A sequence step algorithm (SQS-AL) is an algorithm implemented in a discrete event simulation system to maximize resource utilization.[1] This is achieved by running through two main nested loops: A sequence step loop and a replication loop. For each sequence step, each replication loop is a simulation run that collects crew idle time for activities in that sequence step. The collected crew idle times are then used to determine resource arrival dates for user-specified confidence levels. The process of collecting the crew idle times and determining crew arrival times for activities on a considered sequence step is repeated from the first to the last sequence step.[2]
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Transcription
See also
References
- ^ Srisuwanrat, Chachrist (2009). The Sequence Step Algorithm A Simulation-Based Scheduling Algorithm for Repetitive Projects with Probabilistic Activity Durations (Thesis thesis). hdl:2027.42/62300.
- ^ Chachrist Srisuwanrat; Photios G. Ioannou (24 October 2007). "The Investigation of Lead-Time Buffering under Uncertainty Using Simulation and Cost Optimization" (PDF). Archived from the original (PDF) on 24 October 2007. Retrieved 19 June 2023.
Further reading
- Photios G. Ioannou and Chachrist Srisuwanrat Sequence Step Algorithm for Continuous Resource Utilization in Probabilistic Repetitive Projects
- Chachrist Srisuwanrat; Photios G. Ioannou (24 October 2007). "The Investigation of Lead-Time Buffering under Uncertainty Using Simulation and Cost Optimization" (PDF). Archived from the original (PDF) on 24 October 2007. Retrieved 19 June 2023.
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This page was last edited on 19 June 2023, at 06:19