Evaluating the performance of constructive heuristics for the blocking flow shop scheduling problem with setup times

被引:13
|
作者
Takano, Mauricio Iwama [1 ]
Nagano, Marcelo Seido [2 ]
机构
[1] Fed Technol Univ Parana, Av Alberto Carazzai 1640, BR-86300000 Cornelio Procopio, Parana, Brazil
[2] Univ Sao Paulo, Sao Carlos Sch Engn, Av Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP, Brazil
关键词
Flow shop; Blocking; Zero buffer; Setup times; Makespan; Heuristics; ALGORITHMS;
D O I
10.5267/j.ijiec.2018.5.002
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper addresses the minimization of makespan for the permutation flow shop scheduling problem with blocking and sequence and machine dependent setup times, a problem not yet studied in previous studies. The 14 best known heuristics for the permutation flow shop problem with blocking and no setup times are presented and then adapted to the problem in two different ways; resulting in 28 different heuristics. The heuristics are then compared using the Taillard database. As there is no other work that addresses the problem with blocking and sequence and ma-chine dependent setup times, a database for the setup times was created. The setup time value was uniformly distributed between 1% and 10%, 50%, 100% and 125% of the processing time value. Computational tests are then presented for each of the 28 heuristics, comparing the mean relative deviation of the makespan, the computa-tional time and the percentage of successes of each method. Results show that the heuristics were capable of providing interesting results. (C) 2019 by the authors; licensee Growing Science, Canada
引用
收藏
页码:37 / 50
页数:14
相关论文
共 50 条
  • [31] Development and analysis of constructive heuristic algorithms for flow shop scheduling problems with sequence-dependent setup times
    Vanchipura, Rajesh
    Sridharan, R.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 67 (5-8): : 1337 - 1353
  • [32] A novel discrete water wave optimization algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times
    Shao, Zhongshi
    Pi, Dechang
    Shao, Weishi
    SWARM AND EVOLUTIONARY COMPUTATION, 2018, 40 : 53 - 75
  • [33] Constructive Heuristics Comparison in Hybrid Flow Shop Scheduling Environments with Missing Operations
    Dios, Manuel
    Manuel Framinan, Jose
    2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM), 2015, : 858 - 868
  • [34] Modeling and optimization of the hybrid flow shop scheduling problem with sequence-dependent setup times
    Xue, Huiting
    Meng, Leilei
    Duan, Peng
    Zhang, Biao
    Zou, Wenqiang
    Sang, Hongyan
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS, 2024, 15 (02) : 473 - 490
  • [35] Minimizing the Number of Tardy Jobs in Flow Shop Sequence Dependent Setup Times Scheduling Problem
    Varmazyar, Mohsen
    Salmasi, Nasser
    MECHANICAL AND AEROSPACE ENGINEERING, PTS 1-7, 2012, 110-116 : 4063 - 4069
  • [36] Modified Estimation of Distribution Algorithm for Solving Flow-shop Scheduling Problem with Setup Times
    Feng, Mengxuan
    Kong, Jianshou
    Liu, Lingyan
    Liu, Guodong
    Zhao, Shanshan
    Zhang, Yue
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 4041 - 4046
  • [37] A branch and bound method in a permutation flow shop with blocking and setup times
    Nagano, Marcelo Seido
    Takano, Mauricio Iwama
    Silva Robazzi, Joao Vitor
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS, 2022, 13 (02) : 255 - 266
  • [38] A knowledge-driven constructive heuristic algorithm for the distributed assembly blocking flow shop scheduling problem
    Yang, Yahong
    Li, Xun
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 202
  • [39] Handling ties in heuristics for the permutation flow shop scheduling problem
    Vasiljevic, Dragan
    Danilovic, Milos
    JOURNAL OF MANUFACTURING SYSTEMS, 2015, 35 : 1 - 9
  • [40] Heuristics based hybrid approach of flow shop scheduling problem
    Lokesh, K.
    Jayaprakash, J.
    Alene, Tibebu
    4TH INTERNATIONAL CONFERENCE ON DESIGN, ANALYSIS, MANUFACTURING AND SIMULATION (ICDAMS 2020), 2020, 992