Enterprise resource planning implementation decision & optimization models

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 schedul...

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Bibliographic Details
Published in:Journal of systems engineering and electronics 2008-06, Vol.19 (3), p.513-521
Main Authors: Shaojun, Wang, Gang, Wang, Min, Lu, Guoan, Gao
Format: Article
Language:English
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Summary: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.
ISSN:1004-4132
1004-4132
DOI:10.1016/S1004-4132(08)60115-2