Skip to main content
SpringerLink
Log in

The use of multi-criteria decision-making methods in project portfolio selection: a literature review and future research directions

  • Original Research
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

In most project portfolio selection (PPS) situations, the presence of multiple attributes and decision-maker preference is inevitable. As Multi-criteria Decision Analysis (MCDA) methods provide a framework well-suited to deal with these challenges in PPS problems, the use of MCDA methods in real-life PPS problems has increased in recent years. This paper provides a comprehensive literature review of the use of different MCDA methods and their individual or combined utilization with other modeling techniques to support PPS problems. First, we summarize how MCDA methods are used in different modeling approaches. Second, we examine the mathematical models that are generally used to combine MCDA with mathematical programming techniques to solve PPS problems with resource constraints. Third, we present the drawbacks of combined utilization and discuss recent advances. Finally, we visualize the summary of the reviewed papers as a decision tree to assist researchers and practitioners in the use of MCDA methods in a specific PPS context and propose some future research directions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Ahriz, S., El Yamami, A., Mansouri, K., & Qbadou, M. (2018). Cobit 5-based approach for it project portfolio management: Application to a moroccan university. IJACSA: International Journal of Advanced Computer Science and Applications, 9(4), 88–95.

    Google Scholar 

  • Alvarez, P. A., Ishizaka, A., & Martínez, L. (2021). Multiple-criteria decision-making sorting methods: A survey. Expert Systems with Applications, 183, 115368.

    Google Scholar 

  • Amor, S. B., Belaid, F., Benkraiem, R., Ramdani, B., & Guesmi, K. (2022). Multi-criteria classification, sorting, and clustering: A bibliometric review and research agenda. Annals of Operations Research. https://doi.org/10.1007/s10479-022-04986-9

    Article  Google Scholar 

  • Aragonés-Beltrán, P., Chaparro-González, F., Pastor-Ferrando, J.-P., & Pla-Rubio, A. (2014). An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy, 66, 222–238.

    Google Scholar 

  • Archer, N., & Ghasemzadeh, F. (2004). Project portfolio selection and management. The Wiley Guide to Managing Projects, pp. 237–255.

  • Archer, N., & Ghasemzadeh, F. (2007). Project portfolio selection and management. Morris, P./Pinto, JK (2007), The Wiley Guide to Project, Program & Portfolio Management, pp. 94–112.

  • Baker, E., Bosetti, V., & Salo, A. (2020). Robust portfolio decision analysis: An application to the energy research and development portfolio problem. European Journal of Operational Research.

  • Barbati, M., Greco, S., Kadziński, M., & Słowiński, R. (2018). Optimization of multiple satisfaction levels in portfolio decision analysis. Omega, 78, 192–204.

    Google Scholar 

  • Bhattacharyya, R. (2015). A grey theory based multiple attribute approach for R & D project portfolio selection. Fuzzy Information and Engineering, 7(2), 211–225.

    MathSciNet  Google Scholar 

  • Carazo, A. F., Contreras, I., Gómez, T., & Pérez, F. (2012). A project portfolio selection problem in a group decision-making context. Journal of Industrial & Management Optimization, 8(1), 243–261.

    MathSciNet  Google Scholar 

  • Castillo, L., & Dorao, C. (2013). Decision-making in the oil and gas projects based on game theory: Conceptual process design. Energy Conversion and Management, 66, 48–55.

    Google Scholar 

  • Chang, P.-T., & Lee, J.-H. (2012). A fuzzy DEA and knapsack formulation integrated model for project selection. Computers & Operations Research, 39(1), 112–125.

    MathSciNet  Google Scholar 

  • Cinelli, M., Kadziński, M., Gonzalez, M., & Słowiński, R. (2020). How to support the application of multiple criteria decision analysis? let us start with a comprehensive taxonomy. Omega, 96, 102261.

    Google Scholar 

  • Clemen, R. T., & Smith, J. E. (2009). On the choice of baselines in multiattribute portfolio analysis: A cautionary note. Decision Analysis, 6(4), 256–262.

