Title :
Business information supply chain modeling and simulation methodology
Author :
Liu, Vincent Y. ; Zhang, Joe Z. ; Sun, Xinbo ; Huang, Hao
Author_Institution :
Macau University of Science and Technology, Macau
Abstract :
Business information supply chain management in today´s business climate characterized are with high uncertainty. Globalization of business, outsourcing, shorter transaction cycles, and high end user expectations require effective solutions for business information supply chain. Simulation can be a valuable tool for business information supply chain analysis, planning, optimization, evaluation, and risk management. This paper presents a methodology for modeling both structure and dynamics of complex business information supply chain based on process approach. It also describes the model-driven simulation methodology and the main components of the simulation software solution: model database, process library, knowledge base, and execution engine. Finally, simulation results of the case supply network are presented.
Keywords :
Business information supply chain; Discrete event simulation; Expert system; Process modeling;
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2012 Proceedings of International Conference on
Conference_Location :
Wuhan, Hubei, China
Print_ISBN :
978-1-4673-1524-1