A nested partitioning-based solution method for seru scheduling problem with resource allocation

被引:0
|
作者
Zhang, Zhe [1 ]
Izui, Kazuhiro [2 ]
Song, Xiaoling [1 ]
Yin, Yong [3 ]
Gong, Xue [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing 210094, Peoples R China
[2] Kyoto Univ, Dept Mech Engn & Sci, Kyoto 6158540, Japan
[3] Doshisha Univ, Grad Sch Business, Karasuma Imadegawa Kamigyo Ku, Kyoto 6028580, Japan
基金
中国国家自然科学基金;
关键词
Seru production system; Scheduling; Combination optimization model; Nested partitioning method; Resource allocation; LINE-CELL CONVERSION; ADDITIONAL RESOURCES; NUMERICAL-ANALYSIS; MODELS;
D O I
10.1016/j.jmse.2023.11.003
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper investigates the production scheduling problems of allocating resources and sequencing jobs in the seru production system (SPS). As a new-type manufacturing mode arising from Japanese production practices, seru production can achieve efficiency, flexibility, and responsiveness simultaneously. The production environment in which a set of jobs must be scheduled over a set of serus according to due date and different execution modes is considered, and a combination optimization model is provided. Motivated by the problem complexity and the characteristics of the proposed seru scheduling model, a nested partitioning method (NPM) is designed as the solution approach. Finally, computational studies are conducted, and the practicability of the proposed seru scheduling model is proven. Moreover, the efficiency of the nested partitioning solution method is demonstrated by the computational results obtained from different scenarios, and the good scalability of the proposed approach is proven via comparative analysis. (c) 2024 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:101 / 114
页数:14
相关论文
共 50 条
  • [1] Scheduling controllable processing time jobs in seru production system with resource allocation
    Jiang, Yujing
    Zhang, Zhe
    Song, Xiaoling
    Yin, Yong
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2022, 73 (11) : 2551 - 2571
  • [2] A column generation-based exact solution method for seru scheduling problems
    Zhang, Zhe
    Gong, Xue
    Song, Xiaoling
    Yin, Yong
    Lev, Benjamin
    Chen, Jie
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2022, 108
  • [3] A hybrid GA-PSO algorithm for seru scheduling problem with dynamic resource allocation
    Shen, Ling
    Zhang, Zhe
    Song, Xiaoling
    Yin, Yong
    INTERNATIONAL JOURNAL OF MANUFACTURING RESEARCH, 2023, 18 (01) : 100 - 124
  • [4] A nested partitioning-based approach to integrate process planning and scheduling in flexible manufacturing environment
    Mohapatra, P.
    Kumar, N.
    Matta, Andrea
    Tiwari, M. K.
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2015, 28 (10) : 1077 - 1091
  • [5] Logic-based Benders decomposition method for the seru scheduling problem with sequence-dependent setup time and DeJong's learning effect
    Zhang, Zhe
    Song, Xiaoling
    Huang, Huijung
    Zhou, Xiaoyang
    Yin, Yong
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2022, 297 (03) : 866 - 877
  • [6] Resource allocation and scheduling problem based on genetic algorithm and ant colony optimization
    Wang, Su
    Meng, Bo
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2007, 4426 : 879 - +
  • [7] STUDY ON RESOURCE ALLOCATION SCHEDULING PROBLEM WITH LEARNING FACTORS AND GROUP TECHNOLOGY
    Yan, Jia-Xuan
    Ren, Na
    Bei, Hong-Bin
    Bao, Han
    Wang, Ji-Bo
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2023, 19 (05) : 3419 - 3435
  • [8] Job scheduling and resource allocation in parallel-machine system via a hybrid nested partition method
    Fu, Yaping
    Jiang, Guanjie
    Tian, Guangdong
    Wang, Zhenling
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2019, 14 (04) : 597 - 604
  • [9] An Efficient Solution of the Resource Constrained Project Scheduling Problem Based on an Adaptation of the Developmental Genetic Programming
    Pawinski, Grzegorz
    Sapiecha, Krzysztof
    RECENT ADVANCES IN COMPUTATIONAL OPTIMIZATION: RESULTS OF THE WORKSHOP ON COMPUTATIONAL OPTIMIZATION WCO 2014, 2016, 610 : 205 - 223
  • [10] Multi-objective scheduling and a resource allocation problem in hospitals
    Silvija Vlah Jerić
    José Rui Figueira
    Journal of Scheduling, 2012, 15 : 513 - 535