DocumentCode
3294408
Title
Reverse integrated scheduling algorithm based on dynamic reverse essential short path
Author
Zhiqiang Xie ; Yonghong Qi ; Yingjie Han
Author_Institution
Coll. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
Volume
2
fYear
2013
fDate
June 28 2013-July 1 2013
Firstpage
11
Lastpage
15
Abstract
Integrated scheduling algorithm based on dynamic essential short path, calculates essential path length of operations on the same device and schedules operation on essential short path previously, so it can avoid the problem of forming essential long path and extending the product finishing time effectively; Reverse dynamic critical paths integrated scheduling algorithm, schedules father nodes firstly, then schedules son nodes, so it can make many son node operations fully parallel processing and improve the parallelism of operations. Reverse integrated scheduling algorithm based on dynamic reverse essential short path is proposed in this paper by combining the two algorithms. The algorithm adopts dynamic long-path strategy and dynamic reverse essential short path strategy to confirm reverse essential schedule operation and schedules the reverse essential schedule operation by first fit scheduling method. Examples show that the algorithm can optimize the above two scheduling algorithms and improve the production efficiency without increasing algorithm complexity.
Keywords
job shop scheduling; dynamic long-path strategy; dynamic reverse essential short path strategy; first fit scheduling method; job shop scheduling algorithm; parallel processing; path length; reverse dynamic critical paths integrated scheduling algorithm; Artificial intelligence; Complexity theory; Dynamic scheduling; Heuristic algorithms; Schedules; Dynamic long-path strategy; Dynamic reverse essential short path strategy; Reverse essential schedule operation; Scheduling algorithm; integrated scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Strategic Technology (IFOST), 2013 8th International Forum on
Conference_Location
Ulaanbaatar
Print_ISBN
978-1-4799-0931-5
Type
conf
DOI
10.1109/IFOST.2013.6616870
Filename
6616870
Link To Document