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A new approach for generating efficient solutions within the goal programming model

Author

Listed:
  • M Larbani

    (Kainan University
    IIUM University)

  • B Aouni

    (School of Commerce and Administration)

Abstract

This paper deals with the issue of efficiency in the Goal Programming (GP) model. A general approach for the determination of an efficient solution of GP is presented. An efficiency test for the GP solution is developed; moreover, when this solution is not efficient, an efficient solution that dominates it is determined.

Suggested Citation

  • 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.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:1:d:10.1057_jors.2009.185
    DOI: 10.1057/jors.2009.185
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    References listed on IDEAS

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    6. Tamiz, Mehrdad & Jones, Dylan & Romero, Carlos, 2001. "Comments on properties of the minmax solutions in goal programming - a reply," European Journal of Operational Research, Elsevier, vol. 131(3), pages 685-686, June.
    7. Kornbluth, Jsh, 1973. "A survey of goal programming," Omega, Elsevier, vol. 1(2), pages 193-205, April.
    8. Tamiz, M. & Mirrazavi, S. K. & Jones, D. F., 1999. "Extensions of Pareto efficiency analysis to integer goal programming," Omega, Elsevier, vol. 27(2), pages 179-188, April.
    9. Tamiz, Mehrdad & Jones, Dylan & Romero, Carlos, 1998. "Goal programming for decision making: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 111(3), pages 569-581, December.
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    Cited by:

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    2. Fouad Ben Abdelaziz & Cinzia Colapinto & Davide La Torre & Danilo Liuzzi, 2020. "A stochastic dynamic multiobjective model for sustainable decision making," Annals of Operations Research, Springer, vol. 293(2), pages 539-556, October.
    3. Davide La Torre & Marco Maggis, 2012. "A Goal Programming Model with Satisfaction Function for Risk Management and Optimal Portfolio Diversification," Papers 1201.1783, arXiv.org, revised Sep 2012.
    4. Chowdhury, Md. Maruf Hossan & Quaddus, Mohammed A., 2015. "A multiple objective optimization based QFD approach for efficient resilient strategies to mitigate supply chain vulnerabilities: The case of garment industry of Bangladesh☆,☆☆☆This manuscript was pro," Omega, Elsevier, vol. 57(PA), pages 5-21.
    5. Gang Lin & Honglei Xu & Shaoli Wang & Conghua Lin & Fan Zhang & Junxiang Zhu, 2024. "Navigating Uncertainty: A Framework for Optimising Public Transport Networks’ Performance," Sustainability, MDPI, vol. 16(3), pages 1-23, February.

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