Risk assessment for enterprise resource planning (ERP) system implementations: a fault tree analysis approach

Enterprise resource planning (ERP) system implementations are often characterised with large capital outlay, long implementation duration, and high risk of failure. In order to avoid ERP implementation failure and realise the benefits of the system, sound risk management is the key. This paper proposes a probabilistic risk assessment approach for ERP system implementation projects based on fault tree analysis, which models the relationship between ERP system components and specific risk factors. Unlike traditional risk management approaches that have been mostly focused on meeting project budget and schedule objectives, the proposed approach intends to address the risks that may cause ERP system usage failure. The approach can be used to identify the root causes of ERP system implementation usage failure and quantify the impact of critical component failures or critical risk events in the implementation process.     

The influence of enterprise resource planning (ERP) systems' performance on earnings management

We analyse whether there is a linkage between performance measures of enterprise resource planning (ERP) systems and earnings management. We find that earnings management decreases with the higher performance of ERP systems. The empirical result is as expected. We further analyse how the dimension of the DeLone and McLean model of information systems success affects earnings management. We find that the relationship between the performance of ERP systems and earnings management depends on System Quality after ERP implementation. The more System Quality improves, the more earnings management is reduced.     

基于BP神经网络与GM(1,1)组合的北京市物流需求预测模型

通过分析影响北京市物流需求的相关因素,构建北京市物流需求预测影响因素指标体系。运用BP神经网络和GM(1,1)方法,建立北京市物流需求组合预测模型,选取近20年的统计数据对未来五年的物流需求进行预测,得出物流需求总量及变化规律,并以此提出推进北京市物流业发展的有效途径,为物流系统规划提供合理依据及有效发展途径。     

中小型服装企业基于计算机网络的生产管理系统

建构中小型服装企业的计算机网络生产管理系统,有利于收集服装生产的信息和资源全局的调动,采集数据库存储相关的生产流程的管理数据和生产资料,客户端子系统分别处理数据,使每个子系统各显其能,及时发现生产流程中的问题,及时解决。使生产流水线畅通无阻。从而提高企业产能和经济效益。