Comparative study of dispatching rules in a real-life job shop environment

被引:13
|
作者
Mizrak, Pinar [1 ]
Bayhan, G. Mirac [1 ]
机构
[1] Dokuz Eylul Univ, Dept Ind Engn, TR-35100 Izmir, Turkey
关键词
D O I
10.1080/08839510600779738
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we compare the performance of dispatching rules in a real-life job shop environment and provide guidance for schedulers to determine effective dispatching rules for this type of systems. We consider a total of 20 dispatching rules, that range from some previously developed rules to some recently developed sophisticated rules such as process time plus work in next queue plus negative slack (PT + WINQ + SL), multi factor rule, and bottleneck dynamics. The performance measures examined are average weighted tardiness and proportion of tardy jobs. Discrete event simulation model based on ARENA is developed to implement the rules. Results from this study are given in detail.
引用
收藏
页码:585 / 607
页数:23
相关论文
共 50 条
  • [41] Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling
    Park, John
    Nguyen, Su
    Zhang, Mengjie
    Johnston, Mark
    GENETIC PROGRAMMING (EUROGP 2015), 2015, 9025 : 92 - 104
  • [42] Dispatching Rules Revisited-A Large Scale Job Shop Scheduling Experiment
    Teppan, Erich C.
    2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2018, : 561 - 568
  • [44] Online and Real-Life Identity: A Comparative Study
    Voiskunsky, Alexandr
    Evdokimenko, Alexandr
    Fedunina, Natalia
    PSYCHOLOGY-JOURNAL OF THE HIGHER SCHOOL OF ECONOMICS, 2013, 10 (02): : 98 - 121
  • [45] A comparison of dispatching rules and genetic algorithms for job shop schedules of standard hydraulic cylinders
    Kim, Ikno
    Watada, Junzo
    Shigaki, Ichiro
    SOFT COMPUTING, 2008, 12 (02) : 121 - 128
  • [46] SIMULATION STUDIES OF MULTILEVEL DYNAMIC JOB SHOP SCHEDULING USING HEURISTIC DISPATCHING RULES
    KARSITI, MN
    CRUZ, JB
    MULLIGAN, JH
    JOURNAL OF MANUFACTURING SYSTEMS, 1992, 11 (05) : 346 - 358
  • [47] A comparison of dispatching rules and genetic algorithms for job shop schedules of standard hydraulic cylinders
    Ikno Kim
    Junzo Watada
    Ichiro Shigaki
    Soft Computing, 2008, 12 : 121 - 128
  • [48] Data Mining Based Dispatching Rules Selection System for the Job Shop Scheduling Problem
    Zahmani, M. Habib
    Atmani, B.
    JOURNAL OF ADVANCED MANUFACTURING SYSTEMS, 2019, 18 (01) : 35 - 56
  • [49] Learning dispatching rules using random forest in flexible job shop scheduling problems
    Jun, Sungbum
    Lee, Seokcheon
    Chun, Hyonho
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57 (10) : 3290 - 3310
  • [50] Evolving Dispatching Rules in Improved BWO Heuristic Algorithm for Job-Shop Scheduling
    Zhang, Zhen
    Jin, Xin
    Wang, Yue
    ELECTRONICS, 2024, 13 (13)