Article
Computer Science, Artificial Intelligence
Vincent F. Yu, Nabila Yuraisyah Salsabila, Nurhadi Siswanto, Po-Hsun Kuo
Summary: The research proposes a joint optimization model for managing spare parts inventory and planned maintenance to balance inventory cost and spare parts availability. The study shows that the independent policy results in lower cost than the aggregate policy, and the proposed Genetic Algorithm performs efficiently for large-scale problems.
APPLIED SOFT COMPUTING
(2022)
Article
Mathematics
Ernesto Armando Pacheco-Velazquez, Manuel Robles-Cardenas, Saul Juarez Ordonez, Abelardo Ernesto Damy Solis, Leopoldo Eduardo Cardenas-Barron
Summary: This article presents a heuristic method to determine the optimal inventory level for spare parts, aiming to minimize total costs. The research offers a valuable decision-making framework based on two parameters, providing a quick and reliable estimation for practitioners.
Article
Engineering, Industrial
Chaaben Kouki, Christian Larsen
Summary: The study focuses on a spare parts inventory system controlled by a base-stock policy, investigating two rationing policies for critically low inventory levels: reservation policy and threshold policy. Results show that in some cases, the threshold policy outperforms the reservation policy, while in other cases, the difference between the two is minimal.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Mathematics
Komeyl Baghizadeh, Nafiseh Ebadi, Dominik Zimon, Luay Jum'a
Summary: To address the issue of unexpected breakdowns in a production system, a mathematical model is proposed for determining optimal order quantities in the case of supplier failure. The inventory model used a Markov chain process model for crucial spare parts, and four metaheuristic algorithms were utilized for optimal ordering policies. Results showed that unreliable suppliers are sometimes necessary to reduce unmet demand.
Article
Computer Science, Information Systems
Yurong Guo, Quan Shi, Chiming Guo
Summary: This article focuses on the joint optimization of spare part management and spare part supply chain network optimization in multiple supply periods. A dynamic nonlinear programming model and an improved self-adaptive dynamic migrating particle swarm optimization algorithm are proposed to minimize the total cost.
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
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.
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)
Review
Engineering, Industrial
Alessandra Cantini, Mirco Peron, Filippo De Carlo, Fabio Sgarbossa
Summary: Configuring supply chains is crucial for the success of spare parts retailers. This paper introduces a new methodology called SP-LACE, which reviews the configuration of spare parts supply chains and evaluates their economic benefits. The results indicate that SP-LACE provides economic benefits and ensures high service levels, overcoming the limitations of existing literature methodology.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Green & Sustainable Science & Technology
Shuai Zhang, Kai Huang, Yufei Yuan
Summary: The importance of spare parts inventory management is gaining attention, particularly in the pursuit of sustainability. Research in this area is mainly divided into two categories, focusing on spare parts characteristics and research methodologies, and emphasizing supply chain structures and analytical techniques.
Article
Engineering, Multidisciplinary
Shuyuan Gan, Xinzhou Zhang, Lan Chen
Summary: An innovative maintenance policy is proposed for an efficient production system, involving spare parts ordering, production quality, and buffer inventory. Monte Carlo simulation and enumerative search are used to determine cost-effective spare parts ordering and maintenance policies to minimize production cycle cost. Numerical examples show that spare parts should be ordered late in situations with high buffer inventory costs.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2022)
Article
Engineering, Industrial
Jiachen Shi, Heraldo Rozas, Murat Yildirim, Nagi Gebraeel
Summary: Service supply chain models often suffer significant losses due to conservatism in maintenance and spare part management. However, conservatism alone cannot protect against unexpected consequences without a better understanding of risks. Risk scenarios such as asset failure and inventory shortage are frequently observed. Advances in IoT technology enable accurate prediction of these risk factors, driving dynamic decision models for more efficient maintenance and replenishment actions. This study proposes a unified framework that optimizes condition-based maintenance and inventory decisions using IoT data, considering the interplay between maintenance, spare parts inventory, and asset reliability.
