How to cite this paper
APA: 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.
Chicago/Turabian: 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, no. 1 (2020): 1-16.
AMA: Raad, N., Shirazi, M & Ghodsypour, S. Selecting a portfolio of projects considering both optimization and balance of sub-portfolios. Journal of Project Management. 2020;5(1):1-16.
References
Abbasi, M., Ashrafi, M., Kheirkhah, A. S., Bonyad, H., & Ghorbanzadeh, K. H. (2013). R&D Project Portfolio Selection by developing a hybrid DEA-BSC model. Journal of science & technology policy, 5(3), 67-84.
Alinezhad, A. & Simiari, K. (2013). A hybrid method for project selection by using DE-MATEL/DEA. Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 28(11), 41-60.
Vetschera, R., & De Almeida, A. T. (2012). A PROMETHEE-based approach to portfolio selec-tion problems. Computers & Operations Research, 39(5), 1010-1020.
Archer, N. P., & Ghasemzadeh, F. (1999). An integrated framework for project portfolio selec-tion. International Journal of Project Management, 17(4), 207-216.
Archer, N. P. & Ghasemzadeh, F. (2000). Project portfolio selection through decision support. Decision Support Systems, 29, 73-88.
AXELOS (2011). What is Portfolio Management?. https://www.axelos.com/best-practice-solutions/mop/what-is-mop
Badri, M. A., Davis, D., & Davis, D. (2001). A comprehensive 0–1 goal programming model for project selection. International Journal of Project Management, 19(4), 243-252.
Baker, N., & Freeland, J. (1975). Recent advances in R&D benefit measurement and project se-lection methods. Management science, 21(10), 1164-1175.
Canbaz, B. & Marle, F. (2016). Construction of project portfolio considering efficiency, strategic effectiveness, balance and project interdependencies. International Journal of Project Organi-zation and Management, 8(2), 103-126.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Jour-nal of Operational Research, 95(3), 649-655.
Chen, K., & Gorla, N. (1998). Information system project selection using fuzzy logic. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 28(6), 849-855.
Cook, W. D., & Seiford, L. M. (1982). R&D project selection in a multidimensional environ-ment: A practical approach. Journal of the Operational Research Society, 33(5), 397-405.
Dey, P. K. (2006). Integrated project evaluation and selection using multiple-attribute decision-making technique. International Journal of Production Economics, 103(1), 90-103.
Dickinson, M. W., Thornton, A. C., & Graves, S. (2001). Technology portfolio management: op-timizing interdependent projects over multiple time periods. IEEE Transactions on Engineer-ing Management, 48(4), 518-527.
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.
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 pro-gramming. Expert Systems with Applications, 42(22), 8432-8444.
Gustafsson, J., & Salo, A. (2005). Contingent portfolio programming for the management of risky projects. Operations research, 53(6), 946-956.
Helin, A. F., & Souder, W. E. (1974). Experimental test of a q-sort procedure for prioritizing R&D projects. IEEE Transactions on Engineering Management, 4, 159-162.
Jafarzadeh, H., Akbari, P., & Abedin, B. (2018). A methodology for project portfolio selection under criteria prioritisation, uncertainty and projects interdependency–combination of fuzzy QFD and DEA. Expert Systems with Applications, 110, 237-249.
Kalashnikov, V., Benita, F., López-Ramos, F., & Hernández-Luna, A. (2017). Bi-objective pro-ject portfolio selection in Lean Six Sigma. International Journal of Production Econom-ics, 186, 81-88.
Liberatore, M. J., & Stylianou, A. C. (1993). The development manager's advisory system: A knowledge‐based DSS tool for project assessment. Decision Sciences, 24(5), 953-976.
Liesiö, J., Mild, P., & Salo, A. (2008). Robust portfolio modeling with incomplete cost infor-mation and project interdependencies. European Journal of Operational Research, 190(3), 679-695.
Lockett, A. G., & Freeman, P. (1970). Probabilistic Networks and R & D Portfolio Selec-tion. Journal of the Operational Research Society, 21(3), 353-359.
Luehrman, T. A. (1998). Investment opportunities as real options: Getting started on the num-bers (pp. 3-15). Boston: Harvard Business Review, 76, 51-61.
Martel, J. M., Khoury, N. T., & Bergeron, M. (1988). An application of a multicriteria approach to portfolio comparisons. Journal of the Operational Research Society, 39(7), 617-628.
Mathieu, R. G., & Gibson, J. E. (1993). A methodology for large-scale R&D planning based on cluster analysis. IEEE Transactions on Engineering Management, 40(3), 283-292.
Masmoudi, M., & Abdelaziz, F. B. (2017). A chance constrained recourse approach for the port-folio selection problem. Annals of Operations Research, 251(1-2), 243-254.
Medaglia, A. L., Graves, S. B., & Ringuest, J. L. (2007). A multiobjective evolutionary approach for linearly constrained project selection under uncertainty. European Journal of Operational Research, 179(3), 869-894.
