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 multiobjective 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 knowledgeadvisory 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.