摘要
为了解决企业ERP实施规划方案中的时间、成本、质量不确定优化问题,结合PERT技术提出了基于机会约束规划的实施进度、实施进度-费用和实施质量优化模型及进度-费用-质量联合折衷模型.采用随机模拟技术通过Monte Carlo仿真给出了项目实施风险的概率估计,并利用嵌入PERT的基于随机模拟的遗传算法对模型进行求解.最后通过算例验证了文中提出的模型的合理性和算法的有效性,为企业ERP实施方案的规划提供了可靠的方法.
In order to solve the uncertain optimization problems of time, cost and quality existing in the project implementation process of enterprise resource planning （ERP）, the program evaluation and review technique （PERT） is employed to establish the optimization models of the implementation schedule, the implementation schedule-cost tradeoff, the implementation quality and the implementation schedule-cost-quality tradeoff. Then, the risk probability of project implementation is estimated via the Monte Carlo simulation. Moreover, a PERT-embedded genetic algorithm based on the stochastic simulation technique is introduced to solve the proposed models. It is demonstrated by an example that the proposed models and algorithm are reasonable and effective, and are reliable for the programming of ERP project implementation.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2008年第9期64-70,共7页
Journal of South China University of Technology(Natural Science Edition)
基金
国家"863"/CIMS主题资助项目(2003AA413210)
关键词
项目管理
企业资源计划
机会约束规划
计划评审技术
遗传算法
project management
enterprise resource planning
chance-constrained programming
program evaluation and review technique
genetic algorithm
