Data truncation is a commonly accepted method of dealing with initialization bias in discrete-event simulation. An algorithm for determining the appropriate initial-data truncation point for ...

Concepts from software engineering and knowledge engineering are incorporated into discrete, next-event simulation. The existing, conventional world-view utilized within discrete simulation is ...

Fuzzy discrete event systems (FDESs) represent an important evolution of traditional discrete event systems by integrating fuzzy logic to cope with vagueness and imprecision inherent in real‐world ...

Based on presentation to IEEE's 2010 Winter Simulation Conference, Baltimore, Dec. 5-8, 2010. A discrete-event simulation technique, combined with optimization tools, permits easy management of ...

This course is available on the BSc in Accounting and Finance, BSc in Data Science, BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Management, BSc in Mathematics and ...