File:Optimally scheduling instructors at the Defense Language Institute- an integer programming approach (IA optimallyschedul1094539964).pdf
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Summary
editOptimally scheduling instructors at the Defense Language Institute: an integer programming approach
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| Author |
Kunzman, David S. |
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| Title |
Optimally scheduling instructors at the Defense Language Institute: an integer programming approach |
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| Publisher |
Monterey, California. Naval Postgraduate School |
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| Description |
The Defense Language Institute (DLI) teaches various levels of foreign language competency to Department of Defense personnel. It currently offers 104 courses ranging in length from 2 to 63 weeks in 23 languages. There is a mandated instructor-to-student ratio, which determines the number of sections of each course that must be taught each year. This thesis develops linear integer programs to decide when to start each section of each course. The primary objective guiding the integer programs is the minimization of the full- time staff of instructors required to meet the next three years' projected student input. Secondary objectives are used to improve the face validity of the models' recommendations. When compared with manual methods, decisions developed using the models are superior to current decisions for all measures of effectiveness considered, and they provide DLI with a savings opportunity in excess of $6.5 million over the next three years. Subjects: Linear integer program; Defense Language Institute (DLI); Master schedule; Instructor year |
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| Language | English | |
| Publication date | September 1993 | |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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| Accession number |
optimallyschedul1094539964 |
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| Source | ||
| Permission (Reusing this file) |
This 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, may not be copyrighted. | |
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 14:29, 23 July 2020 |  | 1,275 × 1,650, 58 pages (1.85 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection optimallyschedul1094539964 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #24028) |
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