Title :
An Intelligent Online Supply Chain Management System for Improved Decision Making on Supplier Selection
Author :
Yee, Chan Gaik ; Marssaille, Arrey ; Shah, Ida Farisha Moer Alim
Author_Institution :
Fac. of Inf. Technol., Multimedia Univ., Cyberjaya, Malaysia
Abstract :
The trend of efficient business practice is towards automating business processes by building a system that would simultaneously provide for a sustainable environment together with improved decision making. By applying current internet technology with a touch of creativity and machine intelligence, our online supply chain management system (OSCMS) is built to meet the objective of applying information technology (IT) to efficiently automate business processes for attaining a sustainable environment together with improved decision making. In this paper, we introduce an OSCMS with added functionality, vendor evaluation function that will further enrich the existing benefits of reducing costs, improving customer service and sales.
Keywords :
Internet; artificial intelligence; decision making; information services; supply chain management; business processes; decision making; information technology; intelligent online supply chain management system; internet technology; machine intelligence; supplier selection; vendor evaluation function; Cost function; Customer service; Decision making; Information technology; Internet; Machine intelligence; Manufacturing automation; Manufacturing processes; Multimedia systems; Supply chain management; business process automation; machine intelligence; supply chain management; sustainable environment; vendor evaluation;
Conference_Titel :
Computer Research and Development, 2010 Second International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-4043-6
DOI :
10.1109/ICCRD.2010.179
