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Journal articles on the topic 'Production line optimization'

Author: Grafiati

Published: 29 June 2021

Last updated: 18 February 2022

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1

Pettersson, Jens, Ulf Persson, Thomas Lindberg, Lars Ledung, and Xiaojing Zhang. "ON-LINE PULP MILL PRODUCTION OPTIMIZATION." IFAC Proceedings Volumes 38, no. 1 (2005): 443–48. http://dx.doi.org/10.3182/20050703-6-cz-1902.01648.

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2

Spinellis, D., C. Papadopoulos, and J. MaCgregor Smith. "Large production line optimization using simulated annealing." International Journal of Production Research 38, no. 3 (February 2000): 509–41. http://dx.doi.org/10.1080/002075400189284.

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3

Spinellis, Diomidis D., and Chrissoleon T. Papadopoulos. "Modular production line optimization: The exPLORE architecture." Mathematical Problems in Engineering 6, no. 6 (2001): 527–41. http://dx.doi.org/10.1155/s1024123x00001460.

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4

Cui, Huirong, and Yinong Yan. "The optimization design of uniform’s hanging production line." International Journal of Clothing Science and Technology 27, no. 3 (June 1, 2015): 370–89. http://dx.doi.org/10.1108/ijcst-11-2013-0121.

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Purpose – Garment manufacturing is a traditional industry with global competition. The most critical part is streamline, as it generally involves a great number of operations. The purpose of this paper is to, based on the model of group technology (GT), sum up the methods of assembly line optimization to optimize the streamline, so that the machines of the workstation can perform the assigned tasks with a balanced loading. Design/methodology/approach – In this paper, the methods of obtaining and optimizing data includes literature, research and optimization methods of basing on GT model. The main direction of literature has two aspects: Lean production theory and streamline assignment. Research mainly concludes three aspects: research place, research object and the research content. The method of time determination is averaging the testing values of repeated measurements. Optimization methods of basing on GT model mainly include combination of the same type of technologic processes in sequence, combination of independent branch process, the combination of mainstream and branch processes and offside combination of the same type of processes. Findings – After optimization, in the utilization rate of equipment: hanging system ratio was increased from 22.95 to 62.12 percent, which greatly improved the utilization rate of enterprise equipment. In equipment layout: hanging equipment layout was turned linear type into “U” type, which realized the synchronization of production. GT model will be well applied in the garment production streamline. Compared with other enterprises, A company has large garment hanging system, which reflects the advanced, comprehensive, representative. Therefore, the paper applied optimization methods to trousers, production efficiency has been improved greatly, the utilization rate of equipment is promoted and reworking phenomenon is reduced greatly. Research limitations/implications – Through the optimization of the production process and equipment layout, the A company’s compiling efficiency has been greatly improved, but how can the system become computerized, accurately and intelligence, which has been an important direction of research now. Practical implications – By optimizing, it is fully proved that applying GT to the streamline optimization is feasible. GT is an important branch of Lean production, summing up the optimization methods basing on the GT model to optimize the streamline not only enriches the relevant theory research, but also provides a theoretical basis for the practical production. GT model not only can be used in the shirt production process, as for other production processes, for example, trousers, skirts can also be widely applied, which realizes the theory application in the practical production. Originality/value – The originality of this paper is that through the analysis of the model of GT, the paper sums up the methods of assembly line optimization to optimize the streamline. Although the model of GT is used widely in electronics, automobile and industry, it is relatively weak in the optimization of garment production line, there are not many literatures on practical application of group technology in the clothing. Besides, the paper is applied to practical production, which not only can improve production efficiency, but also make the theoretical research have basis and combine the theory and practical production.

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Richelle, Anne, and Philippe Bogaerts. "Off-line optimization of baker׳s yeast production process." Chemical Engineering Science 119 (November 2014): 40–52. http://dx.doi.org/10.1016/j.ces.2014.07.059.

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Jarosz, Piotr, Jan Kusiak, Stanisław Małecki, Paweł Morkisz, Piotr Oprocha, Wojciech Pietrucha, and Łukasz Sztangret. "An attempt of optimization of zinc production line." Archives of Civil and Mechanical Engineering 18, no. 4 (September 2018): 1116–22. http://dx.doi.org/10.1016/j.acme.2018.02.011.

