Article
Computer Science, Interdisciplinary Applications
Ying-Ying Huang, Quan-Ke Pan, Jiang-Ping Huang, P. N. Suganthan, Liang Gao
Summary: This paper proposes an improved iterative greedy algorithm based on groupthink for solving the distributed assembly permutation flowshop scheduling problem with total flowtime criterion, and experimental results show that the proposed algorithm significantly outperforms other algorithms in comparison.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Yanjie Song, Junwei Ou, Jian Wu, Yutong Wu, Lining Xing, Yingwu Chen
Summary: With the rapid development of the satellite industry, effective satellite management has become crucial in ground operation management. A cluster-based genetic algorithm (C-BGA) is proposed to solve the satellite ranging scheduling problem (SRSP) using the k-means clustering method. The C-BGA incorporates heuristic rules for population initialization and cluster-based evolution for an ideal solution. Additionally, a task arrangement algorithm (TAA) is utilized to generate task execution plans and increase the probability of successful scheduling. Experimental results demonstrate the effectiveness of the proposed algorithm in solving the SRSP problem.
SWARM AND EVOLUTIONARY COMPUTATION
(2023)
Article
Automation & Control Systems
Guangyu Lu, Xinghu Yu, Hao Sun, Zhengkai Li, Jianbin Qiu, Huijun Gao
Summary: This article studies the optimization of surface mount technology and proposes a hierarchical framework with three heuristics to solve the problem. Experimental results show that the proposed algorithm has advantages in terms of effectiveness, efficiency, and extension.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Kuo-Ching Ying, Shih-Wei Lin
Summary: This study addresses a two-stage assembly additive manufacturing scheduling problem, where multiple parts are produced in job batches using identical parallel AM machines in the first stage and then assembled into the desired products in the second stage. A mixed-integer linear programming model and an innovative reinforcement learning metaheuristic called the iterated epsilon-greedy algorithm are proposed to minimize the makespan of this significant scheduling extension. The computational results based on 810 test instances demonstrate that the developed approaches are highly effective, efficient, and robust in solving the addressed problem. Notably, the research results effectively bridge the gap between theory and practice in AM production planning by integrating the production stage with the assembly stage.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Leonardo Ramos Emmendorfer, Anne Magaly de Paula Canuto
Summary: A novel linkage criterion for Hierarchical agglomerative clustering (HAC) is proposed and evaluated in this paper, named GAL. Empirical analysis shows that the results obtained by the proposed criterion surpass all existing reference methods in terms of performance.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Xingcheng Ran, Yue Xi, Yonggang Lu, Xiangwen Wang, Zhenyu Lu
Summary: Data clustering is a widely used technique in various fields to divide objects into different clusters based on similarity measures. Hierarchical clustering methods generate consistent partitions of data at different levels, allowing analysis of complex data structures. This article comprehensively reviews various hierarchical clustering methods, including recent developments, and examines the role of similarity measures in the clustering process.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Computer Science, Information Systems
Nana Liu, Zeshui Xu, Xiao-Jun Zeng, Peijia Ren
Summary: This paper introduces a new method for clustering LOR information using the AHC algorithm, by extending existing distance measure methods and simplifying aggregation methods. A numerical case study is presented to illustrate the algorithm's usage, and discussions are made on the features of the algorithm.
INFORMATION SCIENCES
(2021)
Article
Engineering, Industrial
Xueyan Sun, Weiming Shen, Birgit Vogel-Heuser
Summary: This paper addresses the distributed hybrid blocking flowshop scheduling problem with makespan criterion and proposes a hybrid genetic algorithm for solving it. Experimental results show that the proposed algorithm performs well on benchmarks and the local search method has a strong search capability.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Automation & Control Systems
Fuqing Zhao, Zesong Xu, Ling Wang, Ningning Zhu, Tianpeng Xu, J. Jonrinaldi
Summary: This article investigates a distributed assembly no-wait flow-shop scheduling problem (DANWFSP) and proposes a population-based iterated greedy algorithm (PBIGA) to address the problem. The PBIGA is shown to be effective and outperforms state-of-the-art algorithms in terms of minimizing total flowtime. Experimental results on large-scale benchmark instances demonstrate the superiority of the proposed PBIGA.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Mathematics
Xiaowu Chen, Guozhang Jiang, Yongmao Xiao, Gongfa Li, Feng Xiang
Summary: An intelligent manufacturing trend is identified within the steel industry, proposing a cyber-physical system framework for steel production scheduling. The framework utilizes an ontology-based knowledge model and heuristic rules for dynamic scheduling, incorporating a genetic programming algorithm and learning-based high-level selection strategy to address scheduling issues caused by production disturbances. The algorithm's performance is validated through simulation.
