Title :
Statistical analyses for simulating schedule networks
Author :
Lee, Dong-Eun ; Shi, Jonathan Jingsheng
Author_Institution :
Dept. of Civil & Archit. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
This paper introduces the stochastic project scheduling simulation (SPSS) system and two additional useful statistical analysis tools. SPSS integrates CPM, PERT, and discrete event simulation (DES) scheduling methods into one system. It can generate a CPM-based deterministic schedule, a PERT-based probabilistic schedule, and a simulation-based stochastic schedule for the project under study. Two additional statistical analysis tools are added to assist users in determining the number of simulation runs needed for a given schedule network and testing the significance of difference between two independent simulation experiments.
Keywords :
PERT; critical path analysis; discrete event simulation; scheduling; statistical analysis; stochastic processes; CPM-based deterministic schedule; PERT-based probabilistic schedule; discrete event simulation scheduling; schedule network; simulation runs; simulation-based stochastic schedule; statistical analysis; stochastic project scheduling simulation system; Analytical models; Computational modeling; Computer networks; Discrete event simulation; Probability; Processor scheduling; Statistical analysis; Stochastic processes; Stochastic systems; Testing;
Conference_Titel :
Simulation Conference, 2004. Proceedings of the 2004 Winter
Print_ISBN :
0-7803-8786-4
DOI :
10.1109/WSC.2004.1371461