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7

Wang, Li Li, Yu Jie Liu, and Tong Tong Xie. "A Simulation and Optimization Study of Assemble Production Line." Advanced Materials Research 1006-1007 (August 2014): 427–31. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.427.

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As to the BSP model assembly line balancing problem, an integration to random distribution about the field data in statistical software of SPSS, is made in the paper with software of eM-Plant, a model and simulate to the production line is built to discover the bottleneck of the production line and the unbalance problem of line fast and accurately. The optimization design and simulation analysis and evaluation can be achieved to optimization goal and shorten the optimization time.

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8

Wang, Shuqiang, Jia Tang, Yiquan Zou, and Qihui Zhou. "Research on production process optimization of precast concrete component factory based on value stream mapping." Engineering, Construction and Architectural Management 27, no. 4 (November 4, 2019): 850–71. http://dx.doi.org/10.1108/ecam-10-2018-0455.

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Purpose The purpose of this paper is to investigate the process optimization of a precast concrete component production line by using value stream mapping. Design/methodology/approach This paper is an empirical focused on of lean production theory and value stream mapping. The data in the case study were collected in real time on-site for each process during the production process of a prefabricated exterior wall. Findings The results of the current value stream map indicate that the main problems of the current production process are related to equipment, technology and organization. The equipment problems include simple demolding and cleaning tools and the lack of professional transfer channels. The technology problems include the lack of a marking mechanism and pipeline exit mechanism. There is a lack of standard operating procedures and incomplete process convergence. A comparison and analysis of the current value stream and the future value flow indicate that optimizations of the process flow, the production line layout, and the standard operating procedures have shortened the delivery cycle, reduced the number of workers, improved the operator’s operating level and balanced the production line. Practical implications The results of this study provide practitioners with a clear understanding of the optimization of the precast concrete component production and represent a method and basis for the process optimization of a factory production line; the approach is suitable for process optimization in other areas. Originality/value This research represents an innovative application of lean production theory and value stream mapping in a complex production line of precast concrete components and thereby fills the gap between the theory and practice of the optimization of a precast concrete component production line.

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9

Yi, Jian Gang. "Analysis and Optimization of Production Line Balance Based on ECRSI." Advanced Materials Research 912-914 (April 2014): 1588–91. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1588.

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The optimization of production line process from the aspect of enterprise production line balance is studied in this paper. By using the ECRSI method, the production process is analyzed, and the optimization scheme is put forward. Through the comparison of the process time before and after optimization, the effectiveness of the optimization solution is verified. The proposed approach solves the bottleneck problem of production line, improves the production capacity of enterprises, overcomes the defects of the original work process, provides the basis for the formulation of new production line work standards, and has widely application value.

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10

Longo, Claudio Santo, and Cesare Fantuzzi. "Simulation and optimization of industrial production lines." at - Automatisierungstechnik 66, no. 4 (April 25, 2018): 320–30. http://dx.doi.org/10.1515/auto-2017-0126.

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Abstract Simulation and optimization techniques are the pillars of for the Virtual Commissioning of modern digital factories. In particular, industrial production lines are complex systems formed by a set of machines that have several cross-dependencies (i. e., the production efficiency of a machine impact deeply performance figures of the others and affects the whole line productivity). The simulation and optimization of production lines is an integrated approach that allows finding efficiently optimized production parameters. This paper presents an example of application of the simulation to the virtual design and optimization of an industrial production line.

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11

APAK, Sinan, and Sami ERCAN. "Simulation Based Optimization for World Line Card Production System." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 2, no. 2 (May 28, 2012): 95–104. http://dx.doi.org/10.11121/ijocta.01.2012.00107.

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Simulation based decision support system is one of the commonly used tool to examine complex production systems. The simulation approach provides process modules which can be adjusted with certain parameters by using data relatively easily obtainable in production process. World Line Card production system simulation is developed to evaluate the optimality of existing production line via using discrete event simulation model with variaty of alternative proposals. The current production system is analysed by a simulation model emphasizing the bottlenecks and the poorly utilized production line. Our analysis identified some improvements and efficient solutions for the existing system.

