Review
Computer Science, Interdisciplinary Applications
Mahboobe Kheirabadi, Samira Keivanpour, Yuvin Adnarain Chinniah, Jean-Marc Frayret
Summary: In this study, we examined the research on various challenges in assembly line optimization over the past decade through Web of Science and Engineering Village. We found that the collaboration of humans and robots in a fenceless environment requires a more comprehensive approach in balancing problems. Resource selection/allocation and scheduling are common decisions that researchers combine with balancing models.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
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
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
Kai Meng, Qiuhua Tang, Zikai Zhang, Zixiang Li
Summary: This study designs a robust mathematical model for solving robust mixed-model assembly line balancing and sequencing problems (RMALBSP) considering preventive maintenance scenarios (PMS), and develops a multi-objective cooperative differential evolution algorithm (MOCDE) to solve large-scale instances. The experimental results demonstrate the effectiveness of the proposed model and algorithm.
SWARM AND EVOLUTIONARY COMPUTATION
(2023)
Article
Multidisciplinary Sciences
Guibin Sun, Rui Zhou, Zhao Ma, Yongqi Li, Roderich Gross, Zhang Chen, Shiyu Zhao
Summary: This paper proposes a strategy for shape assembly of robot swarms based on the idea of mean-shift exploration. The strategy allows robot swarms to assemble complex shapes with strong adaptability, and it has been proven to be efficient especially for large-scale swarms.
NATURE COMMUNICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Zikai Zhang, Qiuhua Tang, Manuel Chica
Summary: This study addresses the mixed-model multi-manned assembly line balancing under uncertain demand conditions, optimizing the line configuration using a robust MILP model and solution generation mechanisms. Two solution generation mechanisms are designed, with the GEP method effectively improving solution efficiency.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Industrial
Xuemei Liu, Xiaolang Yang, Mingliang Lei
Summary: This study utilized uncertainty theory and complexity theory to consider uncertain demand in mixed-model assembly line balancing. By introducing scenario probability and triangular fuzzy number to describe uncertain demand, and measuring station complexity based on information entropy and fuzzy entropy, a new optimization model was established. An improved genetic algorithm was applied to solve the model, and the effectiveness of the model was verified on instances of mixed-model assembly line for automobile engines.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Robotics
Hyungjoon Yang, Je-Hun Lee, Sang Hyun Lee, Seung Gi Lee, Hyung Rok Kim, Hyun-Jung Kim
Summary: The task assignment and worker balancing problem in assembly lines is crucial for maximizing productivity. This study focuses on a real automotive parts assembly line where multiple workers perform various tasks simultaneously in a workstation, with each worker's processing time varying. New positional constraints are introduced to ensure each worker's working space. The goal is to minimize cycle time, and a filtered beam search algorithm is proposed to efficiently solve large-scale instances.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
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
Engineering, Industrial
Dian Huang, Zhaofang Mao, Kan Fang, Biao Yuan
Summary: The study addresses a mixed-model two-sided assembly line balancing problem, aiming to minimize the number of mated-stations while also considering the total number of operators. An exact algorithm based on combinatorial Benders decomposition is proposed, along with a sequence-based enumerative search method to calculate effective combinatorial Benders cuts. Extensive computational experiments demonstrate the efficiency of the proposed solution in finding exact solutions even for large-sized instances.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Tobias Moench, Arnd Huchzermeier, Peter Bebersdorf
Summary: In today's fast-paced, high customization-demanding era, adopting a highly flexible assembly line can give companies a competitive edge. By aligning the assembly pace with the desired level of output, the optimal takt time can be determined to reduce the complexity of the mixed-model assembly line balancing problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Mathematics, Applied
Yuchen Li, Dan Liu, Ibrahim Kucukkoc
Summary: This paper studies the mixed-model assembly line balancing problem, considering the impact of learning effect and uncertain demand on the level of production. A novel model is proposed to optimize the total expected cost and average cycle time, and two algorithms are proposed to solve the model under different system response time requirements.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2023)
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
Engineering, Industrial
Nicolas P. Campana, Manuel Iori, Mayron Cesar O. Moreira
Summary: This study proposes new algorithms for the assembly line balancing problem with hierarchical worker assignment, aiming to minimize total cost while satisfying cycle time and precedence constraints. The effectiveness of the algorithms is demonstrated through extensive computational experiments on benchmark instances.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Kang Wang, Qianqian Han, Zhenping Li
Summary: This research investigates the mixed-model assembly line balancing problem in multi-demand scenarios and proposes a solution through a phased heuristic algorithm. The results show that considering demand fluctuations can improve workstation load balance and assembly line production efficiency.
