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A survey of goal programming

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  • Kornbluth, Jsh

Abstract

In this paper the applications of goal programming to industrial and economic planning are reviewed, and it is shown how the linear programming framework can be extended to include a series of goals (or objectives). A planning method is suggested in which the decision maker is presented with a list of all the possible attainable goals from which he picks the most appropriate set.

Suggested Citation

  • Kornbluth, Jsh, 1973. "A survey of goal programming," Omega, Elsevier, vol. 1(2), pages 193-205, April.
    • Handle: RePEc:eee:jomega:v:1:y:1973:i:2:p:193-205
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    Cited by:

    1. Thierry Benoist & Frédéric Gardi & Antoine Jeanjean, 2012. "Lessons Learned from 15 Years of Operations Research for French TV Channel TF1," Interfaces, INFORMS, vol. 42(6), pages 577-584, December.
    2. Baker, Justin S. & Rossi, David & Abt, Robert, 2022. "Quantifying Additionality Thresholds for Forest Carbon Offsets," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322510, Agricultural and Applied Economics Association.
    3. M Larbani & B Aouni, 2011. "A new approach for generating efficient solutions within the goal programming model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 175-182, January.
    4. 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.
    5. Animesh Biswas & Shyamali Dewan, 2012. "Priority based fuzzy goal programming technique to fractional fuzzy goals using dynamic programming," Fuzzy Information and Engineering, Springer, vol. 4(2), pages 165-180, June.
    6. Rossi, David J. & Baker, Justin S. & Abt, Robert C., 2023. "Quantifying additionality thresholds for forest carbon offsets in Mississippi pine pulpwood markets," Forest Policy and Economics, Elsevier, vol. 156(C).

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