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