现代企业的社会化和网络化趋势使得人员行为和海量数据对企业管理的影响越来越大，如何定量分析这些因素对企业运营特别是企业资源配置的影响是亟待解决的重要科学问题。目前，ERP是解决企业资源规划的主流系统。ERP1.0采用了静态化的流程设计理念，ERP2.0采用动态设计- - 但二者都未能充分考虑人员行为和海量信息这些影响因素。为此，本课题将探讨研究基于平行管理系统的新型企业资源计划ERP3.0概念和原型。首先，提出基于人工社会、计算实验、平行执行的"情景-应对"型的计算企业管理框架；然后采用多智能体技术构建人工组织，在此基础上通过计算实验分析企业人员行为以及海量数据对企业资源配置的影响；最后，在平行管理平台架构研究的基础上，建立石化企业的ERP3.0系统原型，并在实践应用中检验该原型的适应性。本课题力求推动我国在企业资源管理系统方面的自主研发水平，促进具有中国特色的管理理论和管理实践的发展。

The influence of human and organizational behaviors and big data play a more and more significant role in enterprise management due to modern enterprises' socializaton and networking. How to quantitatively analyse the influence becomes an important and urgent issue in Enterprise Resource Planning (ERP). Traditionally, ERP 1.0 is based on the design principle of static processes, while ERP 2.0 has been improved by the use of Web 2.0 to realize the dynamic interaction. However, both of them do not take the human and organizational behaviors and big data into account. Therefore, the goal of this project is to propose and investigate the concept of ERP 3.0 based on the idea of Parallel Management Systems (PMS). First of all, we introduce a "scenario-response" type compuational enterprise management approach that consists of mainly artificial societies, compuationatiol experiments, and parallel executions. Then the multi-agent technique is adopted to establish artificial organizations and provide the basis for using computational experiments to analyze the influence of human and organizational behaviors and big data on enterprise resource planning. Finally, based on the architecture of PMS platform, an ERP 3.0 prototype system will be constructured for petro-chemical enterprises and evaluated through real-world applications. We hope that investigation in this project will promote new and advanced research in enterprise managemnt in China.