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12

Ma, Xiang Fei, Di Liang, Yu Cheng Pan, and Hua Dong Wang. "A Rapid Simulation and Optimization Study of Production Line." Applied Mechanics and Materials 397-400 (September 2013): 12–15. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.12.

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Based on intermittent production line balance problem, Minitab statistical tool is used for data random distribution fitting in this paper and the car body production line model of one company is established and simulated under Flexsim environment, which benefits the line imbalance problem to be found quickly and accurately. Designing optimal program based on project management network analysis and making simulation and evaluation, the productivity is improved effectively and the time to balance and optimize production line is shortened greatly.

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13

Ohno, Katsuhisa, and Koichi Nakade. "ANALYSIS AND OPTIMIZATION OF A U-SHAPED PRODUCTION LINE." Journal of the Operations Research Society of Japan 40, no. 1 (1997): 90–104. http://dx.doi.org/10.15807/jorsj.40.90.

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14

Wątróbski, Jarosław, Artur Karczmarczyk, and Szymon Rymaszewski. "Multi-criteria decision making approach to production line optimization." Procedia Computer Science 176 (2020): 3820–30. http://dx.doi.org/10.1016/j.procs.2020.09.005.

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15

Antoniolli, I., P. Guariente, T. Pereira, L. Pinto Ferreira, and F. J. G. Silva. "Standardization and optimization of an automotive components production line." Procedia Manufacturing 13 (2017): 1120–27. http://dx.doi.org/10.1016/j.promfg.2017.09.173.

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16

Heller, W., H. Kupsch, and J. W. Leonhardt. "Optimization of a Production Line of Porous (Aerated) Concrete." Isotopenpraxis Isotopes in Environmental and Health Studies 25, no. 4 (January 1989): 166–68. http://dx.doi.org/10.1080/10256018908624086.

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17

zene, Y. Oua, H. Chehade, and A. yalaoui. "New restricted enumeration method for production line design optimization." IFAC Proceedings Volumes 45, no. 6 (May 2012): 1347–52. http://dx.doi.org/10.3182/20120523-3-ro-2023.00200.

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18

Fan, Wei, Lei Yang, Xin Chen, and Lizhen Jing. "Production line optimization based on Man-Machine collaborative improvement." Journal of Physics: Conference Series 1948, no. 1 (June 1, 2021): 012177. http://dx.doi.org/10.1088/1742-6596/1948/1/012177.

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19

Jia, Chen Hui, Shu Tao Zhang, and Xin Tao Xia. "Planning and Optimizing of Assembly Production Line Based on Simulation." Advanced Materials Research 154-155 (October 2010): 1059–63. http://dx.doi.org/10.4028/www.scientific.net/amr.154-155.1059.

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Based on optimization theory, computer simulation and Virtual Manufacturing, the framework modeling of Virtual Assembly Production Line planning was built in order to solve its complex optimization. By planning static assembly production line, the static optimization solution can be obtained. Then, dynamic simulation planning of production line was put up in order to analyze and evaluate the capability of production line. Thereby, assembly planning can be improved and optimized more.

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20

Yang, Zimin, Qing Chang, Dragan Djurdjanovic, Jun Ni, and Jay Lee. "Maintenance Priority Assignment Utilizing On-line Production Information." Journal of Manufacturing Science and Engineering 129, no. 2 (March 24, 2006): 435–46. http://dx.doi.org/10.1115/1.2336257.

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Maintenance management has a direct influence on production performance. Existing works have not systematically taken the on-line production information into consideration in determining maintenance work-order priority, which is often assigned either through an ad hoc approach or using largely heuristic and static methods. In this paper, we first present a metric that can be used to quantitatively evaluate the effects of different maintenance priorities. Based on this index, one can employ a search algorithm to obtain maintenance work-order priorities that will lead to improved productivity within the optimization horizon. These concepts and methods are validated through simulation experiments and implementation in a real industrial facility. The results show that the effective utilization of on-line production data in dynamic maintenance scheduling can yield visible production benefit through maintenance priority optimization.

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21

Sujová, Erika, and Helena Čierna. "Optimization and Improvement of Test Processes on a Production Line." Management Systems in Production Engineering 26, no. 2 (June 1, 2018): 88–92. http://dx.doi.org/10.2478/mspe-2018-0014.