    Google Scholar 

  • Danesh, D., Ryan, M. J., & Abbasi, A. (2018). Multi-criteria decision-making methods for project portfolio management: A literature review. International Journal of Management and Decision Making, 17(1), 75–94.

    Google Scholar 

  • de Almeida, A. T., & Duarte, M. D. (2011). A multi-criteria decision model for selecting project portfolio with consideration being given to a new concept for synergies. Pesquisa Operacional, 31, 301–318.

    Google Scholar 

  • de Almeida, A. T., & Vetschera, R. (2012). A note on scale transformations in the PROMETHEE V method. European Journal of Operational Research, 219(1), 198–200.

    MathSciNet  Google Scholar 

  • de Almeida, A. T., Vetschera, R., & de Almeida, J. A. (2014a). Scaling issues in additive multicriteria portfolio analysis. In Decision Support Systems III-Impact of Decision Support Systems for Global Environments, pp. 131–140. Springer.

  • de Almeida, J. A., de Almeida, A. T., & Costa, A. P. (2014). Portfolio selection of information systems projects using PROMETHEE V with c-optimal concept. Pesquisa Operacional, 34(2), 275–299.

    Google Scholar 

  • De Souza, D. G. B., dos Santos, E. A., Soma, N. Y., & da Silva, C. E. S. (2021). MCDM-Based R &D Project Selection: A systematic literature review. Sustainability, 13(21), 11626.

    Google Scholar 

  • Debnath, A., Roy, J., Kar, S., Zavadskas, E. K., & Antucheviciene, J. (2017). A hybrid MCDM approach for strategic project portfolio selection of agro by-products. Sustainability, 9(8), 1302.

    Google Scholar 

  • Delouyi, F. L., & Ashrafi, M. (2021). Dynamic portfolio selection in gas transmission projects considering sustainable strategic alignment and project interdependencies through value analysis. Sustainability, 13(10), 5584.

    Google Scholar 

  • Demircan Keskin, F. (2020). A two-stage fuzzy approach for industry 4.0 project portfolio selection within criteria and project interdependencies context. Journal of Multi-Criteria Decision Analysis, 27(1–2), 65–83.

    Google Scholar 

  • Dixit, V., & Tiwari, M. K. (2020). Project portfolio selection and scheduling optimization based on risk measure: A conditional value at risk approach. Annals of Operations Research, 285(1–2), 9–33.

    MathSciNet  Google Scholar 

  • Doerner, K., Gutjahr, W. J., Hartl, R. F., Strauss, C., & Stummer, C. (2004). Pareto ant colony optimization: A metaheuristic approach to multiobjective portfolio selection. Annals of Operations Research, 131(1–4), 79–99.

    MathSciNet  Google Scholar 

  • Eilat, H., Golany, B., & Shtub, A. (2006). Constructing and evaluating balanced portfolios of R &D projects with interactions: A DEA based methodology. European Journal of Operational Research, 172(3), 1018–1039.

    Google Scholar 

  • Fernandez, E., Gomez, C., Rivera, G., & Cruz-Reyes, L. (2015). Hybrid metaheuristic approach for handling many objectives and decisions on partial support in project portfolio optimisation. Information Sciences, 315, 102–122.

    MathSciNet  Google Scholar 

  • Frej, E. A., Ekel, P., & de Almeida, A. T. (2021). A benefit-to-cost ratio based approach for portfolio selection under multiple criteria with incomplete preference information. Information Sciences, 545, 487–498.

    MathSciNet  Google Scholar 

  • Frey, T., Buxmann, P., et al. (2012). It project portfolio management-a structured literature review. In ECIS, p. 167.

  • Ghapanchi, A. H., Tavana, M., Khakbaz, M. H., & Low, G. (2012). A methodology for selecting portfolios of projects with interactions and under uncertainty. International Journal of Project Management, 30(7), 791–803.

    Google Scholar 

  • Guangul, F. M., Mebrahtu, G., & Chandra, S. (2021). Selection of Investment Portfolio Using Multi-criteria Decision Model (MCDM) and Integer Programming Model. In Advances in Engineering Design, pp. 101–116. Springer.