Montajabiha, M. A. H. S. A., Arshadi Khamseh, A. R., & Afshar-Nadjafi, B. (2017). Research and Development Project Portfolio Selection Based on Compound real Options Approach and Robust Combinatorial optimization. Journal of Operational Research In Its Applications (Ap-plied Mathematics)-Lahijan Azad University, 14(1), 39-62.
Paolini, A., & Glaser, M. A. (1977). Project selection methods that pick winners. Research Man-agement, 20(3), 26-29.
Pérez, F., Gómez, T., Caballero, R., & Liern, V. (2018). Project portfolio selection and planning with fuzzy constraints. Technological Forecasting and Social Change, 131, 117-129.
Ravanshadnia, M., Rajaie, H., & Abbasian, H. R. (2010). Hybrid fuzzy MADM project-selection model for diversified construction companies. Canadian Journal of Civil Engineering, 37(8), 1082-1093.
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.
Saghaei, A., & Didehkhani, H. (2011). Developing an integrated model for the evaluation and se-lection of six sigma projects based on ANFIS and fuzzy goal programming. Expert Systems with Applications, 38(1), 721-728.
Sampath, S., Gel, E. S., Fowler, J. W., & Kempf, K. G. (2015). A decision-making framework for project portfolio planning at Intel Corporation. Interfaces, 45(5), 391-408.
Schmidt, R. L. (1993). A model for R&D project selection with combined benefit, outcome and resource interactions. IEEE Transactions on Engineering Management, 40(4), 403-410.
Schniederjans, M. J., & Wilson, R. L. (1991). Using the analytic hierarchy process and goal pro-gramming for information system project selection. Information & management, 20(5), 333-342.
Souder, W. E., & Mandakovic, T. (1986). R&D project selection models. Research Manage-ment, 29(4), 36-42.
Stummer, C., & Heidenberger, K. (2003). Interactive R&D portfolio analysis with project inter-dependencies and time profiles of multiple objectives. IEEE Transactions on Engineering Management, 50(2), 175-183.
Tervonen, T., Liesiö, J., & Salo, A. (2017). Modeling project preferences in multiattribute portfo-lio decision analysis. European Journal of Operational Research, 263(1), 225-239.
Tiggemann, R. F., Dworaczyk, D. A., & Sabel, H. (1998). Project portfolio management: A pow-erful strategic weapon in pharmaceutical drug development. Drug information journal, 32(3), 813-824.
Tkáč, M., & Lyócsa, Š. (2010). On the evaluation of Six Sigma projects. Quality and reliability engineering international, 26(1), 115-124.
Wang, J., & Hwang, W. L. (2007). A fuzzy set approach for R&D portfolio selection using a real options valuation model. Omega, 35(3), 247-257.
Winkofsky, E. P., Baker, N. R., & Sweeney, D. J. (1981). A decision process model of R&D re-source allocation in hierarchical organizations. Management Science, 27(3), 268-283.
Alinezhad, A. & Simiari, K. (2013). A hybrid method for project selection by using DE-MATEL/DEA. Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 28(11), 41-60.
Vetschera, R., & De Almeida, A. T. (2012). A PROMETHEE-based approach to portfolio selec-tion problems. Computers & Operations Research, 39(5), 1010-1020.
Archer, N. P., & Ghasemzadeh, F. (1999). An integrated framework for project portfolio selec-tion. International Journal of Project Management, 17(4), 207-216.
Archer, N. P. & Ghasemzadeh, F. (2000). Project portfolio selection through decision support. Decision Support Systems, 29, 73-88.
AXELOS (2011). What is Portfolio Management?. https://www.axelos.com/best-practice-solutions/mop/what-is-mop
Badri, M. A., Davis, D., & Davis, D. (2001). A comprehensive 0–1 goal programming model for project selection. International Journal of Project Management, 19(4), 243-252.
Baker, N., & Freeland, J. (1975). Recent advances in R&D benefit measurement and project se-lection methods. Management science, 21(10), 1164-1175.
Canbaz, B. & Marle, F. (2016). Construction of project portfolio considering efficiency, strategic effectiveness, balance and project interdependencies. International Journal of Project Organi-zation and Management, 8(2), 103-126.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Jour-nal of Operational Research, 95(3), 649-655.
Chen, K., & Gorla, N. (1998). Information system project selection using fuzzy logic. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 28(6), 849-855.
Cook, W. D., & Seiford, L. M. (1982). R&D project selection in a multidimensional environ-ment: A practical approach. Journal of the Operational Research Society, 33(5), 397-405.
Dey, P. K. (2006). Integrated project evaluation and selection using multiple-attribute decision-making technique. International Journal of Production Economics, 103(1), 90-103.
Dickinson, M. W., Thornton, A. C., & Graves, S. (2001). Technology portfolio management: op-timizing interdependent projects over multiple time periods. IEEE Transactions on Engineer-ing Management, 48(4), 518-527.
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.
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 pro-gramming. Expert Systems with Applications, 42(22), 8432-8444.
Gustafsson, J., & Salo, A. (2005). Contingent portfolio programming for the management of risky projects. Operations research, 53(6), 946-956.