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
Computer Science, Interdisciplinary Applications
Pieterjan Dendauw, Thomas Goeman, Dieter Claeys, Koen De Turck, Dieter Fiems, Herwig Bruneel
Summary: Condition-based maintenance strategy is proposed to significantly reduce operational costs by implementing preventive maintenance at critical levels, avoiding costly downtimes due to stock-outs. The study establishes a numerical procedure for selecting optimal base-stock and critical level thresholds, showing that the proposed critical level policy can indeed lead to substantial cost savings compared to traditional base-stock policies.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Qinming Liu, Wenyuan Lv
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2015)
Article
Engineering, Mechanical
Qinming Liu, Ming Dong, Wenyuan Lv, Xiuli Geng, Yupeng Li
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2015)
Article
Engineering, Multidisciplinary
Qinming Liu, Xiuli Geng, Ming Dong, Wenyuan Lv, Chunming Ye
ENGINEERING OPTIMIZATION
(2017)
Article
Computer Science, Artificial Intelligence
Qinming Liu, Ming Dong, Wenyuan Lv, Chunming Ye
JOURNAL OF INTELLIGENT MANUFACTURING
(2019)
Article
Computer Science, Interdisciplinary Applications
Qinming Liu, Ming Dong, F. F. Chen
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2018)
Article
Computer Science, Interdisciplinary Applications
Yupeng Li, Xuening Chu, Dongping Chen, Qinming Liu, Jing Shen
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2015)
Article
Engineering, Industrial
Yupeng Li, Xuening Chu, Dexin Chu, Qinming Liu
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2014)
Article
Engineering, Industrial
Qinming Liu, Ming Dong, F. Frank Chen, Wenyi Liu, Chunming Ye
JOURNAL OF MANUFACTURING SYSTEMS
(2020)
Article
Energy & Fuels
Qinming Liu, Zhinan Li, Tangbin Xia, Minchih Hsieh, Jiaxiang Li
Summary: This study proposes an opportunistic maintenance strategy for wind turbines that considers structural correlations, random correlations, and carbon emissions. It introduces a Weibull distribution to describe the deterioration trend of wind turbine subsystems and considers failure rates and reliability through random correlations among subsystems. The study also incorporates improvement factors and various costs to describe imperfect maintenance. A case study is provided to analyze the performance of the proposed model.
Article
Energy & Fuels
Qinming Liu, Daigao Li, Wenyi Liu, Tangbin Xia, Jiaxiang Li
Summary: A novel residual lifetime prognosis model based on a high-order hidden semi-Markov model (HOHSMM) is proposed for the power system health prognosis problem. The model utilizes an intelligent optimization algorithm group to optimize parameters and structure, achieving better performance and shorter computation time compared to traditional methods. The method also incorporates polynomial fitting for predicting residual lifetime in situations where the prior distribution is unknown.
Review
Energy & Fuels
Xiangxin An, Guojin Si, Tangbin Xia, Qinming Liu, Yaping Li, Rui Miao
Summary: With the increasing attention to sustainable development worldwide, the manufacturing industry, as the largest energy consumer, is facing pressure to optimize energy consumption. The operation and maintenance of manufacturing systems are considered to have the most potential for energy optimization, but face challenges such as dynamic manufacturing activities, complex system structures, and diverse interpretations of energy optimization definitions.
Article
Green & Sustainable Science & Technology
Wenhan Fu, Sheng Jing, Qinming Liu, Hao Zhang
Summary: Supply chain uncertainty is high due to low information transparency, long lead time, short product life cycles, lengthy production cycle time, and continuous technology migration. This study proposes a smart resilient supply chain framework and decision-making schema to enhance supply chain resilience and strengthen industrial competitiveness. An empirical study of demand forecast and risk inference for semiconductor distribution validates the proposed approach. The results show the practical viability of the approach in enhancing demand risk management and improving supply chain resilience.
Article
Psychology, Multidisciplinary
Min-Chih Hsieh, Lan-Xin Chen, Yu-Chi Lee, Qin-Ming Liu
Summary: This study investigated the impact of different brake light flashing frequencies on braking response time and found that flashing brake lights can reduce the time it takes for a driver to respond to braking. These findings can be used as a reference for safety designs and future research on driving behavior.
BEHAVIORAL SCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Xiuli Geng, Qinming Liu
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2015)
Proceedings Paper
Operations Research & Management Science
Q. M. Liu, M. Dong, W. Y. Lv
ENGINEERING ASSET MANAGEMENT - SYSTEMS, PROFESSIONAL PRACTICES AND CERTIFICATION
(2015)