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An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment

Author

Listed:
  • Miguel Angel Ortiz Barrios

    (Universidad de la Costa, Department of Industrial Engineering, 58th Street # 55 - 66 Barranquilla, Colombia)

  • Fabio De Felice

    (University of Cassino and Southern Lazio, Department of Civil and Mechanical Engineering, G. Di Biasio 43 Cassino, 03043, Italy)

  • Kevin Parra Negrete

    (Universidad de la Costa, Department of Industrial Engineering, 58th Street # 55 - 66 Barranquilla, Colombia)

  • Brandon Aleman Romero

    (Universidad de la Costa, Department of Industrial Engineering, 58th Street # 55 - 66 Barranquilla, Colombia)

  • Adriana Yaruro Arenas

    (Universidad de la Costa, Department of Industrial Engineering, 58th Street # 55 - 66 Barranquilla, Colombia)

  • Antonella Petrillo

    (University of Naples Parthenope, Department of Engineering, Isola C4 Centro Direzionale Napoli Napoli, 80143, Italy)

Abstract

Selecting a suitable Multi Criteria Decision-Making (MCDM) method is a crucial step in selecting appropriate medical equipment. The aim of the research is to define the most appropriate tomography equipment through the integration of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. A hybrid model is presented. The AHP is used to define the weights of each criterion and sub-criterion through qualitative comparisons. Then, TOPSIS is used to evaluate the purchase options. This research provides decision makers with a scientific and rigorous decision support system useful in strategic and complex decision. A numerical example is also presented.

Suggested Citation

  • Miguel Angel Ortiz Barrios & Fabio De Felice & Kevin Parra Negrete & Brandon Aleman Romero & Adriana Yaruro Arenas & Antonella Petrillo, 2016. "An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 861-885, July.
    • Handle: RePEc:wsi:ijitdm:v:15:y:2016:i:04:n:s021962201640006x
    DOI: 10.1142/S021962201640006X
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    References listed on IDEAS

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    1. Maarten Ijzerman & Janine Til & John Bridges, 2012. "A Comparison of Analytic Hierarchy Process and Conjoint Analysis Methods in Assessing Treatment Alternatives for Stroke Rehabilitation," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(1), pages 45-56, March.
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    4. TAVANA, Madjid & HATAMI-MARBINI, Adel, 2011. "A group AHP-TOPSIS framework for human spaceflight mission planning at NASA," LIDAM Reprints CORE 2362, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Cited by:

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    2. Zhexuan Zhou & Yajie Dou & Tianjun Liao & Yuejin Tan, 2018. "A Preference Model for Supplier Selection Based on Hesitant Fuzzy Sets," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    3. Chia-Nan Wang & Chao-Fen Pan & Hoang-Phu Nguyen & Pei-Chun Fang, 2023. "Integrating Fuzzy AHP and TOPSIS Methods to Evaluate Operation Efficiency of Daycare Centers," Mathematics, MDPI, vol. 11(8), pages 1-16, April.
    4. Sema Akin Bas, 2024. "A Hybrid Approach Based on Consensus Decision Making for Green Supplier Selection in Automotive Industry," Sustainability, MDPI, vol. 16(7), pages 1-29, April.
    5. Miguel Ortiz-Barrios & Juan Cabarcas-Reyes & Alessio Ishizaka & Maria Barbati & Natalia Jaramillo-Rueda & Giovani Jesús Carrascal-Zambrano, 2021. "A hybrid fuzzy multi-criteria decision making model for selecting a sustainable supplier of forklift filters: a case study from the mining industry," Annals of Operations Research, Springer, vol. 307(1), pages 443-481, December.
    6. Ivan Ligardo-Herrera & Tomás Gómez-Navarro & Hannia Gonzalez-Urango, 2019. "Application of the ANP to the prioritization of project stakeholders in the context of responsible research and innovation," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(3), pages 679-701, September.

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