DocumentCode :
169139
Title :
Logistics scheduling based on cloud business workflows
Author :
Rongbin Xu ; Xiao Liu ; Ying Xie ; Futian Wang ; Cheng Zhang ; Yun Yang
Author_Institution :
Sch. of Comput. Sci. & Technol., Anhui Univ., Hefei, China
fYear :
2014
fDate :
21-23 May 2014
Firstpage :
29
Lastpage :
34
Abstract :
Due to fast development of e-commerce, logistics, network and cloud computing, many businesses have changed their traditional production and sale patterns. This brings big opportunities and challenges to logistics. Among the process of logistics, delivery is a key issue. This paper mainly focuses on logistics scheduling based on cloud business workflows. A constrained Dijkstra algorithm is proposed to select an optimal route for logistics transportation with various parameters. We then put forward a distribution logistics scheduling algorithm to solve tracking large numbers of expresses based on business workflows. The simulation indicates the effectiveness of our two novel algorithms.
Keywords :
cloud computing; electronic commerce; graph theory; logistics; scheduling; transportation; cloud business workflows; constrained Dijkstra algorithm; distribution logistics scheduling algorithm; e-commerce; logistics transportation; sale patterns; Cloud computing; Logistics; Scheduling; Scheduling algorithms; Transportation; business workflow; cloud computing; constrained Dijkstra algorithm; distribution logistics; logistics scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), Proceedings of the 2014 IEEE 18th International Conference on
Conference_Location :
Hsinchu
Type :
conf
DOI :
10.1109/CSCWD.2014.6846812
Filename :
6846812
Link To Document :
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