Abstract
The problem of assigning business students to program majors in a Middle Eastern College is considered in this study. An important characteristic that usually appears in this problem is a high variation in the demand for different programs. The allocation method currently used by the College is evaluated, in terms of overall satisfaction of student program preferences, by comparison with optimal allocations obtained from a linear programming formulation. The evaluation demonstrates the current method to be effective in assigning high-GPA students to their first choice programs, yet mediocre in overall satisfaction of the student preferences. Consequently, a hybrid approach that combines the current method with a linear programming model is proposed and analyzed. The results show that the hybridized method provides a solution that successfully integrates the strengths of the LP solution with the currently used method.
| Original language | English |
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| Title of host publication | 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 |
| Publisher | IEEE Computer Society |
| Pages | 534-538 |
| Number of pages | 5 |
| Volume | 2017-December |
| ISBN (Electronic) | 9781538609484 |
| DOIs | |
| Publication status | Published - Feb 9 2018 |
| Event | 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore Duration: Dec 10 2017 → Dec 13 2017 |
Other
| Other | 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 12/10/17 → 12/13/17 |
Keywords
- assignment problem
- decision analysis
- linear programming
- service level
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Industrial and Manufacturing Engineering
- Safety, Risk, Reliability and Quality