A cloud computing platform for ERP applications

被引:47
作者
Chen, Chin-Sheng [1 ]
Liang, Wen-Yau [2 ]
Hsu, Hui-Yu [2 ]
机构
[1] Florida Int Univ, Dept Ind & Syst Engn, Miami, FL 33199 USA
[2] Natl Changhua Univ Educ, Dept Informat Management, Changhua, Taiwan
关键词
Web services composition; ERP; Cloud computing; Genetic algorithms; Rough set theory; SUPPLY CHAIN MANAGEMENT; SET-BASED APPROACH; ROUGH SET; GENETIC-ALGORITHM; WEB SERVICES; FEATURE-SELECTION; OPTIMIZATION; DESIGN; HYBRID; SYSTEM;
D O I
10.1016/j.asoc.2014.11.009
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cloud computing enables many applications of Web services and rekindles the interest of providing ERP services via the Internet. It has the potentials to reshape the way IT services are consumed. Recent research indicates that ERP delivered thru SaaS will outperform the traditional IT offers. However, distributing a service compared to distributing a product is more complicated because of the immateriality, theintegration and the one-shot-principle referring to services. This paper defines a CloudERP platform on which enterprise customers can select web services and customize a unique ERP system to meet their specific needs. The CloudERP aims to provide enterprise users with the flexibility of renting an entire ERP service through multiple vendors. This paper also addresses the challenge of composing web services and proposes a web-based solution for automating the ERP service customization process. The proposed service composition method builds on the genetic algorithm concept and incorporates with knowledge of web services extracted from the web service platform with the rough set theory. A system prototype was built on the Google App Engine platform to verify the proposed composition process. Based on experimental results from running the prototype, the composition method works effectively and has great potential for supporting a fully functional CloudERP platform. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:127 / 136
页数:10
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