Abstract
Strategic capacity planning is generally done using static mathematical analysis. Simulation of operational scenarios during capacity planning provides more insights into the real system behavior. This ensures better preparedness to handle operations. This case study demonstrates the benefits of discrete event Monte-Carlo simulation of business process over simple mathematical analysis for capacity planning.
Recommended Citation
Kumar, Manish and Bhat, Jyoti, "Discrete Event Monte-Carlo Simulation of Business Process for Capacity Planning: A Case Study" (2009). PACIS 2009 Proceedings. 60.
https://aisel.aisnet.org/pacis2009/60
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