An Internet-based group decision support system for mass customization

Author

Huang, Hailiang ; Wang, Songxin

Author_Institution

Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Econ., China

Volume

3

fYear

2005

fDate

10-12 Oct. 2005

Firstpage

2620

Abstract

This paper presents GDSS-MC, a group decision support system for enterprises that employ mass customization (MC) strategy. It is a Web-based platform enabling multiple experts to cooperate on decision-making of MC-related problems by the form of virtual team. The group decision information processing is presented, upon which the system architecture and functionalities of GDSS-MC are designed. GDSS-MC consists of 4 subsystems: decision project management subsystem, decision method base, decision model base and information analysis services. Some artificial intelligent approaches are employed to enhance the system efficiency, including case-based system for decision case learning and Web-driven data mining for knowledge discovery. Based on the framework presented in this paper, a Web-enabled software prototype of GDSS-MC is developed.

Keywords

Internet; case-based reasoning; data mining; decision making; group decision support systems; learning (artificial intelligence); mass production; product customisation; GDSS-MC; Internet-based group decision support system; Web-driven data mining; Web-enabled software prototype; artificial intelligence; case-based system; decision case learning; decision method base; decision model base; decision project management subsystem; decision-making; information analysis service; knowledge discovery; mass customization; virtual team; Artificial intelligence; Decision making; Decision support systems; Information analysis; Information processing; Internet; Learning; Mass customization; Project management; Virtual groups; Group decision support system; Internet; mass customization;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2005 IEEE International Conference on

Print_ISBN

0-7803-9298-1

Type

conf

DOI

10.1109/ICSMC.2005.1571544

Filename

1571544