The Implementation of Multiobjective Flexible Workshop Scheduling Based on Genetic Simulated Annealing-Inspired Clustering Algorithm
Multiobjective flexible workshop scheduling is an important subject to improve resource utilization and production efficiency and enhance the competitiveness of enterprises. As the situation of resource constraints becomes more and more severe, the problem of companies rationally allocating limited...
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Published in | Wireless communications and mobile computing Vol. 2022; no. 1 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Hindawi
2022
John Wiley & Sons, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 1530-8669 1530-8677 1530-8677 |
DOI | 10.1155/2022/7452638 |
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Abstract | Multiobjective flexible workshop scheduling is an important subject to improve resource utilization and production efficiency and enhance the competitiveness of enterprises. As the situation of resource constraints becomes more and more severe, the problem of companies rationally allocating limited resources in production is becoming more and more serious. Today, the manufacturing industry widely adopts advanced manufacturing modes such as computer-integrated manufacturing and intelligent manufacturing, but in these semi-intelligent manufacturing modes with a high degree of uncertainty and a high degree of personnel dependence, it is difficult to adapt to the work of large-scale production. Therefore, suitable clustering algorithms are urgently needed to help solve these problems, and this paper selects a clustering algorithm based on the genetic simulation annealing algorithm. This article is aimed at studying the problem of efficiency improvement in the production process of large-scale manufacturing and at finding a stronger and more effective production mode for the manufacturing industry. Firstly, this paper introduces the basic principles of simulated annealing genetic algorithm and regularized clustering algorithm. These algorithms have excellent performance in searching for global optimal solutions. They can be constantly tested and computed to keep the calculation results close to the global optimal solution. In this paper, the K-means clustering algorithm is used to select the shortest completion time to represent the clustering target. According to the minimum distance principle, the machine, workpiece, and other objects are input into the clustering of the algorithm, and the K-means algorithm will send out the sorting plan. Therefore, a multiobjective flexible job shop scheduling model based on genetic simulated annealing algorithm and clustering algorithm is established. Then, by using hypothetical production data to simulate the operation of the workshop, the scheduling model was applied to conduct a deduction and empirical comparative study. The experimental results showed that the model shortened the completion time of the workpiece by 4.4% and increased the average load rate of the machine by 10%. |
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AbstractList | Multiobjective flexible workshop scheduling is an important subject to improve resource utilization and production efficiency and enhance the competitiveness of enterprises. As the situation of resource constraints becomes more and more severe, the problem of companies rationally allocating limited resources in production is becoming more and more serious. Today, the manufacturing industry widely adopts advanced manufacturing modes such as computer-integrated manufacturing and intelligent manufacturing, but in these semi-intelligent manufacturing modes with a high degree of uncertainty and a high degree of personnel dependence, it is difficult to adapt to the work of large-scale production. Therefore, suitable clustering algorithms are urgently needed to help solve these problems, and this paper selects a clustering algorithm based on the genetic simulation annealing algorithm. This article is aimed at studying the problem of efficiency improvement in the production process of large-scale manufacturing and at finding a stronger and more effective production mode for the manufacturing industry. Firstly, this paper introduces the basic principles of simulated annealing genetic algorithm and regularized clustering algorithm. These algorithms have excellent performance in searching for global optimal solutions. They can be constantly tested and computed to keep the calculation results close to the global optimal solution. In this paper, the K-means clustering algorithm is used to select the shortest completion time to represent the clustering target. According to the minimum distance principle, the machine, workpiece, and other objects are input into the clustering of the algorithm, and the K-means algorithm will send out the sorting plan. Therefore, a multiobjective flexible job shop scheduling model based on genetic simulated annealing algorithm and clustering algorithm is established. Then, by using hypothetical production data to simulate the operation of the workshop, the scheduling model was applied to conduct a deduction and empirical comparative study. The experimental results showed that the model shortened the completion time of the workpiece by 4.4% and increased the average load rate of the machine by 10%. |
Author | Wu, Si Huang, Ming Wang, Fei |
Author_xml | – sequence: 1 givenname: Ming surname: Huang fullname: Huang, Ming organization: College of Software Dalian Jiaotong University Dalian 116028 Liaoning China djtu.edu.cn – sequence: 2 givenname: Fei surname: Wang fullname: Wang, Fei organization: College of Mechanical Engineering Dalian Jiaotong University Dalian 116028 Liaoning China djtu.edu.cn – sequence: 3 givenname: Si orcidid: 0000-0003-0188-1121 surname: Wu fullname: Wu, Si organization: College of Foreign Languages Dalian University of Science and Technology Dalian 116052 Liaoning China |
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Cites_doi | 10.1007/s11770-020-0806-x 10.1007/s43926-021-00011-w 10.1186/s13638-021-01910-w 10.1007/s00500-020-05347-z 10.1007/s40684-019-00055-y 10.1016/j.knosys.2019.04.019 10.1007/s00170-020-05487-4 10.1007/s42835-018-00038-0 10.1134/S0361768820010041 10.1016/j.omega.2018.02.005 10.26599/BDMA.2019.9020022 10.1155/2017/4367342 10.1007/s13042-020-01231-2 10.1016/j.future.2018.12.065 10.1155/2016/9264561 10.1515/phys-2020-0192 10.7861/futurehealth.6-2-s12 10.1021/acs.jpca.0c06019 10.1142/S1793962319500247 10.1108/IJIUS-02-2019-0011 10.1007/s12239-020-0061-4 10.1155/2016/8198915 10.1007/s10951-016-0481-1 10.1007/s00607-019-00787-4 10.1007/s11045-019-00687-y 10.1007/s10479-019-03196-0 10.1007/s00521-019-04461-w 10.1007/s12205-020-2051-5 10.1007/s00521-020-05395-4 |
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Copyright | Copyright © 2022 Ming Huang et al. Copyright © 2022 Ming Huang et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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References | e_1_2_8_27_2 e_1_2_8_28_2 e_1_2_8_23_2 e_1_2_8_24_2 Moore B. (e_1_2_8_29_2) 2018; 38 e_1_2_8_25_2 e_1_2_8_26_2 e_1_2_8_9_2 e_1_2_8_2_2 e_1_2_8_1_2 e_1_2_8_4_2 e_1_2_8_3_2 e_1_2_8_6_2 e_1_2_8_5_2 e_1_2_8_8_2 e_1_2_8_7_2 e_1_2_8_20_2 e_1_2_8_21_2 e_1_2_8_22_2 e_1_2_8_16_2 e_1_2_8_17_2 e_1_2_8_18_2 e_1_2_8_19_2 e_1_2_8_12_2 e_1_2_8_13_2 e_1_2_8_14_2 e_1_2_8_15_2 e_1_2_8_30_2 e_1_2_8_10_2 e_1_2_8_11_2 |
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SubjectTerms | Cluster analysis Clustering Comparative studies Completion time Computer integrated manufacturing Decision making Deduction Energy consumption Energy efficiency Genetic algorithms Information technology Intelligent manufacturing systems Internet of Things Job shop scheduling Job shops Logistics Manufacturing Multiple objective analysis Neural networks Optimization Preventive maintenance Principles Resource utilization Scheduling Simulated annealing Simulation Sorting algorithms Vector quantization Weightlifting Workpieces Workshops |
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Title | The Implementation of Multiobjective Flexible Workshop Scheduling Based on Genetic Simulated Annealing-Inspired Clustering Algorithm |
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