Heuristics for a two-stage hybrid flowshop scheduling problem with ready times and a product-mix ratio constraint

被引:27
作者
Kim, Yeong-Dae [1 ]
Joo, Byung-Jun [1 ]
Shin, Jong-Ho [2 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept Ind Engn, Taejon 305701, South Korea
[2] Ecole Polytech Fed Lausanne, Inst Prod & Robot, CH-1015 Lausanne, Switzerland
关键词
Scheduling; Heuristics; Hybrid flowshop; Product-mix ratio; Makespan; BATCH-PROCESSING MACHINE; MINIMIZING TOTAL TARDINESS; PARALLEL MACHINES; COMPLETION-TIME; GENETIC ALGORITHM; BACKWARD APPROACH; BOUND ALGORITHM; MAKESPAN; STAGE; SHOP;
D O I
10.1007/s10732-007-9061-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper focuses on the scheduling problem of minimizing makespan for a given set of jobs in a two-stage hybrid flowshop subject to a product-mix ratio constraint. There are identical parallel machines at the first stage of the hybrid flowshop, while there is a single batch-processing machine at the second stage. Ready times of the jobs (at the first stage) may be different, and a given product-mix ratio of job types should be kept in each batch at the second stage. We present three types of heuristic algorithms: forward scheduling algorithms, backward scheduling algorithms, and iterative algorithms. To evaluate performance of the suggested algorithms, a series of computational experiments are performed on randomly generated test problems and results are reported.
引用
收藏
页码:19 / 42
页数:24
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