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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kolonja, B. Kalasky, D.R. Mutmansky, J.M. |
| Copyright Year | 1993 |
| Description | Author affiliation: University of Belgrade, Yugoslavia (Kolonja, B.) |
| Abstract | This paper considers simulation of truck dispatching system designs using maximum expected production of the truck-shovel system as the measure of performance. Two methods are utilized, multiple comparisons with the best (MCB) and the combination of MCB and the variance reduction technique known as common random numbers (CRN). These two techniques are compared via simulation experiments. The results show that the combined procedure of MCB with CRN is the superior tool to reduce the total number of replications needed to ensure the specified probability of correct selection over the finite number of designing systems. In this case study, MCB with CRN reduces the variance by 29% the number of required replications by 48%. Also, the MCB with CRN procedure narrowed the confidence interval by 18%. |
| Starting Page | 393 |
| Ending Page | 401 |
| File Size | 670134 |
| Page Count | 9 |
| File Format | |
| ISBN | 078031381X |
| DOI | 10.1109/WSC.1993.718077 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-12-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Design optimization Dispatching Analytical models Modeling Production systems Ores Computers Productivity Monitoring Routing |
| Content Type | Text |
| Resource Type | Article |
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