  • Hajiagha, S. H. R., Dahooie, J. H., Kandi, N. A., Zavadskas, E. K., & Xu, Z. (2022). Sustainable process selection using a hybrid Fuzzy DEMATEL and Fuzzy inference system. International Journal of Fuzzy Systems, pp. 1–18. https://doi.org/10.1007/s40815-021-01221-8.

  • Hashemizadeh, A., & Ju, Y. (2019). Project portfolio selection for construction contractors by MCDM–GIS approach. In International Journal of Environmental Science and Technology, pp 1–14.

  • Iamratanakul, S., Patanakul, P., & Milosevic, D. (2008). Project portfolio selection: From past to present. In Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on IEEE. pp. 287–292.

  • Jafarzadeh, M., Tareghian, H. R., Rahbarnia, F., & Ghanbari, R. (2015). Optimal selection of project portfolios using reinvestment strategy within a flexible time horizon. European Journal of Operational Research, 243(2), 658–664.

    MathSciNet  Google Scholar 

  • Jeng, D.J.-F., & Huang, K.-H. (2015). Strategic project portfolio selection for national research institutes. Journal of Business Research, 68(11), 2305–2311.

    Google Scholar 

  • Kandakoglu, M., Walther, G., & Amor, S. B. (2022). A robust multicriteria clustering methodology for portfolio decision analysis. Computers & Industrial Engineering, 174, 108803.

    Google Scholar 

  • Killen, C. P., Hunt, R. A., & Kleinschmidt, E. J. (2007). Managing the new product development project portfolio: a review of the literature and empirical evidence. In Management of Engineering and Technology, Portland International Center for IEEE., pp. 1864–1874.

  • Kurttila, M., Haara, A., Juutinen, A., Karhu, J., Ojanen, P., Pykäläinen, J., Saarimaa, M., Tarvainen, O., Sarkkola, S., & Tolvanen, A. (2020). Applying a multi-criteria project portfolio tool in selecting energy peat production areas. Sustainability, 12(5), 1705.

    CAS  Google Scholar 

  • Lee, J. W., & Kim, S. H. (2001). An integrated approach for interdependent information system project selection. International Journal of Project Management, 19(2), 111–118.

    Google Scholar 

  • Liesiö, J., & Punkka, A. (2014). Baseline value specification and sensitivity analysis in multiattribute project portfolio selection. European Journal of Operational Research, 237(3), 946–956.

    MathSciNet  Google Scholar 

  • Liesiö, J., Mild, P., & Salo, A. (2007). Preference programming for robust portfolio modeling and project selection. European Journal of Operational Research, 181(3), 1488–1505.

    Google Scholar 

  • Liesiö, J., Mild, P., & Salo, A. (2008). Robust portfolio modeling with incomplete cost information and project interdependencies. European Journal of Operational Research, 190(3), 679–695.

    MathSciNet  Google Scholar 

  • Liesiö, J., Andelmin, J., & Salo, A. (2020). Efficient allocation of resources to a portfolio of decision making units. European Journal of Operational Research, 286(2), 619–636.

    MathSciNet  Google Scholar 

  • Liesiö, J., Salo, A., Keisler, J. M., & Morton, A. (2021). Portfolio decision analysis: Recent developments and future prospects. European Journal of Operational Research, 293(3), 811–825. https://doi.org/10.1016/j.ejor.2020.12.015

    Article  MathSciNet  Google Scholar 

  • Lopes, Y. G., & de Almeida, A. T. (2015). Assessment of synergies for selecting a project portfolio in the petroleum industry based on a multi-attribute utility function. Journal of Petroleum Science and Engineering, 126, 131–140.

    CAS  Google Scholar 

  • Ma, J., Harstvedt, J. D., Jaradat, R., & Smith, B. (2020). Sustainability driven multi-criteria project portfolio selection under uncertain decision-making environment. Computers & Industrial Engineering, 140, 106236.

    Google Scholar 

  • Mahmoudi, A., Abbasi, M., & Deng, X. (2022). A novel project portfolio selection framework towards organizational resilience: robust ordinal priority approach. Expert Systems with Applications, 188, 116067.

