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AHPSort-GAIA: a visualisation tool for the sorting of alternative in AHP portrayed through a case in the food and drink industry

Author

Listed:
  • Alessio Ishizaka

    (NEOMA Business School)

  • Vijay Pereira

    (NEOMA Business School)

  • Sajid Siraj

    (Leeds University Business School)

Abstract

Although Multi-criteria Decision Making methods have been extensively used for choice problems, their descriptive use has rarely been considered. The descriptive component is important because it allows decision makers to better understand the problem. In this paper, we add the descriptive method GAIA as an extension to the AHPSort method that helps policy makers to gain insights into their decision problems, through the portraying of a case in the food and drink industry. This descriptive component is implemented as a visual analysis. The proposed extension has been implemented in an open-source software tool that allows users to visualise the different performances of food suppliers within a review process and provide feedback for improvements within the food and drink industry.

Suggested Citation

  • Alessio Ishizaka & Vijay Pereira & Sajid Siraj, 2025. "AHPSort-GAIA: a visualisation tool for the sorting of alternative in AHP portrayed through a case in the food and drink industry," Annals of Operations Research, Springer, vol. 354(2), pages 827-842, November.
    • Handle: RePEc:spr:annopr:v:354:y:2025:i:2:d:10.1007_s10479-021-04082-4
    DOI: 10.1007/s10479-021-04082-4
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