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An Integrated Optimization/Information System for Academic Departmental Planning

Author

Listed:
  • James S. Dyer

    (University of California, Los Angeles)

  • John M. Mulvey

    (Harvard University)

Abstract

This paper describes the integration of a network optimization algorithm with a decision and information system for the Graduate School of Management at UCLA. This optimization algorithm plays an important role in the determination of the annual teaching schedule by assigning faculty to courses and other activities on the basis of their responses to course preference questionnaires. In addition, the network structure provides an ideal framework for a compact information system for the department. The system can also provide some assistance in determining faculty recruiting priorities or in studying the impacts of changes in student enrollments. Our actual experiences in implementing and using this system are described.

Suggested Citation

  • James S. Dyer & John M. Mulvey, 1976. "An Integrated Optimization/Information System for Academic Departmental Planning," Management Science, INFORMS, vol. 22(12), pages 1332-1341, August.
  • Handle: RePEc:inm:ormnsc:v:22:y:1976:i:12:p:1332-1341
    DOI: 10.1287/mnsc.22.12.1332
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    Cited by:

    1. Geiger, Martin Josef & Wenger, Wolf, 2010. "On the assignment of students to topics: A Variable Neighborhood Search approach," Socio-Economic Planning Sciences, Elsevier, vol. 44(1), pages 25-34, March.
    2. Badri, Masood A., 1996. "A two-stage multiobjective scheduling model for [faculty-course-time] assignments," European Journal of Operational Research, Elsevier, vol. 94(1), pages 16-28, October.
    3. Drexl, Andreas & Juretzka, Jan & Salewski, Frank, 1993. "Academic course scheduling under workload and changeover constraints," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 337, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Al-Yakoob, Salem M. & Sherali, Hanif D., 2007. "A mixed-integer programming approach to a class timetabling problem: A case study with gender policies and traffic considerations," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1028-1044, August.
    5. Caselli, Giulia & Delorme, Maxence & Iori, Manuel, 2022. "Integer linear programming for the Tutor Allocation Problem : A practical case in a British University," Other publications TiSEM 983593a6-c17d-4b87-8ee1-a, Tilburg University, School of Economics and Management.
    6. Partovi, Fariborz Y. & Arinze, Bay, 1995. "A knowledge based approach to the faculty-course assignment problem," Socio-Economic Planning Sciences, Elsevier, vol. 29(3), pages 245-256, September.

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