Article
Computer Science, Artificial Intelligence
Sadegh Niroomand
Summary: The study examines the impact of different equipment models on assembly line tasks, proposing meta-heuristic algorithms to solve the assembly line balancing problem. Experimental results demonstrate the superiority of the artificial electric field algorithm and simulated annealing algorithm.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Yanqing Zeng, Zeqiang Zhang, Wei Liang, Yu Zhang
Summary: This study addresses the disassembly of mixed homogeneous products with similar structures, and proposes an improved optimization model and algorithm. The disassembly mode is guided by objective results to better adapt to actual disassembly situations, and the algorithm's performance is verified through practical cases.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Mathematics
Eduardo Alvarez-Miranda, Jordi Pereira, Harold Torrez-Meruvia, Mariona Vila
Summary: This study introduces a novel hybrid method to solve the simplified version of the assembly line balancing problem, SALBP-2, by reducing the state space of the problem effectively, and obtaining multiple new best-known solutions.
Review
Management
Nils Boysen, Philipp Schulze, Armin Scholl
Summary: The assembly line balancing problem is crucial for mass-producers to optimize labor division among workstations. This paper surveys scientific literature on this topic, covering data gathering methods, new problem variants and models, important algorithmic developments, and proposing a research agenda for the future.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
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)
Article
Computer Science, Interdisciplinary Applications
Santiago Valdes Ravelo
Summary: This study explores the three main optimization variants of the Simple Assembly Line Balancing problem and proposes efficient approximation algorithms for each of them.
JOURNAL OF COMBINATORIAL OPTIMIZATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Wenrui Jin, Zhaoxu He, Qiong Wu
Summary: This paper proposes a robust way to balance assembly lines with limited resources to hedge against variability. The proposed model aims to minimize regret and high costs caused by variability. The study shows that the developed method efficiently solves moderate-sized instances and enhances the performance of the Whale Optimization Algorithm.
ENGINEERING COMPUTATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohd Fadzil Faisae Ab Rashid, Ariff Nijay Ramli
Summary: This study proposes a new multiobjective optimization metaheuristic called MOTTA, based on the tiki-taka algorithm. MOTTA aims to minimize the cycle time and workstation number simultaneously in a simple assembly line balancing problem. Experimental results show that MOTTA outperforms other algorithms in the CEC09 benchmark functions and successfully finds a large percentage of Pareto optimal solutions in the SALB-E optimization.
ENGINEERING COMPUTATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Rongfan Liu, Ming Liu, Feng Chu, Feifeng Zheng, Chengbin Chu
Summary: This study focuses on the multi-skilled worker assignment and assembly line balancing problem with the consideration of energy consumption. By utilizing a bi-objective optimization approach, a processing time and energy consumption sorted-first rule is developed, which outperforms other algorithms in terms of computational time and solution quality.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Morteza Khorram, Mahmood Eghtesadifard, Sadegh Niroomand
Summary: This paper studies a new U-shaped assembly line balancing problem, optimizing equipment cost, number of stations, and activity performing quality level simultaneously by activity to station and worker to station decisions. Classical algorithms and meta-heuristics are used to propose two hybrid versions for better performance, with computational study proving their superiority over the classical algorithms.
Article
Management
Zeqiang Zhang, Lixia Zhu, Yarong Chen, Chao Guan
Summary: This paper proposes a multi-objective hybrid evolutionary search algorithm to optimize the parallel production line balancing problem. The algorithm uses crossover and mutation operations to generate neighborhood individuals and a mixed population for population update. A local search based on simulated annealing is applied to overcome premature convergence. The advantages of the algorithm are proved through testing and applied to a real production line design, demonstrating the benefits of parallel production lines.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Qiuhua Tang, Kai Meng, Lixin Cheng, Zikai Zhang
Summary: This article proposes an improved multi-objective multifactorial evolutionary algorithm to handle assembly line balancing considering regular production and preventive maintenance. By sharing effective knowledge fragments and enhancing convergence performance, this algorithm effectively optimizes operation allocation plans and outperforms other algorithms.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Engineering, Industrial
Y. Lahrichi, N. Grangeon, L. Deroussi, S. Norre
Summary: We propose a polynomial exact algorithm to balance the reconfigurable transfer line while taking into account the overall sequence of operations. The algorithm is embedded in a metaheuristic framework to solve the balancing problem when the overall sequence of operations is not fixed. Experimentation on literature instances shows the effectiveness of the proposed approach compared to existing methods.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Information Systems
G. Annie Poornima Princess, A. S. Radhamani
Summary: A cloud computing technology is utilized for balancing the load in virtual systems by integrating Harries Hawks Optimization and Pigeon inspired Optimization Algorithm to ensure optimal resource utilization and minimized task response time. This proposed approach has shown 97% efficiency compared to existing methods, significantly balancing the load within a shorter time frame among Virtual Machines.
