Johnson's algorithm: A key to solve optimally or approximately flow shop scheduling problems with unavailability periods

被引:16
|
作者
Allaoui, Hamid [1 ]
Artiba, AbdelHakim [2 ]
机构
[1] Univ Artois, Bethune, France
[2] Inst Super Mecan Paris SUPMECA, Paris, France
关键词
Johnson's algorithm; Flow shop; Scheduling; Unavailability; Approximation;
D O I
10.1016/j.ijpe.2008.09.018
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Johnson's algorithm (JA) is perhaps the most classical algorithm in the scheduling area. JA gives the optimal solution to the two machine flow shop to minimize the makespan in polynomial time. Researchers have tried to extend this notorious result to obtain polynomial time algorithms for more general cases. Such importance motivated us to devote this paper to JA applied to three flow shop problems with unavailability periods to minimize the makespan. First we focus on the optimality condition of JA. Then we propose a modification of JA. After we calculate new performances of JA as a heuristic. Last we deal with an extension of JA. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:81 / 87
页数:7
相关论文
共 50 条
  • [1] Johnson's algorithm: A key to solve optimally or approximately flow shop scheduling problems with unavailability periods
    University of Artois, Bethune, France
    不详
    Int J Prod Econ, 1600, 1 (81-87):
  • [2] Johnson's algorithm: A key to solve optimally or approximately flowshop scheduling problems with unavailability periods (vol 121, pg 81, 2009)
    Rapine, C.
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2013, 144 (02) : 641 - 643
  • [3] A hybrid genetic algorithm for non-permutation flow shop scheduling problems with unavailability constraints
    Cui, Wei-Wei
    Lu, Zhiqiang
    Zhou, Binghai
    Li, Chen
    Han, Xiaole
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2016, 29 (09) : 944 - 961
  • [4] A hybrid discrete particle swarm optimization algorithm to solve flow shop scheduling problems
    Chandrasekaran, S.
    Ponnambalam, S. G.
    Suresh, R. K.
    Vijayakumar, N.
    2006 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2006, : 528 - +
  • [5] A memetic algorithm to solve uncertain energy-efficient flow shop scheduling problems
    Mariappan Kadarkarainadar Marichelvam
    Mariappan Geetha
    The International Journal of Advanced Manufacturing Technology, 2021, 115 : 515 - 530
  • [6] A memetic algorithm to solve uncertain energy-efficient flow shop scheduling problems
    Marichelvam, Mariappan Kadarkarainadar
    Geetha, Mariappan
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 115 (1-2): : 515 - 530
  • [7] TO SOLVE THE OPEN SHOP SCHEDULING PROBLEMS WITH THE PARALLEL KANGAROO ALGORITHM
    Baysal, M. Emin
    Durmaz, Taha
    Sarucan, Ahmet
    Engin, Orhan
    JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2012, 27 (04): : 855 - 864
  • [8] A hybrid discrete firefly algorithm to solve flow shop scheduling problems to minimise total flow time
    Marichelvam, M. K.
    Geetha, M.
    INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2016, 8 (05) : 318 - 325
  • [9] A genetic algorithm for flow shop scheduling problems
    Etiler, O
    Toklu, B
    Atak, M
    Wilson, J
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2004, 55 (08) : 830 - 835
  • [10] Dynamic Seed Genetic Algorithm to Solve Job Shop Scheduling Problems
    Grassi, Flavio
    Triguis Schimit, Pedro Henrique
    Pereira, Fabio Henrique
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INITIATIVES FOR A SUSTAINABLE WORLD, 2016, 488 : 170 - 177