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A Survey of Management Science in University Operations


  • Roger G. Schroeder

    (Graduate School of Business Administration, University of Minnesota)


This survey discusses applications and research of the Management Sciences in institutions of higher education. It includes four specific areas: (1) Planning, Programming and Budgeting Systems, (2) Management Information Systems, (3) Resource Allocation Models, and (4) Mathematical Models. In each of these areas, the major trends and literature are discussed along with numerous references. The survey also provides an integration and synthesis of the recent work from both published and unpublished reports. We conclude with four specific problem areas which are evidently in need of further attention. These areas are (1) stability and suitability of various student flow projections, (2) investigation of decision making processes and the information which should be used, (3) measurement of outputs, and (4) alternative approaches to improve planning methodology.

Suggested Citation

  • Roger G. Schroeder, 1973. "A Survey of Management Science in University Operations," Management Science, INFORMS, vol. 19(8), pages 895-906, April.
  • Handle: RePEc:inm:ormnsc:v:19:y:1973:i:8:p:895-906

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    Cited by:

    1. Urban, Glen L. & Neslin, Scott A., 1976. "The design and marketing of new educational programs," Working papers 873-76., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Mustafa, A. & Goh, M., 1996. "Multi-criterion models for higher education administration," Omega, Elsevier, vol. 24(2), pages 167-178, April.
    3. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    4. Moore, James S, 1998. "An Expert System Approach to Graduate School Admission Decisions and Academic Performance Prediction," Omega, Elsevier, vol. 26(5), pages 659-670, October.
    5. Pal, Bijay Baran & Nath Moitra, Bhola, 2003. "A goal programming procedure for solving problems with multiple fuzzy goals using dynamic programming," European Journal of Operational Research, Elsevier, vol. 144(3), pages 480-491, February.

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