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Goal programming and constrained regression--A comment

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  • Charnes, A
  • Cooper, WW

Abstract

Goal programming was originated to obtain "constrained regression" estimates for an executive compensation formula which would conform to an organization hierarchy and other company policies prescribed by management. A subsequent history in that context is traced through other uses in personnel planning and in organization designs. Applications to planning advertising strategies are also examined which extend to uses of goal programming that involve fitting frequency functions under a variety of constraints. Finally this is all related to the initial and continuing research on the statistical properties of these estimates.

Suggested Citation

  • Charnes, A & Cooper, WW, 1975. "Goal programming and constrained regression--A comment," Omega, Elsevier, vol. 3(4), pages 403-409, August.
    • Handle: RePEc:eee:jomega:v:3:y:1975:i:4:p:403-409
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    Cited by:

    1. Charnes, Abraham & Gallegos, Armando & Li, Hongyu, 1996. "Robustly efficient parametric frontiers via Multiplicative DEA for domestic and international operations of the Latin American airline industry," European Journal of Operational Research, Elsevier, vol. 88(3), pages 525-536, February.
    2. Karlaftis, Matthew G., 2004. "A DEA approach for evaluating the efficiency and effectiveness of urban transit systems," European Journal of Operational Research, Elsevier, vol. 152(2), pages 354-364, January.
    3. Karlaftis, Matthew G., 2003. "Investigating transit production and performance: a programming approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(3), pages 225-240, March.
    4. Glover, Fred & Sueyoshi, Toshiyuki, 2009. "Contributions of Professor William W. Cooper in Operations Research and Management Science," European Journal of Operational Research, Elsevier, vol. 197(1), pages 1-16, August.
    5. Sun, Minghe, 2002. "A multiple objective programming approach for determining faculty salary equity adjustments," European Journal of Operational Research, Elsevier, vol. 138(2), pages 302-319, April.

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