A supply chain optimization DSS Web-services-based for e-retail industry

Author

Xin, Jin

Author_Institution

Comput. Sch., Wuhan Univ., Wuhan, China

Volume

3

fYear

2011

fDate

8-9 Sept. 2011

Firstpage

229

Lastpage

232

Abstract

This paper explores the integrated development and application of incorporating recommendation system with decision support system and proposes a supply chain optimization DSS Web-services-based for e-retail industry. This system includes three basic models and many databases, such as recommended commodity database, storehouse information database, supplier information database and other external messages. It based on web services that can make calling model or database as convenient as invoking function. This system offers decision makers of e-retail companies a comprehensive view about information relating to supply chain optimization. Hence, decision maker can grasp various influencing factors and finally make significant decisions that are helpful for development of e-retail companies.

Keywords

Web services; database management systems; decision support systems; recommender systems; retail data processing; service industries; supply chain management; DSS Web services; decision support system; e-retail industry; external message; invoking function; recommendation system; recommended commodity database; storehouse information database; supplier information database; supply chain optimization; Analytical models; Computational modeling; Data models; Databases; Decision support systems; Supply chains; Web services; DSS; E-retail; Recommendation System; Supply chain optimization; Web Services;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Automation Conference (PEAM), 2011 IEEE

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9691-4

Type

conf

DOI

10.1109/PEAM.2011.6135052

Filename

6135052