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Abstract The paper deals with increasing processes efficiency at a production line of cylinder heads of engines in a production company operating in the automotive industry. The goal is to achieve improvement and optimization of test processes on a production line. It analyzes options for improving capacity, availability and productivity of processes of an output test by using modern technology available on the market. We have focused on analysis of operation times before and after optimization of test processes at specific production sections. By analyzing measured results we have determined differences in time before and after improvement of the process. We have determined a coefficient of efficiency OEE and by comparing outputs we have confirmed real improvement of the process of the output test of cylinder heads.

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22

Mortaheb, H. R., M. Mafi, B. Mokhtarani, K. Khosravi, and F. Mashkini. "Optimization of NMP extraction in 1, 3-butadiene production line." Eclética Química 35, no. 1 (2010): 85–89. http://dx.doi.org/10.1590/s0100-46702010000100010.

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23

Mortaheb, H. R., M. Mafi, B. Mokhtarani, K. Khosravi, and F. Mashkini. "Optimization of NMP Extraction in 1, 3-Butadiene Production Line." Eclética Química Journal 35, no. 1 (January 15, 2018): 85. http://dx.doi.org/10.26850/1678-4618eqj.v35.1.2010.p85-89.

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N-methylpyrrolidone is a powerful solvent for variety of chemical processes due to its vast chemical properties. It has been used in manufacturing processes of polymers, detergents, pharmaceuticals rubber and many more chemical substances. However, it creates large amount of residue in some of these processes which has to be dealt with. Many well known methods such as BASF in rubber producing units have tried to regenerate the solvent at the end of each run, however, there is still discarding of large amount of residue containing NMP, which over time, could cause environmental concerns. In this study, we have tried to optimize regeneration of the NMP extraction from butadiene production. It is shown that at higher temperatures NMP is separated from the residue with close to 90% efficiency, and the solvent residue proved to be the most effective with a 6: 1 ratio.

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24

Hecker, F., W. Hussein, and T. Becker. "Analysis and optimization of a bakery production line using ARENA." International Journal of Simulation Modelling 9, no. 4 (December 15, 2010): 208–16. http://dx.doi.org/10.2507/ijsimm09(4)4.175.

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25

Liu, Jian Feng. "Optimization Simulation of Hybrid Assembly Production Sequencing Management." Advanced Materials Research 850-851 (December 2013): 1008–11. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.1008.

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Sequencing of hybrid assembly production directly affects the balancecontinuity and punctuality of production process. First, the mathematical models with MILP of hybrid assembly production are established, and then the sets of sequencing scheme of minimum makespan which meet customers demands are obtained. Furthermore workshop simulation models with Flexsim software are established. In this paper, the painting hybrid assembly production line of some automobile engine manufacturing plant was employed to analyze the sequencing as an example, and the obtained painting production line sequencing scheme is consistent with the actual production of enterprises and it improves production capacity.

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26

Renna, Paolo, and Michele Ambrico. "Special Issue “Design and Optimization of Production Lines”." Applied Sciences 10, no. 22 (November 23, 2020): 8302. http://dx.doi.org/10.3390/app10228302.

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27

Adeodu, Adefemi, Mukondeleli Grace Kanakana-Katumba, and Maladzhi Rendani. "Implementation of Lean Six Sigma for production process optimization in a paper production company." Journal of Industrial Engineering and Management 14, no. 3 (July 26, 2021): 661. http://dx.doi.org/10.3926/jiem.3479.

