Publication:
U.S. Marine communication-electronics school training process: discrete event simulation and lean options

dc.contributor.advisorHeath, Susan
dc.contributor.advisorSimon, Cary
dc.contributor.advisorSummers, Don
dc.contributor.authorNeu, Charles R.
dc.contributor.authorSmith, William R.
dc.contributor.authorDavenport, Jon
dc.contributor.corporateNaval Postgraduate School
dc.dateDecember 2007
dc.date.accessioned2012-08-22T15:31:37Z
dc.date.available2012-08-22T15:31:37Z
dc.date.issued2007-12
dc.descriptionMBA Professional Reporten_US
dc.description.abstractThis paper uses discrete-event simulation modeling, inventory-reduction, and process improvement concepts to identify and analyze possibilities for improving the training continuum at the Marine Corps Communication-Electronics School (MCCES), specifically in terms of reducing adverse effects of lost-time spent in the Marines Awaiting Training (MAT) Platoon queue. Every possible improvement that the local commander could make without spending any capital was tested using the Process Analyzer Function (PAN) in Arena. The researchers also tested increasing the number of instructors up to the quantity authorized. Potential effects on the MCCES operating budget are offered, i.e., a cost-benefit analysis based on average salaries was conducted with recommendations for making the training system more efficient while examining potential changes to reduce costs. The premise of the study is that Marines Awaiting Training (MAT) are potential warfighters not gaining value-added training nor benefiting the Marine Corps when waiting in a queue to begin Military Occupational Specialty (MOS) training, i.e., adversely affecting Fleet Marine Forces operational readiness. The study coincides with current emphasis on reducing the Training, Transients, Patients, and Prisoners (T2P2) account. The researchers determined that changing from the present MCCES process of scheduling classes to an on-demand scheduling method, and, in some MOSs, changes to the minimum and maximum class sizes and the number of instructors, would result in a reduction in the average days spent in MAT and the average number of Marines in MAT. By utilizing all recommendations, the researchers identified a potential value savings in terms of salary of $1 1.6 million and a potential cost savings to the barracks and base support costs of $1 .9 million.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.recognitionOutstanding Thesisen_US
dc.description.urihttp://archive.org/details/usmarinecommunic1094510217
dc.format.extentxvi, 95 p. ; 28 cm.en_US
dc.identifier.urihttps://hdl.handle.net/10945/10217
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.relation.ispartofseriesNPS Outstanding Theses and Dissertations
dc.rightsThis publication is a work of the U.S. Government as defined
in Title 17, United States Code, Section 101. As such, it is in the
public domain, and under the provisions of Title 17, United States
Code, Section 105, is not copyrighted in the U.S.en_US
dc.subject.authorQueuing Theoryen_US
dc.subject.authorLeanen_US
dc.subject.authorTheory of Constraintsen_US
dc.subject.authorTrainingen_US
dc.subject.authorSchedulingen_US
dc.subject.authorMarine Corps Communicationselectronics Schoolen_US
dc.subject.authorLittle's Lawen_US
dc.subject.authorActivity-based Costingen_US
dc.subject.authorProcess Improvementen_US
dc.subject.authorSimulation and Modelingen_US
dc.subject.authorCost-benefit Analysisen_US
dc.subject.lcshModeling.en_US
dc.titleU.S. Marine communication-electronics school training process: discrete event simulation and lean optionsen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineBusiness Administrationen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameMaster of Business Administrationen_US
relation.isSeriesOfPublicationc5e66392-520c-4aaf-9b4f-370ce82b601f
relation.isSeriesOfPublication.latestForDiscoveryc5e66392-520c-4aaf-9b4f-370ce82b601f
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