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Temple Dental School Uses an Expert System to Schedule Students' Clinical Rotations

Author

Listed:
  • Titus K. L. Schleyer

    (Temple University School of Dentistry, 3223 N Broad Street TU 600-00, Philadelphia, Pennsylvania 19140)

Abstract

Each semester, Temple University School of Dentistry must develop a complex schedule for students' clinical rotations in seven clinics. The schedule must satisfy several demands: clinics have to be adequately staffed, students need time off for lectures and treating patients, and each student should serve approximately the same number of rotations over a two-year period. A number of methods are available to solve scheduling problems such as this. They range from simple rules and linear programming to custom-coded algorithms and expert systems. The many, sometimes conflicting requirements of the schedules at Temple Dental School made using mathematical or algorithmic methods difficult. I developed a scheduler in a rule-based artificial intelligence language (Prolog) to generate schedules that satisfy all user requirements. It has resulted in yearly savings of 11 to 19 person-days for programming and schedule development.

Suggested Citation

  • Titus K. L. Schleyer, 1994. "Temple Dental School Uses an Expert System to Schedule Students' Clinical Rotations," Interfaces, INFORMS, vol. 24(5), pages 13-21, October.
    • Handle: RePEc:inm:orinte:v:24:y:1994:i:5:p:13-21
    DOI: 10.1287/inte.24.5.13
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