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Purpose: This study aimed at implementing lean six sigma to evaluate the productivity and manufacturing waste in the production line of a paper companyMethodology/Approach: The study is a case study in nature. The method illustrates how lean six sigma (LSS) is used to evaluate the existing production process in a paper production company with focus on productivity and manufacturing waste. The study considered a real-time problem of customer’s dissatisfaction. The gathered data is based on machine functionality (up time, down time and cycle time); materials and labour flow at every process stages of the production line. The optimization of the production process was based on lean tools like value stream mapping, process cycle efficiency, Kaizen, 5S and pareto chartFindings: Based on lean six sigma application, it was discovered that the present production performance was below standard and more manufacturing wastes were generated. The present productivity and manufacturing wastes are reported as low process cycle efficiency (23.4 %), low takt time (4.11 sec), high lead time (43200sec), high number of products not conforming to six sigma values, high down time (32.64 %) and excess labour flow (33). After the implementation of the lean six sigma tools for certain period of time, there are lots of improvements in the production line in terms of all the parameters considered.Research Limitation/ Implications: The study has demonstrated an application of lean six sigma in the case of solving real-time problems of productivity and manufacturing wastes which have a direct implication on customer’s satisfaction. The lesson learned and implications presented can still be further modeled using some lean based software for validityOriginality/Value: The study has contributed to the body of knowledge in the field of LSS with focus to process based manufacturing, unlike most literature in the field concentrate more on discrete based manufacturing.

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28

Huang, Yin Di, Rong Hua Bian, and Zhen Xu. "Sequencing Mixed Model Assembly Lines Based on Genetic Algorithm Optimization." Advanced Materials Research 279 (July 2011): 412–17. http://dx.doi.org/10.4028/www.scientific.net/amr.279.412.

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Firstly, genetic algorithm optimization method was put forward to solve optimization problems of sequencing in actual mixed model passenger car factory assembly line. Then genetic algorithm optimization methods and procedures of mixed model total assembly line production sequencing were studied. Finally, according to the characteristics of the mixed production line, the least total waiting time of vehicle was set to complete assembly as a sequencing optimization objective, the AutoMod simulation software was used to balance the allocation of resources and optimize the sequence by way of genetic algorithm, and the optimal sequencing solution was obtained. After optimization and balance, the total waiting time of mixed model vehicles in complete assembly line was reduced by 69.5%, which improves production efficiency greatly. This also proves the effectiveness of genetic algorithm optimization.

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29

Tahriri, Farzad, Siti Zawiah Md Dawal, and Zahari Taha. "Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model." Journal of Applied Mathematics 2014 (2014): 1–19. http://dx.doi.org/10.1155/2014/179085.

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It can be deduced from previous studies that there exists a research gap in assembly line sequencing optimization model for mixed-model production lines. In particular, there is a lack of studies which focus on the integration between job shop and assembly lines using fuzzy techniques. Hence, this paper is aimed at addressing the multiobjective mixed-model assembly line sequencing problem by integrating job shop and assembly production lines for factories with modular layouts. The primary goal is to minimize the make-span, setup time, and cost simultaneously in mixed-model assembly lines. Such conflicting goals arise when switching between different products. A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data.

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30

Mourtzis, Dimitris, Dimitris Tsakalos, Fotini Xanthi, and Vasilios Zogopoulos. "Optimization of highly automated production line: An advanced engineering educational approach." Procedia Manufacturing 31 (2019): 45–51. http://dx.doi.org/10.1016/j.promfg.2019.03.008.

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31

Lan, Chun-Hsiung, Miao-Sheng Chen, and Chien Yu. "The control of a serial-capacitated production line for cost optimization." Journal of Interdisciplinary Mathematics 7, no. 3 (January 2004): 261–78. http://dx.doi.org/10.1080/09720502.2004.10700373.

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32

Sheikhalishahi, M., A. Azadeh, L. Pintelon, P. Chemweno, and S. F. Ghaderi. "Maintenance Scheduling Optimization in a Multiple Production Line Considering Human Error." Human Factors and Ergonomics in Manufacturing & Service Industries 26, no. 6 (August 8, 2016): 655–66. http://dx.doi.org/10.1002/hfm.20405.

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33

MAK, K. L., and W. C. PONG. "Optimization models for flow-line production systems with in-process inventory." International Journal of Systems Science 17, no. 2 (February 1986): 387–99. http://dx.doi.org/10.1080/00207728608926814.

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34

Wu, Hongmai, Jing Sun, Hui Wang, Chumeng Lv, Rong Li, Xin Shi, and Jian Ding. "Optimization Study on Production Line Balancing Based on Logistics Resources System." Journal of Applied Sciences 13, no. 21 (October 15, 2013): 4660–65. http://dx.doi.org/10.3923/jas.2013.4660.4665.