Article
Computer Science, Interdisciplinary Applications
Shuai Chen, Quan-Ke Pan, Liang Gao
Summary: Production scheduling is crucial in intelligent decision support systems and optimization technologies, especially in the era of globalization. This study focuses on the distributed blocking flowshop scheduling problem and proposes various heuristics and algorithms to minimize makespan.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Computer Science, Artificial Intelligence
Shu-Chuan Chu, Zhi-Gang Du, Yan-Jun Peng, Jeng-Shyang Pan
Summary: A new algorithm combining fuzzy surrogate-assisted and probabilistic particle swarm optimization is proposed to solve high-dimensional expensive problems. By fitting fitness evaluation functions using various models and implementing particle swarm optimization, the algorithm aims to improve performance in solving high-dimensional problems.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Xu Zhang, Zhixue Liao, Lichao Ma, Jin Yao
Summary: This study develops a mathematical model for integrated process planning and scheduling (IPPS) problems and proposes a hierarchical multistrategy genetic algorithm to solve these problems. The algorithm utilizes multiple crossover and mutation operators with global or local optimization strategies to enhance search capability and maintain population diversity. Benchmark testing confirms the effectiveness of the algorithm, particularly for high-complexity IPPS problems.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Chemistry, Analytical
Alaa E. Abdel-Hakim, Farag K. Abo-Elyousr
Summary: This paper proposes a model-free and training-free greedy scheduling strategy for efficient scheduling of electric vehicles in on-grid microgrids. By considering factors such as electricity price, state of arrival and departure, and total revenue, the proposed approach successfully meets load demands and reduces total costs. Experimental results demonstrate the ability of the greedy approach to achieve global optimal solutions under uncertainty scenarios.
Article
Engineering, Environmental
Jianhua Yan, Jianping Chen, Jiewei Zhan, Shengyuan Song, Yansong Zhang, Mingyu Zhao, Yongqiang Liu, Wanglai Xu
Summary: Identifying rock discontinuity sets is crucial for analyzing rock slope stability, and this paper introduces a new hierarchical agglomerative clustering method called MAGNES, which performs well in detecting discontinuity sets using the average linkage criterion.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Computer Science, Artificial Intelligence
Katsumi Morikawa, Katsuhiko Takahashi, Daisuke Hirotani
JOURNAL OF INTELLIGENT MANUFACTURING
(2018)
Article
Engineering, Industrial
R. B. Seno Wulung, Katsuhiko Takahashi, Katsumi Morikawa
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2018)
Article
Engineering, Multidisciplinary
Katsumi Morikawa, Katsuhiko Takahashi, Keisuke Nagasawa
ENGINEERING OPTIMIZATION
(2018)
Article
Engineering, Industrial
Shujuan Guo, Fei Geng, Katsuhiko Takahashi, Xiaohan Wang, Zhihong Jin
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2019)
Article
Green & Sustainable Science & Technology
Gang Ren, Xiaohan Wang, Jiaxin Cai, Shujuan Guo
Summary: The research focuses on the integrated allocation and scheduling of handling resources in railway container terminals, proposing a creative handling scheme and a multi-objective mixed-integer programming model. The development of a three-layer hybrid heuristic algorithm effectively improves system efficiency and energy-saving effects.
Article
Green & Sustainable Science & Technology
Shujuan Guo, Cuijie Diao, Gang Li, Katsuhiko Takahashi
Summary: This paper investigates the intermodal container terminal system of China Railway Express and optimizes the modes of container accumulation, with numerical experiments comparing the performance under different modes. The study also considers the cooperation between maritime and railway terminals in accelerating container accumulation.
Article
Green & Sustainable Science & Technology
Gang Li, Ruining Zhang, Shujuan Guo, Junyi Zhang
Summary: This research examines the impact of ride-hailing services on people's well-being, particularly in developing countries. It studies the factors influencing passenger satisfaction and the relationship between satisfaction and subjective well-being. The findings reveal that service perception, safety perception, external influence, and operation service significantly affect passenger satisfaction, and satisfaction, in turn, impacts life satisfaction differently for express and hitch services.
Article
Engineering, Industrial
Aditya Tirta Pratama, Katsuhiko Takahashi, Katsumi Morikawa, Keisuke Nagasawa, Daisuke Hirotani
INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS
(2018)
Article
Engineering, Industrial
Aditya Tirta Pratama, Katsuhiko Takahashi, Katsumi Morikawa, Keisuke Nagasawa, Daisuke Hirotani
INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS
(2018)
Article
Engineering, Industrial
Daisuke Hirotani, Katsumi Morikawa, Katsuhiko Takahashi, Keisuke Nagasawa
INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS
(2018)
Proceedings Paper
Engineering, Multidisciplinary
K. Takahashi, K. Morikawa, K. Nagasawa
24TH INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH (ICPR)
(2017)
Proceedings Paper
Engineering, Multidisciplinary
Katsumi Morikawa, Katsuhiko Takahashi, Keisuke Nagasawa
24TH INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH (ICPR)
(2017)
Proceedings Paper
Engineering, Multidisciplinary
K. Nagasawa, K. Morikawa, K. Takahashi
24TH INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH (ICPR)
(2017)
Proceedings Paper
Engineering, Multidisciplinary
T. Kataoka, K. Morikawa, K. Takahashi
24TH INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH (ICPR)
(2017)
Article
Robotics
Tsutomu Ito, Katsuhiko Takahashi, Katsumi Morikawa, Takao Ito, Rajiv Mehta, Seigo Matsuno, Makoto Sakamoto
JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE
(2017)