Title :
A rolling horizon procedure with optimal operation assignment for job shop scheduling problems
Author :
Zuo Yan ; Xue Anke ; Zhou Xiaohui ; Guo Baofeng
Author_Institution :
Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
A rolling horizon procedure (RHP) with optimal operation assignment is present for the job shop scheduling problem with minimizing the total weighted tardiness. Different from the traditional RHP, we construct each subproblem with global performance considering the effect of operation assignment in each time window. Then a heuristic branch and bound algorithm is proposed to solve it optimally in a rolling horizon scheme. Computational results indicate that the proposed method is effective and outperforms the traditional RHP and some dispatching rules.
Keywords :
heuristic programming; job shop scheduling; rolling; tree searching; RHP; dispatching rules; heuristic branch and bound algorithm; job shop scheduling problems; optimal operation assignment; rolling horizon procedure; time window; total weighted tardiness; Heuristic algorithms; Job shop scheduling; Optimal scheduling; Processor scheduling; Schedules; Upper bound; Branch and bound; Job shop scheduling; Operation assignment; Rolling horizon procedure (RHP);
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an