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35

Jimenez, Marco A., Susana V. Gutierrez, Giovanni Lizarraga, Mauricio A. Garza, David S. Gonzalez, Jorge L. Acevedo, Mario C. Osorio, and Roberto A. Rodríguez. "Automation and parameters optimization in production line: a case of study." International Journal of Advanced Manufacturing Technology 66, no. 9-12 (August 24, 2012): 1315–18. http://dx.doi.org/10.1007/s00170-012-4409-4.

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36

Wenjie, Lai. "Industrial Metabolism Analysis and Green Optimization of a Painting Production Line." E3S Web of Conferences 248 (2021): 02057. http://dx.doi.org/10.1051/e3sconf/202124802057.

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This article takes a coating production line as an example, uses industrial metabolism analysis method to quantitatively analyse its material metabolism process, and forms a material balance sheet to evaluate resource efficiency and environmental efficiency. The results show that the resource efficiency of the coating production line is 0.4%, and the environmental efficiency is 0.51%, indicating that there is a serious waste of resources and greater environmental pressure. The reason is the old spraying method, the use of highly volatile paints and cleaning agents, and the higher VOC content of the paint. In response to these problems, this article combines the input and output content of the production line and proposes several green optimization approaches from the perspectives of cleaner production, circular economy and ecological industrial parks.

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37

Yang, Ke. "Layout optimization of signal control box production line based on SLP." E3S Web of Conferences 253 (2021): 02090. http://dx.doi.org/10.1051/e3sconf/202125302090.

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Taking the production process of the signal control box as the research object, aiming at the problem of the unreasonable layout of the production line, the Systematic Layout Planning (SLP) method is used to obtain the relationship and position relationship diagrams between the various operation units, and the optimal layout plan is given, combined with the factory building Conditions and funding constraints, determined and implemented the production layout improvement plan, reduced the material handling distance, shortened the delivery cycle, and realized the rapid delivery of products.

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38

Azevedo Eleutério, Aline, Alexandra Priscilla Tregue Costa, David Barbosa de Alencar, and Antônio Estanislau Sanches. "MWO Line Optimization Applying Lean Manufacturing Methodology: PIM Case Study." International Journal for Innovation Education and Research 7, no. 11 (November 30, 2019): 776–87. http://dx.doi.org/10.31686/ijier.vol7.iss11.1932.

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With the increasing competitiveness in the market and the constant development of technologies, today companies are constantly improving, the managers' concern is to achieve maximum process productivity with minimum losses and waste, thus reducing the value to the maximum. aggregate to the product and taking considerable profit margins from sales, so it is of paramount importance to have a lean production process, with well-balanced production times, a minimal amount of work in process and especially a minimal amount of labor , which has very high costs that generates added value directly in the product. In this study was applied the methodology, observation, quantitative and deductive based on theoretical references in order to maximize the efficiency of the production process, through the use of some Lean methods and quality tools as a way of discourse for process improvement also applying process balancing with the primary purpose of reducing the amount of direct labor. Thus the present study presented satisfactory results increasing the efficiency of the microwave oven production line, with the reduction of a direct operator, bringing a leaner and more efficient process.

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Wan, Jian Ye, Xin Jiang, and Yun Peng Wang. "Research and Application of Genetic Algorithm in Material Handling Route for Assembly Line of Airbag." Advanced Materials Research 299-300 (July 2011): 1217–20. http://dx.doi.org/10.4028/www.scientific.net/amr.299-300.1217.

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According to handling route of assembly line of airbag optimization problem, handling path planning mathematical model is established. Based on natural coding genetic algorithm, combining with JH company assembly line of airbag layout and the actual situation of material handling, using MATLAB software to realize the genetic algorithm, production logistics fields materials handling route problem in the optimization method is put forward. To solve production enterprise assembly line material handling route optimization problem, and has certain directive role.

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40

Sujová, Erika, Helena Čierna, and Iwona Żabińska. "Application of Digitization Procedures of Production in Practice." Management Systems in Production Engineering 27, no. 1 (March 1, 2019): 23–28. http://dx.doi.org/10.1515/mspe-2019-0004.