    PubMed  Google Scholar 

  • Marques, A. C., Frej, E. A., & de Almeida, A. T. (2022). Multicriteria decision support for project portfolio selection with the fitradeoff method. Omega, 111, 102661.

    Google Scholar 

  • Martins, C. L., López, H. M. L., de Almeida, A. T., Almeida, J. A., & Bortoluzzi, M. B. (2017). An MCDM project portfolio web-based DSS for sustainable strategic decision making in an electricity company. Industrial Management & Data Systems, 117(7), 1362–1375.

    Google Scholar 

  • Martinsuo, M., & Geraldi, J. (2020). Management of project portfolios: Relationships of project portfolios with their contexts. International Journal of Project Management. https://doi.org/10.1016/j.ijproman.2020.02.002

    Article  Google Scholar 

  • Mashayekhi, Z., & Omrani, H. (2016). An integrated multi-objective markowitz-dea cross-efficiency model with fuzzy returns for portfolio selection problem. Applied Soft Computing, 38, 1–9.

    Google Scholar 

  • Mavrotas, G., & Makryvelios, E. (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, 291(2), 794–806.

    Google Scholar 

  • Mavrotas, G., & Pechak, O. (2013a). Combining mathematical programming and Monte Carlo simulation to deal with uncertainty in energy project portfolio selection. In Assessment and Simulation Tools for Sustainable Energy Systems, pp. 333–356. Springer.

  • Mavrotas, G., & Pechak, O. (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, 3(1), 79–96.

    Google Scholar 

  • Mavrotas, G., Diakoulaki, D., & Capros, P. (2003). Combined MCDA-IP approach for project selection in the electricity market. Annals of Operations Research, 120(1–4), 159–170.

    MathSciNet  Google Scholar 

  • 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, 171(1), 296–308.

    MathSciNet  Google Scholar 

  • Mavrotas, G., Diakoulaki, D., & Kourentzis, A. (2008). Selection among ranked projects under segmentation, policy and logical constraints. European Journal of Operational Research, 187(1), 177–192.

    Google Scholar 

  • Meskendahl, S. (2010). The influence of business strategy on project portfolio management and its success-a conceptual framework. International Journal of Project Management, 28(8), 807–817.

    Google Scholar 

  • Mild, P., Liesiö, J., & Salo, A. (2015). Selecting infrastructure maintenance projects with robust portfolio modeling. Decision Support Systems, 77, 21–30.

    Google Scholar 

  • Morton, A. (2015). Measurement issues in the evaluation of projects in a project portfolio. European Journal of Operational Research, 245(3), 789–796.

    MathSciNet  ADS  Google Scholar 

  • Morton, A., Keisler, J. M., & Salo, A. (2016). Multicriteria portfolio decision analysis for project selection. In Multiple Criteria Decision Analysis, pp. 1269–1298. Springer.

  • Müller, R., Martinsuo, M., & Blomquist, T. (2008). Project portfolio control and portfolio management performance in different contexts. Project Management Journal, 39(3), 28–42.

    Google Scholar 

  • Mussoi, F. L. R., & Teive, R. C. G. (2021). An integrated multicriteria decision-making approach for distribution system expansion planning. International Journal of Intelligent Systems, 36(9), 4962–4989.

    Google Scholar 

  • Nowak, M., & Trzaskalik, T. (2022). A trade-off multiobjective dynamic programming procedure and its application to project portfolio selection. Annals of Operations Research, 311, 1155–1181.

    MathSciNet  Google Scholar 

  • Parreiras, R., Kokshenev, I., Carvalho, M., Willer, A., Dellezzopolles, C., Jr., Nacif, D., Jr., & Santana, J. (2019). A flexible multicriteria decision-making methodology to support the strategic management of science, technology and innovation research funding programs. European Journal of Operational Research, 272(2), 725–739.

    MathSciNet  Google Scholar 

  • Parvaneh, F., & El-Sayegh, S. M. (2016). Project selection using the combined approach of AHP and LP. Journal of Financial Management of Property and Construction, 21(1), 39–53.

    Google Scholar 

  • Petchrompo, S., Coit, D. W., Brintrup, A., Wannakrairot, A., & Parlikad, A. K. (2022). A review of pareto pruning methods for multi-objective optimization. Computers & Industrial Engineering, 167, 108022.

