Title :
A supply chain optimization DSS Web-services-based for e-retail industry
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
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;
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
DOI :
10.1109/PEAM.2011.6135052
