Team 5: Sequential Screening for Organizational Performance
| dc.contributor.author | Oh, Regine Pei Tze | |
| dc.contributor.author | Sanchez, Susan M. | |
| dc.contributor.author | Clites, Lawton | |
| dc.contributor.author | Kaiyang, Toh | |
| dc.contributor.corporate | SEED Center for Data Farming (Simulation Experiments & Efficient Designs) | |
| dc.date | March 2009 | |
| dc.date.accessioned | 2013-08-28T23:11:03Z | |
| dc.date.available | 2013-08-28T23:11:03Z | |
| dc.date.issued | 2009-03 | |
| dc.description | from Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 6 Workshop 18 | en_US |
| dc.description.abstract | Fractional Factorial Controlled Sequential Bifurcation (FFCSB) is a newly proposed two-phase screening procedure for large-scale simulation experiments. Sequential screening algorithms inform the decision maker of critical factors in their simulation models and optimize the use of computation resources in studying only critical factors. At IDFW15, FFCSB is applied to the Hierarchy organizational model, which serves as a benchmark to compare innovative Command and Control (C2) structures for enabling more effective warfare. The model is developed in Projects, Organizations and Work for Edge Research, which crystallizes two decades of collaborative research between the Naval Postgraduate School (NPS) and Stanford University | en_US |
| dc.identifier.uri | https://hdl.handle.net/10945/35630 | |
| dc.relation.ispartofseries | Proceedings and Bulletin of the International Data Farming Community | |
| dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | en_US |
| dc.title | Team 5: Sequential Screening for Organizational Performance | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | 7df39512-8713-4580-b6cf-f0406d3bdf70 | |
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