Allocation of college students to business majors with the aid of a linear programming model

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
PublisherIEEE Computer Society
Pages534-538
Number of pages5
ISBN (Electronic)9781538609484
DOIs
Publication statusPublished - Jul 2 2017
Event2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore
Duration: Dec 10 2017Dec 13 2017

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2017-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Other

Other2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Country/TerritorySingapore
CitySingapore
Period12/10/1712/13/17

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

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