Article
Multidisciplinary Sciences
Xueyi Ai, Yi Yue, Haoxuan Xu, Xudong Deng
Summary: This paper introduces a new joint replenishment problem involving non-instantaneous deteriorating items replenished from multiple suppliers under quantity discounts schemes. The proposed mathematical model integrated with the IMFO algorithm shows good performance and search stability in solving this problem. Extensive experiments further validate the effectiveness of the proposed model.
Article
Engineering, Multidisciplinary
Guoqing Cheng, Ling Li
Summary: This paper presents a general repair-replacement model for a k-component series system, analyzing component failure, repair, and replacement strategies. Research findings include the explicit expression of the long-run average cost rate and the optimal policy relationship between series system and single-component system.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Engineering, Industrial
Jingjing Wang, Qingan Qiu, Huanhuan Wang
Summary: This paper introduces a joint optimization problem for a series system with two non-identical units, aiming to minimize the system average maintenance cost by simultaneously determining replacement and ordering activities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
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
Operations Research & Management Science
Yue Xie, Allen H. Tai, Wai-Ki Ching, Yong-Hong Kuo, Na Song
Summary: This paper investigates joint inspection and inventory control policies under mixed sales situation with time-dependent demand and deterioration rate, and proposes an additional ordering contract to enhance the inventory holder’s profit. Two different inspection policies are considered: one inspection during the cycle and continuous monitoring in the cycle. Results show that employing additional ordering and conducting inspections can increase net profit in inventory control of deteriorating products.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Yue Zhang, Hao-Wei Chen
Summary: This paper studies the multi-item joint inventory replenishment problem in industrial vending machines and proposes a simulation optimization framework to determine the optimal inventory decisions. Through developing simulation models and conducting experiments with different optimization methods, the optimal solution is obtained.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yanshun Dai
Summary: This paper models a dual-unit standby system with non-identical units, formulating a constrained optimization problem to determine the joint RMS and mission abort policy. The study shows that both the RMS and mission abort threshold parameters adopted significantly affect the mission success probability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Elizabeth Bismut, Daniel Straub
Summary: This paper presents a heuristic-based approach using simple decision rules to optimize inspection and maintenance plans for large structures. The method involves adaptive planning to continuously adjust the initial I&M plan throughout the service life based on past inspection and monitoring results.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Manufacturing
Tao Yan, Yaguo Lei, Naipeng Li, Liliane Pintelon, Reginald Dewil
Summary: This paper investigates the joint optimization for multi-unit systems with a generalized structure. A total cost rate model is formulated, and a simulation optimization method is proposed. Numerical examples and sensitivity analyses are provided to validate the feasibility and effectiveness of the method.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2023)
Article
Computer Science, Interdisciplinary Applications
Simon Thomas, Qing Li, Grant Steven
Summary: This study proposes a new approach for designing finite periodic structures by allowing variable orientation states of individual unit-cells. Incorporating assembly flexibility within periodic topology optimization greatly expands the design space and enhances the advantage of structural periodicity. The new approach has been demonstrated to outperform traditional non-oriented periodic structures in both static and vibratory criteria.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Information Systems
Yingyi Li, Ying Chen, Qingyuan Zhang, Rui Kang
Summary: This paper proposes a reliability analysis method for multi-state deteriorating systems based on belief reliability theory. By utilizing an uncertain state transition chain model and an inequality within the framework of uncertainty theory, an algorithm for belief reliability considering the uncertainty of inspection time is provided.
INFORMATION SCIENCES
(2022)
Article
Engineering, Electrical & Electronic
Dheeraj Naidu Amudala, Bibhor Kumar, Rohit Budhiraja
Summary: This article investigates the downlink of a relay-aided multi-cell massive MIMO system with non-orthogonal multiple access (NOMA). The system is modeled with spatially-correlated Rician-faded channels and estimation errors. A lower bound on the spectral efficiency is derived, and a non-convex global energy efficiency metric is optimized using a low-complexity alternating minimization maximization approach. The proposed algorithm exhibits similar performance as an existing joint optimization framework but with much less complexity.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Automation & Control Systems
Hemant Gehlot, Shreyas Sundaram, Satish Ukkusuri
Summary: The passage discusses finding an optimal control policy for a system where components experience disruptions and their health values decrease over time. Depending on the conditions, the optimal control strategy can target the component with the largest state value or the component with the least state minus deterioration rate.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Engineering, Multidisciplinary
S. M. Hadian, H. Farughi, H. Rasay
Summary: The study proposes a mathematical model for joint planning of maintenance policies and inventory control in a deteriorating production system. The optimal planning of maintenance and inventory improves the productivity of the manufacturing system. The main objective is to minimize the expected total cost per time unit by optimizing the safety stock level and time to conduct maintenance actions.
Article
Automation & Control Systems
Mengshen Chen, Huaicheng Yan, Hao Zhang, Sha Fan, Hao Shen
Summary: This paper addresses the problem of periodic event-triggered consensus in multi-agent systems subject to input saturation constraints. A novel dual periodic event-triggered mechanism is proposed to effectively screen data under input saturation. The disturbance attenuation level is described by a mixed H infinity and passive performance criterion. Less conservative consensus criteria are derived based on the Lyapunov-Krasovskii functional. The relationship between the disturbance attenuation level and the data transmission rate is explored under different input saturation constraints. A particle swarm optimization algorithm is utilized to estimate and enlarge the region of asymptotic consensus. An example is presented to demonstrate the effectiveness and superiority of the proposed method.
Article
Engineering, Industrial
Xiaoliang Yan, Reed Williams, Elena Arvanitis, Shreyes Melkote
Summary: This paper extends prior work by developing a semantic segmentation approach for machinable volume decomposition using pre-trained generative process capability models, providing manufacturability feedback and labels of candidate machining operations for query 3D parts.
JOURNAL OF MANUFACTURING SYSTEMS
(2024)
Article
Engineering, Industrial
Jing Huang, Zhifen Zhang, Rui Qin, Yanlong Yu, Guangrui Wen, Wei Cheng, Xuefeng Chen
Summary: In this study, a deep learning framework that combines interpretability and feature fusion is proposed for real-time monitoring of pipeline leaks. The proposed method extracts abstract feature details of leak acoustic emission signals through multi-level dynamic receptive fields and optimizes the learning process of the network using a feature fusion module. Experimental results show that the proposed method can effectively extract distinguishing features of leak acoustic emission signals, achieving higher recognition accuracy compared to typical deep learning methods. Additionally, feature map visualization demonstrates the physical interpretability of the proposed method in abstract feature extraction.
JOURNAL OF MANUFACTURING SYSTEMS
(2024)