Accession Number : ADA141217

Title :   An Improved Missile Combat Crew Scheduling System Using the Simulation Language for Alternative Modeling (SLAM).

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s) : Berg,D H ; Nuss,R G

PDF Url : ADA141217

Report Date : Mar 1984

Pagination or Media Count : 217

Abstract : A missile combat crew scheduling program was developed using the SLAM simulation language. The program schedules missile combat crew members for alerts, training, and leave. The program was designed to build monthly schedules for a three-squadron strategic missile wing. A performance measure was developed to evaluate alternative schedules that were developed by the program. The measure was developed by using Multi-Criteria Decision Theory techniques and alternatives were compared using response surface methodology. The performance measure is general in nature and can be modified to apply to any decision maker. Analysis was conducted to determine the best internal factor settings for the program for a given performance measure. These internal factor settings are used to determine the next crew selected for alert. Sensitivity analyses were conducted that include evaluating two additional performance measures, adding an assumed leave distribution, and changing the structure of the crew force. The program develops feasible monthly schedules that meet the performance criteria. The internal factors were found to be robust across all three performance measures examined. (Author)

Descriptors :   *Guided missile personnel, *Scheduling, *Manpower utilization, Computer programs, Air Force operations, Air Force training, Combat readiness, Crews, Control centers, Launching, Strategic weapons, Allocations, Optimization, Sensitivity, Decision theory, Computerized simulation, Simulation languages, Theses

Subject Categories : Humanities and History
      Computer Programming and Software
      Guided Missile Launching and Basing Support

Distribution Statement : APPROVED FOR PUBLIC RELEASE