Job shop configuration optimization at Tinker Air Force Base

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dc.contributor.authorL. Leemis
dc.contributor.authorA. Badiru
dc.contributor.authorB.L. Foote
dc.contributor.authorA. Ravindran
dc.contributor.authorLarry Williams
dc.date.accessioned2016-01-14T19:52:46Z
dc.date.accessioned2016-03-30T15:35:09Z
dc.date.available2016-01-14T19:52:46Z
dc.date.available2016-03-30T15:35:09Z
dc.date.issued1990-06-01
dc.description.abstractThis paper discusses a large simulation model that was developed to aid the reconstruc tion efforts after a disastrous fire at Tinker Air Force Base. The model, developed in SLAM, facilitated the analysis and efficient design of the functional layout that replaced the previous machine-based layout in the appropriate number of machines to place within a modular repair center (MRC), stacker capacity for in-process inventory, location of elevators for sending parts to the conveyor, and the optimal design and routing scheme for overhead conveyor system. The new layout, as predicted by the simulation model, has proven to be quite effective compared with the pre fire layout. Improvements that have been achieved include a 50 to 80% decrease in material handling, substantive decrease in flow times, better manage ment control of part transfers, $4.3 million savings from the elimination of excess capacity, and $1.8 million savings resulting from higher direct labor efficiency.en_US
dc.description.peerreviewYesen_US
dc.description.peerreviewnoteshttps://us.sagepub.com/en-us/nam/manuscript-submission-guidelinesen_US
dc.identifier.citationLeemis, L., Badiru, A., Foote, B. L., Ravindran, A., & Williams, L. (1990). Job shop configuration optimization at Tinker Air Force Base. SIMULATION, 54(6), 287-290. doi: 10.1177/003754979005400606en_US
dc.identifier.doi10.1177/003754979005400606en_US
dc.identifier.urihttp://hdl.handle.net/11244/24892
dc.language.isoen_USen_US
dc.publisherSIMULATION
dc.rights.requestablefalseen_US
dc.titleJob shop configuration optimization at Tinker Air Force Baseen_US
dc.typeResearch Articleen_US

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