    Google Scholar 

  • Petchrompo, S., Wannakrairot, A., & Parlikad, A. K. (2022). Pruning pareto optimal solutions for multi-objective portfolio asset management. European Journal of Operational Research, 297(1), 203–220.

    MathSciNet  Google Scholar 

  • Raad, N., Shirazi, M., & Ghodsypour, S. (2020). Selecting a portfolio of projects considering both optimization and balance of sub-portfolios. Journal of Project Management, 5(1), 1–16.

    Google Scholar 

  • Raad, N. G., & Shirazi, M. A. (2020). A project portfolio selection framework for transforming Iranian universities into entrepreneurial institutions. Journal of Industry-University Collaboration. https://doi.org/10.1108/JIUC-06-2019-0014

    Article  Google Scholar 

  • Rad, F. H., & Rowzan, S. M. (2018). Designing a hybrid system dynamic model for analyzing the impact of strategic alignment on project portfolio selection. Simulation Modelling Practice and Theory, 89, 175–194.

    Google Scholar 

  • Ranjbar, M., Nasiri, M. M., & Torabi, S. A. (2022). Multi-mode project portfolio selection and scheduling in a build-operate-transfer environment. Expert Systems with Applications, 189, 116134.

    Google Scholar 

  • Relich, M., & Pawlewski, P. (2017). A fuzzy weighted average approach for selecting portfolio of new product development projects. Neurocomputing, 231, 19–27.

    Google Scholar 

  • Rudnik, K., Bocewicz, G., Kucińska-Landwójtowicz, A., & Czabak-Górska, I. D. (2021). Ordered fuzzy WASPAS method for selection of improvement projects. Expert Systems With Applications, 169, 114471.

    Google Scholar 

  • Salo, A., Keisler, J., & Morton, A. (2011). Portfolio decision analysis: improved methods for resource allocation, vol. 162. Springer. https://doi.org/10.1007/978-1-4419-9943-6_1

  • Shakhsi-Niaei, M., Torabi, S. A., & Iranmanesh, S. H. (2011). A comprehensive framework for project selection problem under uncertainty and real-world constraints. Computers & Industrial Engineering, 61(1), 226–237.

    Google Scholar 

  • Sharifighazvini, M., Ghezavati, V., Raissi, S., & Makui, A. (2018). Integration of a new MCDM approach based on the DEA, FANP with MONLP for efficiency-risk assessment to optimize project portfolio by branch and bound: A real case-study. Economic Computation and Economic Cybernetics Studies and Research, 52(1), 261–278.

    Google Scholar 

  • Song, S., Yang, F., & Xia, Q. (2019). Multi-criteria project portfolio selection and scheduling problem based on acceptability analysis. Computers & Industrial Engineering, 135, 793–799.

    Google Scholar 

  • Song, S., Wei, T., Yang, F., & Xia, Q. (2021). Stochastic multi-attribute acceptability analysis-based heuristic algorithms for multi-attribute project portfolio selection and scheduling problem. Journal of the Operational Research Society, 72(6), 1373–1389.

    Google Scholar 

  • Szilágyi, I., Sebestyén, Z., & Tóth, T. (2020). Project ranking in petroleum exploration. The Engineering Economist, 65(1), 66–87.

    Google Scholar 

  • Tavana, M., Khalili-Damghani, K., & Abtahi, A.-R. (2013). A fuzzy multidimensional multiple-choice knapsack model for project portfolio selection using an evolutionary algorithm. Annals of Operations Research, 206(1), 449–483.

    Google Scholar 

  • Tavana, M., Keramatpour, M., Santos-Arteaga, F. J., & Ghorbaniane, E. (2015). A fuzzy hybrid project portfolio selection method using data envelopment analysis, TOPSIS and integer programming. Expert Systems with Applications, 42(22), 8432–8444.

    Google Scholar 

  • Tavana, M., Khosrojerdi, G., Mina, H., & Rahman, A. (2019). A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process. Evaluation and Program Planning, 77, 101703.

