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R&D project portfolio selection using the Iterative Trichotomic Approach in order to study how subjectivity of the weights is reflected in the selected projects of the final portfolio

Author

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  • George Mavrotas

    (National Technical University of Athens)

  • Evangelos Makryvelios

    (National Technical University of Athens)

Abstract

Project portfolio selection is a common problem in modern organizations. The allocation of resources to projects taking into account (a) the multi-criteria evaluation of projects and (b) the policy requirements for the final portfolio, is often addressed with a combination of multi-criteria analysis for the evaluation part and integer programming for the optimization part. However, the final portfolio is sensitive to changes in the importance of criteria, due to the multi-criteria evaluation of the projects which is the driver of the optimization. In the proposed approach, we take into account the inherent subjectivity expressed in the weights of criteria using a variation of the Iterative Trichotomic Approach method (Mavrotas and Pechak in Int J Mult Criteria Decis Mak 3:79–97, 2013). Specifically, we use an iterative process that starts considering portfolios that emerge from optimizing separately each criterion and gradually converging to the original set of criteria weights. The additional information provided to the decision maker by the proposed method, is that she/he can realize if the selection or exclusion of a specific project in the final portfolio is objective or it depends on the subjective weights and to what extent, while the conventional MCDA-IP approach does not differentiate the selected projects according to the imposed degree of subjectivity. The method is illustrated with a real data application from a project portfolio selection problem in Greece with 540 R&D projects that have to follow sectoral and geographical constraints.

Suggested Citation

  • George Mavrotas & Evangelos Makryvelios, 2023. "R&D project portfolio selection using the Iterative Trichotomic Approach in order to study how subjectivity of the weights is reflected in the selected projects of the final portfolio," Operational Research, Springer, vol. 23(3), pages 1-18, September.
  • Handle: RePEc:spr:operea:v:23:y:2023:i:3:d:10.1007_s12351-023-00785-7
    DOI: 10.1007/s12351-023-00785-7
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    References listed on IDEAS

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    1. Oral, Muhittin & Kettani, Ossama & Cinar, Unver, 2001. "Project evaluation and selection in a network of collaboration: A consensual disaggregation multi-criterion approach," European Journal of Operational Research, Elsevier, vol. 130(2), pages 332-346, April.
    2. George Mavrotas & Olena Pechak, 2013. "The trichotomic approach for dealing with uncertainty in project portfolio selection: combining MCDA, mathematical programming and Monte Carlo simulation," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 3(1), pages 79-96.
    3. Mavrotas, G. & Diakoulaki, D. & Caloghirou, Y., 2006. "Project prioritization under policy restrictions. A combination of MCDA with 0-1 programming," European Journal of Operational Research, Elsevier, vol. 171(1), pages 296-308, May.
    4. McKenna, R. & Bertsch, V. & Mainzer, K. & Fichtner, W., 2018. "Combining local preferences with multi-criteria decision analysis and linear optimization to develop feasible energy concepts in small communities," European Journal of Operational Research, Elsevier, vol. 268(3), pages 1092-1110.
    5. Zanakis, Stelios H. & Mandakovic, Tomislav & Gupta, Sushil K. & Sahay, Sundeep & Hong, Sungwan, 1995. "A review of program evaluation and fund allocation methods within the service and government sectors," Socio-Economic Planning Sciences, Elsevier, vol. 29(1), pages 59-79, March.
    6. Al-Husain, Raed & Khorramshahgol, Reza, 2020. "Incorporating analytical hierarchy process and goal programming to design responsive and efficient supply chains," Operations Research Perspectives, Elsevier, vol. 7(C).
    7. Abu-Taleb, Maher F. & Mareschal, Bertrand, 1995. "Water resources planning in the Middle East: Application of the PROMETHEE V multicriteria method," European Journal of Operational Research, Elsevier, vol. 81(3), pages 500-511, March.
    8. Mavrotas, George & Makryvelios, Evangelos, 2021. "Combining multiple criteria analysis, mathematical programming and Monte Carlo simulation to tackle uncertainty in Research and Development project portfolio selection: A case study from Greece," European Journal of Operational Research, Elsevier, vol. 291(2), pages 794-806.
    9. Cook, Wade D. & Green, Rodney H., 2000. "Project prioritization: a resource-constrained data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 34(2), pages 85-99, June.
    10. Marla, Lavanya & Rikun, Alexander & Stauffer, Gautier & Pratsini, Eleni, 2020. "Robust modeling and planning: Insights from three industrial applications," Operations Research Perspectives, Elsevier, vol. 7(C).
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