Enterprise resource planning implementation decision & optimization models
Enterprise resource planning implementation decision & optimization models作者机构:Gao Guoan Advanced Manufacturing Technology Center Harbin Inst. of Technology Harbin 150001 P. R. China
出 版 物:《Journal of Systems Engineering and Electronics》 (系统工程与电子技术(英文版))
年 卷 期:2008年第19卷第3期
页 面:513-521页
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:the National High-Tech. R & D Program for CIMS China (2003AA413210)
主 题:optimization model ERP chance-constrained programming PERT genetic algorithm time cost,quality.
摘 要:To study the uncertain optimization problems on implementation schedule, time-cost trade-off and quality in enterprise resource planning (ERP) implementation, combined with program evaluation and review technique (PERT), some optimization models are proposed, which include the implementation schedule model, the timecost trade-off model, the quality model, and the implementation time-cost-quality synthetic optimization model. A PERT-embedded genetic algorithm (GA) based on stochastic simulation technique is introduced to the optimization models solution. Finally, an example is presented to show that the models and algorithm are reasonable and effective, which can offer a reliable quantitative decision method for ERP implementation.