Abstract:

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.

Key words: project management, enterprise resource planning, chance-constrained programming, program evaluation and review technique, genetic algorithm