Article
Computer Science, Interdisciplinary Applications
Binghai Zhou, Mingda Wen
Summary: This paper proposes a dynamic scheduling problem for automotive assembly lines considering material-handling mistakes. A multi-phase dynamic scheduling algorithm is proposed to optimize the material distribution scheduling problem. Through comparative experiments, the superiority of the proposed dynamic scheduling strategy and algorithm is verified.
ENGINEERING COMPUTATIONS
(2023)
Article
Engineering, Manufacturing
Yilmaz Delice, Emel Kizilkaya Aydogan, Salih Himmetoglu, Ugur Ozcan
Summary: In the automotive industry, supermarkets are decentralized in-house logistic areas used for parts feeding to mixed-model assembly lines. This study simultaneously considers the mixed-model assembly line balancing problem and supermarket location problem in order to minimize the total costs. A mathematical model is developed and solved using constraint programming, and an approach based on Ant Colony Optimization and Simulated Annealing is presented for large-sized problems. The proposed approach effectively reduces total costs and achieves a more realistic and applicable structure.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2023)
Article
Management
Ebenezer Olatunde Adenipekun, Veronique Limere, Nico Andre Schmid
Summary: In the era of mass customisation, supplying parts to mixed-model assembly lines is a complex task. The supply must avoid excessive logistical handling activities while managing line space carefully to prevent shortages that could lead to line stoppage. By using a mixed integer programming model to assign parts and vehicle types simultaneously, total feeding costs can be minimized.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Engineering, Industrial
Binghai Zhou, Zhaoxu He
Summary: This paper focuses on a sustainable material handling scheduling problem in the automobile industry, and proposes a novel Hybrid-load Automated Guided Vehicle (H-AGV) to minimize inventory and energy consumption. A Deep Q network and Non-dominated sorting-based Hyper-Heuristic (DN-HH) algorithm is used to solve the bi-objective scheduling problem and outperforms other algorithms.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Francesco Zangaro, Stefan Minner, Daria Battini
Summary: This paper investigates the Joint Assembly Line Balancing and Feeding Problem (JALBFP) and proposes a heuristic approach and mathematical model to solve it for multi-manned assembly lines. Through numerical studies, the effectiveness of the heuristic approach is validated, and it is found that the JALBFP method can significantly reduce the overall cost compared to the sequential approach.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Automation & Control Systems
Hui Zhang, Xiyang Li, Za Kan, Xiaohai Zhang, Zhiyong Li
Summary: This paper proposed a method combining improved genetic algorithm (GA) and Flexsim software to reduce production auxiliary time and improve the efficiency of existing mixed-flow assembly line. By establishing a multi-objective mathematical model and developing a solution model using multi-objective GA, the method effectively reduced idle and overload of the assembly line while rationalizing transportation resources and decreasing line inventory accumulation. The originality lies in the first intuitive and efficient use of the combination of improved GA and Flexsim software to study production line balance and just-in-time feeding of parts.
ASSEMBLY AUTOMATION
(2021)
Article
Engineering, Manufacturing
Xiaokai Mu, Bo Yuan, Yunlong Wang, Wei Sun, Chong Liu, Qingchao Sun
Summary: This study primarily focuses on optimizing the assembly error of machine parts, by establishing an assembly error optimization model that combines small displacement torsor and tolerance, to reduce the costs of manufacturing and assembly processes and improve parts processing efficiency.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2022)
Article
Polymer Science
Saeid Saeidi Aminabadi, Paul Tabatabai, Alexander Steiner, Dieter Paul Gruber, Walter Friesenbichler, Christoph Habersohn, Gerald Berger-Weber
Summary: Automatic in-line process quality control is crucial in the injection molding industry. This study presents a fully automated closed-loop injection molding setup based on Industry 4.0 standards, with AI control system and predictive models to control part quality.
Article
Chemistry, Multidisciplinary
Yaniel Torres, Sylvie Nadeau, Kurt Landau
Summary: This study utilized SHERPA and HEART techniques to analyze human reliability in manual assembly operations, identifying error modes and probabilities in critical tasks. The research indicated that perceptually engaging assembly instructions and improving the inspection process have the potential to reduce assembly errors and enhance worker performance.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Xiaokai Mu, Yunlong Wang, Bo Yuan, Wei Sun, Chong Liu, Qingchao Sun
Summary: This study investigates the construction method of assembly precision prediction models considering manufacturing errors and deformation factors of parts, providing prediction results closer to actual conditions, and having significant application value for improving the assembly quality and performance of aeroengines.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Lue Tao, Yun Dong, Weihua Chen, Yang Yang, Lijie Su, Qingxin Guo, Gongshu Wang
Summary: This study addresses a new variant of the assembly line feeding problem in automobile manufacturing, proposing a novel mathematical model and algorithm that achieve superior cost savings, solution quality, and convergence efficiency while providing decision support for managers.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Mathematical & Computational Biology
Taniya Mukherjee, Isha Sangal, Biswajit Sarkar, Qais Ahmed Almaamari
Summary: This paper proposes a linear programming model based on door-to-storage assignment to optimize the material handling cost within a cross-dock. The result shows that the cost can be minimized or savings can be intensified based on the feasibility of the research problem.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Article
Management
Nico Andre Schmid, Veronique Limere, Birger Raa
Summary: This study proposes a new mathematical programming model to address the issue of feeding parts in assembly systems, investigating the selection of feeding policies and space allocation at assembly stations. Key findings include the factors influencing these decisions and overall costs.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Rui Wang, Xiangyu Guo, Songmo Li
Summary: An automatic assembly system was developed to improve the assembly quality and efficiency of screw assemblies of radar. The system obtained the position and attitude relationships among the workpiece, camera, and manipulator coordinate systems using three-point location and nine-point calibration methods. A visual servoing strategy was designed to guide the manipulator for high-precision positioning of threaded holes. An evaluation method for assembly quality was developed based on angle-torque curves and templates.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Industrial
Franz Dietrich, Alexander Mueller
Summary: Soft material grippers, although adaptable to workpieces, have low payload capacity, limiting their industrial applicability. This paper investigates the upscaling of such grippers to handle heavy payloads and assembly. Evaluation of applicability is done through pull-off studies, using structural FEM simulations and experiments. The results demonstrate the desired applicability, major effects to consider in upscaled and dedicated designs, and the feasibility of automated gripping process engineering based on trustworthy simulations.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)