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AbstractThe paper addresses application of digitazation of production processes, which is part of organizational digitization, also known as Industry 4.0. It deals with modernization and optimization of production systems by creating models in simulation software via digital engineering. For our analysis, 8 real assembly lines were used, with an average of 15 workplaces, which were integrated into one universal line by means of simulation. The aim of our research was to create a digital twin of the real assambly lien and to analyse effectiveness of the proposed modernization universal assembly line using the generated statistical data.

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41

Wang, Shi Long, Heng Zhou, Jie Zhou, and Rui Tang. "Study on Single-Hoist Multi-Objective Optimization Rescheduling Problem." Advanced Materials Research 328-330 (September 2011): 41–47. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.41.

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Combining with the actual production case, a multi-objective optimization rescheduling problem about that multiple products with various manufacturing processes in auto-production line aiming at a single hoist production in sequence where a new product is inserted is studied. Mathematical model and algorithm with a new stochastic scheduling method are proposed in fully consideration of the equipment (tank) and constraint of manufacture process. The model and algorithm which have been used in auto-production line of a surface treatment over half a year can meet the practical production requirements.

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42

Lin, Zheng Ying, Wei Yuan Shi, and Wei Zhang. "Optimization of the Automobile Parts Mixed Production Line Based on EM-Plant." Applied Mechanics and Materials 590 (June 2014): 867–71. http://dx.doi.org/10.4028/www.scientific.net/amm.590.867.

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The balance of mixed production line is the key issue, which means to adjust the working load to make working hour equal to production TAKT as well as to average the working hour of each station. Firstly, the automobile piston mixed production line system was analyzed by eM-Plant, which was carried out by object-oriented modeling and process-oriented simulation. After evaluating the production line performance, including the utilization rate of equipment and worker, the bottlenecks of the mixed production line were indentified. Finally, the relative measures were put forward to solve it, which makes the enterprise obtains the ability of rapid response to market demands.

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Ma, Yan Hua, Fan Sen Kong, Ying Jiang, Yu Zhang, and Yan Ao. "Balancing and Optimization of Vacuum Cleaner Assembly Line." Applied Mechanics and Materials 130-134 (October 2011): 3731–35. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.3731.

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The article elaborates the fundamental notion theory of assembly line balancing, aiming at F company’s assembly line actuality. It solves the practical problem occurred on production line by using heuristic method, and finally uses the methods of allocation in operations research. After the manufactory line balancing analysis, it raises the assembly efficiency obviously. Heuristic method is simple and practical to master, and the method provided in this paper could be popularize to other similar manufacturing factory.

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Taoka, Hideki, Hiroyuki Nobuta, Hideo Meguri, and Yoshihiro Kageyama. "Optimization of Motion Control in High-Speed Servo Press Line." International Journal of Automation Technology 4, no. 5 (September 5, 2010): 439–46. http://dx.doi.org/10.20965/ijat.2010.p0439.

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Honda Engineering Co., Ltd. developed an innovative servo press line that achieves the world’s highest level of productivity in producing deep-drawn automotive body panels. The innovative press production system was made so that the press forming conditions and panel transfer motions are adjusted to the dies very accurately for each part to be produced. The servo press line is planned to be expanded to Honda’s production plants on a global scale while allowing further evolution.

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Wang, Hong Jun, Ting Dong, Jing Zhang, and Hai Yan Wang. "Simulation and Optimization of the Camshaft Production Line Based on Petri Net." Advanced Materials Research 139-141 (October 2010): 1506–9. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1506.

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With the development of scientific and technology, the automotive industries competition is becoming more and tougher. The camshaft production system is an important part of the engine manufacturing. The production line productivity and characteristic are affected by many practical factors of the workshop. It’s a complex discrete manufacturing system somehow. In this paper, the production line model is presented based on Petri net. Then the mapping relationship is established between the Petri net model and the eM-Plant discrete system model. The discrete simulation model of production line is constructed by using eM-plant software. Based on the simulation, the reasonable simulation experimental are carried out with the determined simulation boundary and objectives under the different input conditions such as orders, the working stations' processing time, the working stations’ fault distribution, and the production line layout. The simulation experimental results are discussed on condition that the shifts, equipment operation condition, production line capacity and WIP in detail. These results could provide the theory basis for decision-making of the production plan of the automotive industries.