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
(2023)
Article
Engineering, Multidisciplinary
Parvaneh Samouei, Parviz Fattahi, Jalal Ashayeri, Sepehr Ghazinoory
APPLIED MATHEMATICAL MODELLING
(2016)
Article
Operations Research & Management Science
Parvaneh Samouei, Amir Saman Kheirkhah, Parviz Fattahi
ANNALS OF OPERATIONS RESEARCH
(2015)
Article
Automation & Control Systems
Sepehr Ghazinoory, Parviz Fattahi, Parvaneh Samouei
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2013)
Review
Engineering, Industrial
Arash Azadegan, Lejla Porobic, Sepehr Ghazinoory, Parvaneh Samouei, Amir Saman Kheirkhah
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2011)
Article
Green & Sustainable Science & Technology
Shima Zargary, Parvaneh Samouei
Summary: The production-routing-inventory problem is a combination of three classic issues - routing, inventory, and lot sizing. This study presents a bi-objective mixed-integer linear model to address this problem in the context of the integrity of the supply chain. The results demonstrate that the simulated annealing and bee colony algorithms are effective in solving large-sized problems.
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2022)
Article
Operations Research & Management Science
Parvaneh Samouei, Mahsa Sobhishoja
Summary: This research focuses on line balancing in U-shaped assembly lines, and presents robust optimization models considering uncertainty. A multi-objective harmony search algorithm is used to solve the problem.
Article
Engineering, Industrial
Maryam Shoaee, Parvaneh Samouei
Summary: Optimizing warehouse design is crucial for companies to improve efficiency and productivity. Cross-docking warehouses have become popular due to their ability to minimize travel distances, reduce free space, and satisfy retailers. NSGA-II algorithm is more efficient than MOGWO algorithm in solving cross-docking warehouse design problems.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Parvaneh Samouei, Hamid Reza Dezfoulian
COMPUTERS & INDUSTRIAL ENGINEERING
(2017)
Article
Engineering, Multidisciplinary
P. Fattahi, P. Samouei, M. Zandieh
INTERNATIONAL JOURNAL OF ENGINEERING
(2016)
Article
Engineering, Multidisciplinary
A. A. Aganin, A. I. Davletshin
Summary: A mathematical model of interaction of weakly non-spherical gas bubbles in liquid is proposed in this paper. The model equations are more accurate and compact compared to existing analogs. Five problems are considered for validation, and the results show good agreement with experimental data and numerical solutions. The model is also used to analyze the behavior of bubbles in different clusters, providing meaningful insights.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Hao Wu, Jie Sun, Wen Peng, Lei Jin, Dianhua Zhang
Summary: This study establishes an analytical model for the coupling of temperature, deformation, and residual stress to explore the mechanism of residual stress formation in hot-rolled strip and how to control it. The accuracy of the model is verified by comparing it with a finite element model, and a method to calculate the critical exit crown ratio to maintain strip flatness is proposed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Shengwen Tu, Naoki Morita, Tsutomu Fukui, Kazuki Shibanuma
Summary: This study aimed to extend the finite element method to cope with elastic-plastic problems by introducing the s-version FEM. The s-version FEM, which overlays a set of local mesh with fine element size on the conventional FE mesh, simplifies domain discretisation and provides accurate numerical predictions. Previous applications of the s-version FEM were limited to elastic problems, lacking instructions for stress update in plasticity. This study presents detailed instructions and formulations for addressing plasticity problems with the s-version FEM and analyzes a stress concentration problem with linear/nonlinear material properties.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bo Fan, Zhongmin Wang
Summary: A 3D rotating hyperelastic composite REF model was proposed to analyze the influence of tread structure and rotating angular speed on the vibration characteristics of radial tire. Nonlinear dynamic differential equations and modal equations were established to study the effects of internal pressure, tread pressure sharing ratio, belt structure, and rotating angular speed on the vibration characteristics.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
X. W. Chen, Z. Q. Yue, Wendal Victor Yue
Summary: This paper examines the axisymmetric problem of a flat mixed-mode annular crack near and parallel to an arbitrarily graded interface in functionally graded materials (FGMs). The crack is modeled as plane circular dislocation loop and an efficient solution for dislocation in FGMs is used to calculate the stress field at the crack plane. The analytical solutions of the stress intensity factors are obtained and numerical study is conducted to investigate the fracture mechanics of annular crack in FGMs.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xumin Guo, Jianfei Gu, Hui Li, Kaihua Sun, Xin Wang, Bingjie Zhang, Rangwei Zhang, Dongwu Gao, Junzhe Lin, Bo Wang, Zhong Luo, Wei Sun, Hui Ma
