MultiObjective Optimization for Modular ERP Implementation Service Design
ZHOU Zhenkun,MA Shihua,LIN Yong,YUE Feng
1. Huazhong University of Science and Technology, Wuhan, China; 2. Shenzhen Institute of Information Technology, Shenzhen, Guangdong, China ; 3. University of Greenwich, London, UK; 4. Changjet, Beijing, China
Focusing on ERP implementation service perspective, this study aims to explore modular ERP implementation service model based on Modularity Service Platform framework. We begin with demonstration on the relationship among the mainly elemental composition such as service module, service component, process module and activity module. Mathematical programming language is used to illustrate the multiobjective decision making of ERP service provider by applying particle swarm optimization algorithm. It turns out that there is a greater use of modular logic in the case of the knowledgeadvisory service for decision makers, who are qualified to define service areas distinctly and account service cost dynamically for customization more and more, as well as to build modular service boundary along with loosely coupling each process modules, which facilitates resources configuration agilely and efficiently resulting in the holistic performance of service improvement within a service supply chain.