Helin, A. F., & Souder, W. E. (1974). Experimental test of a q-sort procedure for prioritizing R&D projects. IEEE Transactions on Engineering Management, 4, 159-162.
Jafarzadeh, H., Akbari, P., & Abedin, B. (2018). A methodology for project portfolio selection under criteria prioritisation, uncertainty and projects interdependency–combination of fuzzy QFD and DEA. Expert Systems with Applications, 110, 237-249.
Kalashnikov, V., Benita, F., López-Ramos, F., & Hernández-Luna, A. (2017). Bi-objective pro-ject portfolio selection in Lean Six Sigma. International Journal of Production Econom-ics, 186, 81-88.
Liberatore, M. J., & Stylianou, A. C. (1993). The development manager's advisory system: A knowledge‐based DSS tool for project assessment. Decision Sciences, 24(5), 953-976.
Liesiö, J., Mild, P., & Salo, A. (2008). Robust portfolio modeling with incomplete cost infor-mation and project interdependencies. European Journal of Operational Research, 190(3), 679-695.
Lockett, A. G., & Freeman, P. (1970). Probabilistic Networks and R & D Portfolio Selec-tion. Journal of the Operational Research Society, 21(3), 353-359.
Luehrman, T. A. (1998). Investment opportunities as real options: Getting started on the num-bers (pp. 3-15). Boston: Harvard Business Review, 76, 51-61.
Martel, J. M., Khoury, N. T., & Bergeron, M. (1988). An application of a multicriteria approach to portfolio comparisons. Journal of the Operational Research Society, 39(7), 617-628.
Mathieu, R. G., & Gibson, J. E. (1993). A methodology for large-scale R&D planning based on cluster analysis. IEEE Transactions on Engineering Management, 40(3), 283-292.
Masmoudi, M., & Abdelaziz, F. B. (2017). A chance constrained recourse approach for the port-folio selection problem. Annals of Operations Research, 251(1-2), 243-254.
Medaglia, A. L., Graves, S. B., & Ringuest, J. L. (2007). A multiobjective evolutionary approach for linearly constrained project selection under uncertainty. European Journal of Operational Research, 179(3), 869-894.
Montajabiha, M. A. H. S. A., Arshadi Khamseh, A. R., & Afshar-Nadjafi, B. (2017). Research and Development Project Portfolio Selection Based on Compound real Options Approach and Robust Combinatorial optimization. Journal of Operational Research In Its Applications (Ap-plied Mathematics)-Lahijan Azad University, 14(1), 39-62.
Paolini, A., & Glaser, M. A. (1977). Project selection methods that pick winners. Research Man-agement, 20(3), 26-29.
Pérez, F., Gómez, T., Caballero, R., & Liern, V. (2018). Project portfolio selection and planning with fuzzy constraints. Technological Forecasting and Social Change, 131, 117-129.
Ravanshadnia, M., Rajaie, H., & Abbasian, H. R. (2010). Hybrid fuzzy MADM project-selection model for diversified construction companies. Canadian Journal of Civil Engineering, 37(8), 1082-1093.
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.
Saghaei, A., & Didehkhani, H. (2011). Developing an integrated model for the evaluation and se-lection of six sigma projects based on ANFIS and fuzzy goal programming. Expert Systems with Applications, 38(1), 721-728.
Sampath, S., Gel, E. S., Fowler, J. W., & Kempf, K. G. (2015). A decision-making framework for project portfolio planning at Intel Corporation. Interfaces, 45(5), 391-408.
Schmidt, R. L. (1993). A model for R&D project selection with combined benefit, outcome and resource interactions. IEEE Transactions on Engineering Management, 40(4), 403-410.
Schniederjans, M. J., & Wilson, R. L. (1991). Using the analytic hierarchy process and goal pro-gramming for information system project selection. Information & management, 20(5), 333-342.
Souder, W. E., & Mandakovic, T. (1986). R&D project selection models. Research Manage-ment, 29(4), 36-42.
Stummer, C., & Heidenberger, K. (2003). Interactive R&D portfolio analysis with project inter-dependencies and time profiles of multiple objectives. IEEE Transactions on Engineering Management, 50(2), 175-183.
Tervonen, T., Liesiö, J., & Salo, A. (2017). Modeling project preferences in multiattribute portfo-lio decision analysis. European Journal of Operational Research, 263(1), 225-239.
Tiggemann, R. F., Dworaczyk, D. A., & Sabel, H. (1998). Project portfolio management: A pow-erful strategic weapon in pharmaceutical drug development. Drug information journal, 32(3), 813-824.
Tkáč, M., & Lyócsa, Š. (2010). On the evaluation of Six Sigma projects. Quality and reliability engineering international, 26(1), 115-124.
Wang, J., & Hwang, W. L. (2007). A fuzzy set approach for R&D portfolio selection using a real options valuation model. Omega, 35(3), 247-257.
Winkofsky, E. P., Baker, N. R., & Sweeney, D. J. (1981). A decision process model of R&D re-source allocation in hierarchical organizations. Management Science, 27(3), 268-283.