Summary: In this study, a novel approach combining the transfer matrix method and lumped parameter method is proposed to analyze the vibration response of aero-engine pipelines under base harmonic and random excitations. The characteristics of the pipelines are investigated through simulation and experiments, validating the effectiveness of the proposed method.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xiangyu Sha, Aizhong Lu, Ning Zhang
Summary: This paper investigates the stress and displacement of a layered soil with a fractional-order viscoelastic model under time-varying loads. The correctness of the solutions is validated using numerical methods and comparison with existing literature. The research findings are of significant importance for exploring soil behavior and its engineering applications under time-varying loads.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Thuy Dong Dang, Thi Kieu My Do, Minh Duc Vu, Ngoc Ly Le, Tho Hung Vu, Hoai Nam Vu
Summary: This paper investigates the nonlinear torsional buckling of corrugated core sandwich toroidal shell segments with functionally graded graphene-reinforced composite (FG-GRC) laminated coatings in temperature change using the Ritz energy method. The results show the significant beneficial effects of FG-GRC laminated coatings and corrugated core on the nonlinear buckling responses of structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Zhihao Zhai, Chengbiao Cai, Qinglai Zhang, Shengyang Zhu
Summary: This paper investigates the effect of localized cracks induced by environmental factors on the dynamic performance and service life of ballastless track in high-speed railways. A mathematical approach for forced vibrations of Mindlin plates with a side crack is derived and implemented into a train-track coupled dynamic system. The accuracy of this approach is verified by comparing with simulation and experimental results, and the dynamic behavior of the side crack under different conditions is analyzed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
James Vidler, Andrei Kotousov, Ching-Tai Ng
Summary: The far-field methodology, developed by J.C. Maxwell, is utilized to estimate the effective third order elastic constants of composite media containing random distribution of spherical particles. The results agree with previous studies and can be applied to homogenization problems in other fields.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Kim Q. Tran, Tien-Dat Hoang, Jaehong Lee, H. Nguyen-Xuan
Summary: This study presents novel frameworks for graphene platelets reinforced functionally graded triply periodic minimal surface (GPLR-FG-TPMS) plates and investigates their performance through static and free vibration analyses. The results show that the mass density framework has potential for comparing different porous cores and provides a low weight and high stiffness-to-weight ratio. Primitive plates exhibit superior performance among thick plates.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bence Hauck, Andras Szekrenyes
Summary: This study explores several methods for computing the J-integral in laminated composite plate structures with delamination. It introduces two special types of plate finite elements and a numerical algorithm. The study presents compact formulations for calculating the J-integral and applies matrix multiplication to take advantage of plate transition elements. The models and algorithms are applied to case studies and compared with analytical and previously used finite element solutions.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Wu Ce Xing, Jiaxing Wang, Yan Qing Wang
Summary: This paper proposes an effective mathematical model for bolted flange joints to study their vibration characteristics. By modeling the flange and bolted joints, governing equations are derived. Experimental studies confirm that the model can accurately predict the vibration characteristics of multiple-plate structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Pingchao Yu, Li Hou, Ke Jiang, Zihan Jiang, Xuanjun Tao
Summary: This paper investigates the imbalance problem in rotating machinery and finds that mass imbalance can induce lateral-torsional coupling vibration. By developing a model and conducting detailed analysis, it is discovered that mass imbalance leads to nonlinear time-varying characteristics and there is no steady-state torsional vibration in small unbalanced rotors. Under largely unbalanced conditions, both resonant and unstable behavior can be observed, and increasing lateral damping can suppress instability and reduce lateral amplitude in the resonance region.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Yong Cao, Ziwen Guo, Yilin Qu
Summary: This paper investigates the mechanically induced electric potential and charge redistribution in a piezoelectric semiconductor cylindrical shell. The results show that doping levels can affect the electric potentials and mechanical displacements, and alter the peak position of the zeroth-order electric potential. The doping level also has an inhibiting effect on the first natural frequency. These findings are crucial for optimizing the design and performance of cylindrical shell-shaped sensors and energy harvesters.
APPLIED MATHEMATICAL MODELLING
(2024)