhou, Mofan Zhang, Zhaojun Li
Summary: In a multiechelon inventory system, the curse of dimensionality is inevitable due to the exponential increase in state space. This article addresses this issue by decomposing transition probabilities and considering a more practical situation where the lead time is less than the review period. It also provides a case study on spare part inventory for wind turbines, obtaining nondominated inventory strategies to balance costs for the manufacturer and owners.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Engineering, Industrial
Sha Zhu, Willem van Jaarsveld, Rommert Dekker
Summary: In this study, we propose a spare parts optimization model and algorithm to balance the cost of ordering spare parts and the cost of project delay. Using two-stage stochastic programming, we determine spare parts ordering policies and develop a detailed project schedule. Our sample average approximation method solves large instances quickly.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Chemistry, Analytical
Jiaju Wu, Huijun Liu, Hongfu Zuo, Zheng Cheng, Yonghui Yang, Yongqi Ma, Linggang Kong
Summary: Spare parts are crucial for ensuring equipment availability with minimum cost. Traditional spare parts management faces challenges of fund shortage and spare parts scarcity. A multi-level spare parts optimization model based on demand-supply steady-state process is proposed in this paper to address the low accuracy issue in VARI-METRIC model for low equipment system availability.
Article
Construction & Building Technology
Dapeng Niu, Lei Guo, Xiaolin Bi, Di Wen
Summary: This paper presents a decision-making method for elevator parts' maintenance, which determines a reasonable maintenance period through analyzing historical fault data and establishing a mixed failure rate model. The study shows that a reasonable maintenance period can reduce the risk of equipment failure, save costs, and avoid excessive waste of resources.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Shuyuan Gan, Zhifang Song, Lei Zhang
Summary: In this study, an innovative maintenance strategy is proposed to handle the normal degradation and shock process of systems. The strategy includes dividing the system reliability into different stages and implementing corresponding maintenance activities, as well as determining optimal control variables using the Particle Swarm Optimization algorithm. The proposed strategy is shown to be necessary and effective.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Automation & Control Systems
Yuqiang Fu, Xiaoyan Zhu
Summary: This article proposes a new aperiodic preventive maintenance policy based on component reassignment in a multicomponent system. A binary mixed integer nonlinear programming model is established to minimize the expected annual system maintenance cost. Two matheuristic approaches, an integrative construction approach and a sequential construction approach, are proposed to solve the model. Numerical experiments demonstrate the effectiveness of the proposed model and solution approaches in maintenance policy scheduling.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Industrial
Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski
Summary: This article discusses the issues related to the redundancy of k-out-of-n structures and proposes a probabilistic and simulation-based optimization method. The method was applied to real transport systems, demonstrating its effectiveness in reducing costs and improving system availability and performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Wencheng Huang, Haoran Li, Yanhui Yin, Zhi Zhang, Anhao Xie, Yin Zhang, Guo Cheng
Summary: Inspired by the theory of degree entropy, this study proposes a new node identification approach called Adjacency Information Entropy (AIE) to identify the importance of nodes in urban rail transit networks (URTN). Through numerical and real-world case studies, it is found that AIE can effectively identify important nodes and facilitate connections among non-adjacent nodes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xian Zhao, Chen Wang, Siqi Wang
Summary: This paper proposes a new rebalancing strategy for balanced systems by switching standby components. Different switching rules are provided based on different balance conditions. The system reliability is derived using the finite Markov chain imbedding approach, and numerical examples and sensitivity analysis are presented for validation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Fengyuan Jiang, Sheng Dong
Summary: Corrosion defects are the primary causes of pipeline burst failures. The traditional methodologies ignore the effects of random morphologies on failure behaviors, leading to deviations in remaining strength estimation and reliability analysis. To address this issue, an integrated methodology combining random field, non-linear finite element analysis, and Monte-Carlo Simulation was developed to describe the failure behaviors of pipelines with random defects.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Guoqing Cheng, Jiayi Shen, Fang Wang, Ling Li, Nan Yang
Summary: This paper investigates the optimal joint inspection and mission abort policies for a multi-component system with failure interaction. The proportional hazards model is used to characterize the effect of one component's deterioration on other components' hazard rates. The optimal policy is studied to minimize the expected total cost, and some structural properties of the optimal policy are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Shaomin Wu
Summary: A new resilience model is proposed in this paper for systems under competing risks, and related indices are introduced for evaluating the system's resilience. The model takes into account the degradation process, external shocks, and maintenance interactions of the system, and its effectiveness is demonstrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yang Li, Jun Xu
Summary: This paper proposes a translation model based on neural network for simulating non-Gaussian stochastic processes. By converting the target non-Gaussian power spectrum to the underlying Gaussian power spectrum, non-Gaussian samples can be generated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yanyan Liu, Keping Li, Dongyang Yan
Summary: This paper proposes a new random walk method, CBDRWR, to analyze the potential risk of railway accidents. By combining accident causation network, we assign different restart probabilities to each node and improve the transition probabilities. In the case study, the proposed method effectively quantifies the potential risk and identifies key risk sources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Nan Hai, Daqing Gong, Zixuan Dai
Summary: The current risk management of utility tunnel operation and maintenance is of low quality and efficiency. This study proposes a theoretical model and platform that offer effective decision support and improve the safety of utility tunnel operation and maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Tomoaki Nishino, Takuya Miyashita, Nobuhito Mori
Summary: A novel modeling methodology is proposed to simulate cascading disasters triggered by tsunamis considering uncertainties. The methodology focuses on tsunami-triggered oil spills and subsequent fires and quantitatively measures the fire hazard. It can help assess and improve risk reduction plans.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Mingjiang Xie, Yifei Wang, Jianli Zhao, Xianjun Pei, Tairui Zhang
Summary: This study investigates the effect of rockfall impact on the health management of pipelines with fatigue cracks and proposes a crack propagation prediction algorithm based on rockfall impact. Dynamic SIF values are obtained through finite element modeling and a method combining multilayer perceptron with Paris' law is used for accurate crack growth prediction. The method is valuable for decision making in pipeline reliability assessment and integrity management.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Saeed Jamalzadeh, Lily Mettenbrink, Kash Barker, Andres D. Gonzalez, Sridhar Radhakrishnan, Jonas Johansson, Elena Bessarabova
Summary: This study proposes an integrated epidemiological-optimization model to quantify the impacts of weaponized disinformation on transportation infrastructure and supply chains. Results show that disinformation targeted at transportation infrastructure can have wide-ranging impacts across different commodities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Jiaxi Wang
Summary: This paper investigates the depot maintenance packet assignment and crew scheduling problem for high-speed trains. A mixed integer linear programming model is proposed, and computational experiments show the effectiveness and efficiency of the improved model compared to the baseline one.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
Summary: This paper proposes a DFMs searching algorithm based on the graph neural network (GNN) to improve computational efficiency and adaptively identify DFMs. The algorithm terminates prematurely when unable to identify new DFMs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)