JOURNAL OF GRID COMPUTING
(2021)
Article
Automation & Control Systems
Kai Meng, Qiuhua Tang, Zikai Zhang
Summary: This paper investigates the assembly line balancing problem with preventive maintenance scenarios, and proposes a robust approach to solve the uncertain processing time. A mixed-integer optimization model and an improved algorithm are developed to solve this problem. Experimental results demonstrate the necessity of considering preventive maintenance scenarios.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Operations Research & Management Science
Liang Tang, Zhihong Jin, Xuwei Qin, Ke Jing
ANNALS OF OPERATIONS RESEARCH
(2019)
Article
Green & Sustainable Science & Technology
Charles Baah, Zhihong Jin, Liang Tang
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Multidisciplinary Sciences
Lei Xing, Qi Xu, Jiaxin Cai, Zhihong Jin
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
Wenqing He, Zhihong Jin, Ying Huang, Shida Xu
Summary: This paper investigates the Inland Container Transportation (ICT) problem with carbon dioxide emissions and proposes an improved optimization algorithm to reduce fuel and carbon emission costs. The numerical experiments demonstrate the excellent stability of the algorithm under different task characteristic distributions.
Article
Green & Sustainable Science & Technology
Zhihong Jin, Xin Lin, Linlin Zang, Weiwei Liu, Xisheng Xiao
Summary: This paper proposes a lane allocation framework combining the truck appointment system to relieve gate congestion and reduce carbon emissions in seaports. Numerical studies confirmed the validity of the proposed model and algorithm, showing that lane allocation decisions can significantly reduce carbon emissions and operation costs.
Article
Green & Sustainable Science & Technology
Msabaha Juma Mwendapole, Zhihong Jin
Summary: The study evaluated the service quality of Tanzanian seaports, revealing a negative gap between provided services and user expectations, particularly with Dar es Salaam seaport having poor service quality. Using the SERVQUAL model, it was found that responsiveness significantly influences customer satisfaction while reliability leads to customer dissatisfaction.
Article
Computer Science, Artificial Intelligence
Jiaxin Cai, Yubo Li, Yandong Yin, Xiaohan Wang, Edirisinghe Lalith, Zhihong Jin
Summary: This paper optimizes the empty container repositioning between public hinterlands and ports in regional port clusters through a mathematical model and numerical analysis. The results show that the quantitative inventory control strategy is more effective than the periodical strategy and can significantly reduce the total cost of shipping companies.
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
Green & Sustainable Science & Technology
Muhammad Ilyas, Zhihong Jin, Irfan Ullah, Abbas Agha Jafri
Summary: Maritime security is facing various challenges, such as war conflicts, geopolitics, sanctions, and pandemics. The COVID-19 pandemic has significantly impacted the supply chain for maritime containers, leading to port closures, travel restrictions, and a decreased workforce. As a result, the risk of cargo theft, piracy, and other security events has increased. This research paper analyzes 64 risk factors using indexes like likelihood, severity, and average risk to evaluate the impact of the pandemic on the security of the marine container supply chain.
Article
Transportation
Na Li, Gang Chen, Manwo Ng, Wayne K. Talley, Zhihong Jin
MARITIME POLICY & MANAGEMENT
(2020)
Proceedings Paper
Computer Science, Cybernetics
Jiaxin Cai, Lixin Shen, Zhihong Jin
2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)
(2019)
Article
Transportation
Qianwen Sun, Jiaqing Sun, Zhihong Jin, Shichao Sun
MARITIME POLICY & MANAGEMENT
(2019)
Article
Computer Science, Artificial Intelligence
Qi Xu, Zuona Li, Lixin Shen, Zhan Bian, Lei Xing, Zhihong Jin
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
(2019)