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Vasant, P. "Hybrid Line Search and Simulated Annealing For Production Planning System in Industrial Engineering." International Journal of Manufacturing, Materials, and Mechanical Engineering 4, no. 2 (April 2014): 1–13. http://dx.doi.org/10.4018/ijmmme.2014040101.

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In this paper, the details on the optimization methods such as line search and simulated annealing for the local and global optimization have been highlighted. The hybrid line search and simulated annealing technique has been extensively explored in this research work. In this research the hybridization of line search and simulated annealing method provides satisfactory outcomes for the production planning problem in an uncertain environment. The major advantages and disadvantages of line search and simulated annealing also provided in this paper. The results for industrial production problem have been obtained successfully in the form of 2D and 3D plots.

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Zheng, Yong Qian, Jie Li, Ya Ling Zhao, and Deng Jun Wang. "Research on Powertrain Production Line Modeling and Design." Advanced Materials Research 225-226 (April 2011): 1250–53. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.1250.

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Nowadays in automotive industry JIT production mode is an overwhelming trend. And it resulted in an unprecedented challenge to the traditional mode of production designing, operation and information transaction. To solve the problems mentioned above a novel method is proposed to establish planning system models with tree discrete view structure, to visualize control and optimization in designing production line based on processing work flow. This model gave attention to various paths to access and control the production line, and also to communications with other systems among enterprises. Finally, this paper proposed a prototype system and took a production line of 5V engine cylinder head for example to examine the planning method. The results show it helps a lot in improving the efficiency and accuracy of production line planning.

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Gonzalez, José Henrique da Costa Queiroz, and Nelson Kuwahara. "Production Line Virtualization Process Using Plant Simulation Tool." International Journal for Innovation Education and Research 9, no. 9 (September 1, 2021): 188–201. http://dx.doi.org/10.31686/ijier.vol9.iss9.3329.

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The constant changes in the world generate demands for improvements in processes, either by reducing costs or increasing capacity. One of the most used methods today for process optimization is Discrete Simulation. This research presents a discrete simulation application, using the Tecnomatix Plant Simulation software to simulate a production line in the Manaus Industrial Pole. Mathematical modeling made it possible to understand the parameters involved in the production process and worked as a guide for the production line's composition in the Plant Simulation environment. The production line modeled in Plant Simulation used real input data obtained in two months of production in 2020. The results obtained showed that the modeling reached the objective of virtualizing the production process, once that the differences between the simulation and the real process were at most 1.07%.

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Zheng, Peng, Zhi Yan Jia, and Li Gong. "Structure Optimization of the Small Arm of Feed Mechanism in the Rubber Mixing Production Line." Advanced Materials Research 816-817 (September 2013): 790–94. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.790.

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In the rubber mixing production line, because of the traditional design method, the stiffness of the small arm of feed mechanism is usually not enough and the reserve of strength and weight is surplus. To solve the above problems, we optimized the arm structure with the optimization design module of the finite element analysis software. Based on the structure theory and optimization design theory, the three-dimensional model and the proper optimization model been established with the three-dimensional software and finite element analysis software. The total weight of the small arm is used as the objective of optimization and the dimensions of each parts is used as the design variables. Under the precondition of requirements of strength and stiffness, the optimal solution of these dimensions is figured out. Analysis shows that the method of structure optimization is feasible. This method provides an important reference for the optimization design of feed mechanism's small arm and similar parts.

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Tang, Xiu Ying, Jie Shi, Li Chang Chen, Lin Lin Yang, and Xue Mei Leng. "Logistics Simulation and Optimization Design of One Production Line Based on Flexsim." Applied Mechanics and Materials 397-400 (September 2013): 2622–25. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2622.

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At present, with the rapid development of manufacturing industry, the problem in the production process is constantly exposed. This kind of production system is very complicated that it is often the spatial variable, time variable and random variable interdependent dynamic problems. The computer simulation software is the one of the best effective way to find out the problems existing in the production process. This paper takes one product line as example, using Flexsim simulation software in the production line for modeling and simulation. Then the simulation test and simulation analysis is done to find out the bottleneck of the system. Finally proposal is given to solving the bottleneck problem, and Flexsim simulation of new distribution is proved that it could improve the efficiency of the production line.

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