    PubMed  Google Scholar 

  • Tavana, M., Khosrojerdi, G., Mina, H., & Rahman, A. (2020). A new dynamic two-stage mathematical programming model under uncertainty for project evaluation and selection. Computers & Industrial Engineering, 149, 106795.

    Google Scholar 

  • Teller, J., & Kock, A. (2013). An empirical investigation on how portfolio risk management influences project portfolio success. International Journal of Project Management, 31(6), 817–829.

    Google Scholar 

  • Tervonen, T., Liesiö, J., & Salo, A. (2017). Modeling project preferences in multiattribute portfolio decision analysis. European Journal of Operational Research, 263(1), 225–239.

    MathSciNet  Google Scholar 

  • Urli, B., & Terrien, F. (2010). Project portfolio selection model, a realistic approach. International Transactions in Operational Research, 17(6), 809–826.

    Google Scholar 

  • Vetschera, R., & de Almeida, A. T. (2012). A PROMETHEE-based approach to portfolio selection problems. Computers & Operations Research, 39(5), 1010–1020.

    MathSciNet  Google Scholar 

  • Wu, Y., Xu, C., Ke, Y., Chen, K., & Sun, X. (2018). An intuitionistic fuzzy multi-criteria framework for large-scale rooftop pv project portfolio selection: Case study in zhejiang, china. Energy, 143, 295–309.

    Google Scholar 

  • Wu, Y., Xu, C., Ke, Y., Li, X., & Li, L. (2019). Portfolio selection of distributed energy generation projects considering uncertainty and project interaction under different enterprise strategic scenarios. Applied Energy, 236, 444–464.

    ADS  Google Scholar 

  • Wu, Y., Xu, C., Ke, Y., Tao, Y., & Li, X. (2019). Portfolio optimization of renewable energy projects under type-2 fuzzy environment with sustainability perspective. Computers & Industrial Engineering, 133, 69–82.

    Google Scholar 

  • Yang, F., Song, S., Huang, W., & Xia, Q. (2015). SMAA-PO: Project portfolio optimization problems based on stochastic multicriteria acceptability analysis. Annals of Operations Research, 233(1), 535–547.

    MathSciNet  Google Scholar 

  • Yu, L., Wang, S., Wen, F., & Lai, K. K. (2012). Genetic algorithm-based multi-criteria project portfolio selection. Annals of Operations Research, 197(1), 71–86.

    MathSciNet  Google Scholar 

  • Zandi, F., & Tavana, M. (2010). A multi-attribute group decision support system for information technology project selection. International Journal of Business Information Systems, 6(2), 179–199.

    Google Scholar 

  • Zhang, X., Hipel, K. W., & Tan, Y. (2019). Project portfolio selection and scheduling under a fuzzy environment. Memetic Computing, 11(4), 391–406.

    CAS  Google Scholar 

  • Zhang, X., Fang, L., Hipel, K. W., Ding, S., & Tan, Y. (2020). A hybrid project portfolio selection procedure with historical performance consideration. Expert Systems with Applications, 142, 113003.

    Google Scholar 

  • Zhu, Q., Dou, Y., & Sarkis, J. (2010). A portfolio-based analysis for green supplier management using the analytical network process. Supply Chain Management: An International Journal, 15(4), 306–319.

    Google Scholar 

  • Zorluoglu, Ö. S., & Kabak, Ö. (2021). A literature survey on project portfolio selection problem. In Multiple criteria decision making: Beyond the information age, Springer. pp. 387–411.

Download references

Author information

Authors and Affiliations

  1. Chair of Operations Management, RWTH Aachen University, Aachen, Germany

    M. Kandakoglu & G. Walther

  2. Telfer School of Management, University of Ottawa, Ottawa, Canada

    M. Kandakoglu & S. Ben Amor

Authors
  1. M. Kandakoglu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. Walther
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. Ben Amor
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Kandakoglu.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kandakoglu, M., Walther, G. & Ben Amor, S. The use of multi-criteria decision-making methods in project portfolio selection: a literature review and future research directions. Ann Oper Res 332, 807–830 (2024). https://doi.org/10.1007/s10479-023-05564-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-023-05564-3

Keywords

Search

Navigation