How to cite this paper
Manavizadeh, N., Malek, S., Vosoughi-Kia, R & Farrokhi-Asl, H. (2017). An efficient risk based multi objective project selection approach considering environmental issues.Uncertain Supply Chain Management, 5(2), 143-158.
Refrences
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Caron, F., Fumagalli, M., & Rigamonti, A. (2007). Engineering and contracting projects: A value at risk based approach to portfolio balancing. International Journal of Project Management, 25(6), 569-578.
Chen, J., & Askin, R. G. (2009). Project selection, scheduling and resource allocation with time dependent returns. European Journal of Operational Research, 193(1), 23-34.
Dey, P. K. (2006). Integrated project evaluation and selection using multiple-attribute decision-making technique. International Journal of Production Economics, 103(1), 90-103.
Drake, A. R., & Kohlmeyer, J. M. (2010). Risk-taking in new project selection: Additive effects of bonus incentives and past performance history. Advances in Accounting, 26(2), 207-220.
Gabriel, S. A., Kumar, S., Ordonez, J., & Nasserian, A. (2006). A multiobjective optimization model for project selection with probabilistic considerations. Socio-Economic Planning Sciences, 40(4), 297-313.
Ghorbani, S., & Rabbani, M. (2009). A new multi-objective algorithm for a project selection problem. Advances in Engineering Software, 40(1), 9-14.
Grosan, C., Oltean, M., & Dumitrescu, D. (2003). Performance metrics for multiobjective optimization evolutionary algorithms. In Proceedings of Conference on Applied and Industrial Mathematics (CAIM), Oradea.
Gujarathi, A. M., & Babu, B. V. (2009). Improved multiobjective differential evolution (MODE) approach for purified terephthalic acid (PTA) oxidation process. Materials and Manufacturing Processes, 24(3), 303-319.
Liesiö, J., & Salo, A. (2012). Scenario-based portfolio selection of investment projects with incomplete probability and utility information. European Journal of Operational Research, 217(1), 162-172.
Medaglia, A. L., Hueth, D., Mendieta, J. C., & Sefair, J. A. (2008). A multiobjective model for the selection and timing of public enterprise projects. Socio-Economic Planning Sciences, 42(1), 31-45.
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.
Markowitz, H. (1952). Portfolio selection. The journal of finance, 7(1), 77-91.
Mohanty, R. P., Agarwal, R., Choudhury, A. K., & Tiwari, M. K. (2005). A fuzzy ANP-based approach to R&D project selection: a case study. International Journal of Production Research, 43(24), 5199-5216.
Oral, M., Kettani, O., & Çınar, Ü. (2001). Project evaluation and selection in a network of collaboration: A consensual disaggregation multi-criterion approach. European Journal of Operational Research, 130(2), 332-346.
Padhy, R. K., & Sahu, S. (2011). A Real Option based Six Sigma project evaluation and selection model. International Journal of Project Management, 29(8), 1091-1102.
Prato, T. (2007). Selection and evaluation of projects to conserve ecosystem services. Ecological Modelling, 203(3), 290-296.
Rabbani, M., Farrokhi-Asl, H., & Ameli, M. (2016). Solving a fuzzy multi-objective products and time planning using hybrid meta-heuristic algorithm: Gas refinery case study. Uncertain Supply Chain Management, 4(2), 93-106.
Schott, J. R. (1995). Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization (No. AFIT/CI/CIA-95-039). AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH.
Strong, R. A., Steiger, N. M., & Wilson, J. R. (2009, December). Introduction to financial risk assessment using Monte Carlo simulation. In Proceedings of the 2009 Winter Simulation Conference (WSC) (pp. 99-118). IEEE.
Sun, H., & Ma, T. (2005). A packing-multiple-boxes model for R&D project selection and scheduling. Technovation, 25(11), 1355-1361.
Tian, Q., Ma, J., Liang, J., Kwok, R. C., & Liu, O. (2005). An organizational decision support system for effective R&D project selection. Decision Support Systems, 39(3), 403-413.
Caron, F., Fumagalli, M., & Rigamonti, A. (2007). Engineering and contracting projects: A value at risk based approach to portfolio balancing. International Journal of Project Management, 25(6), 569-578.
Chen, J., & Askin, R. G. (2009). Project selection, scheduling and resource allocation with time dependent returns. European Journal of Operational Research, 193(1), 23-34.
Dey, P. K. (2006). Integrated project evaluation and selection using multiple-attribute decision-making technique. International Journal of Production Economics, 103(1), 90-103.
Drake, A. R., & Kohlmeyer, J. M. (2010). Risk-taking in new project selection: Additive effects of bonus incentives and past performance history. Advances in Accounting, 26(2), 207-220.
Gabriel, S. A., Kumar, S., Ordonez, J., & Nasserian, A. (2006). A multiobjective optimization model for project selection with probabilistic considerations. Socio-Economic Planning Sciences, 40(4), 297-313.
Ghorbani, S., & Rabbani, M. (2009). A new multi-objective algorithm for a project selection problem. Advances in Engineering Software, 40(1), 9-14.
Grosan, C., Oltean, M., & Dumitrescu, D. (2003). Performance metrics for multiobjective optimization evolutionary algorithms. In Proceedings of Conference on Applied and Industrial Mathematics (CAIM), Oradea.
Gujarathi, A. M., & Babu, B. V. (2009). Improved multiobjective differential evolution (MODE) approach for purified terephthalic acid (PTA) oxidation process. Materials and Manufacturing Processes, 24(3), 303-319.
Liesiö, J., & Salo, A. (2012). Scenario-based portfolio selection of investment projects with incomplete probability and utility information. European Journal of Operational Research, 217(1), 162-172.
Medaglia, A. L., Hueth, D., Mendieta, J. C., & Sefair, J. A. (2008). A multiobjective model for the selection and timing of public enterprise projects. Socio-Economic Planning Sciences, 42(1), 31-45.
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.
Markowitz, H. (1952). Portfolio selection. The journal of finance, 7(1), 77-91.
Mohanty, R. P., Agarwal, R., Choudhury, A. K., & Tiwari, M. K. (2005). A fuzzy ANP-based approach to R&D project selection: a case study. International Journal of Production Research, 43(24), 5199-5216.
Oral, M., Kettani, O., & Çınar, Ü. (2001). Project evaluation and selection in a network of collaboration: A consensual disaggregation multi-criterion approach. European Journal of Operational Research, 130(2), 332-346.
Padhy, R. K., & Sahu, S. (2011). A Real Option based Six Sigma project evaluation and selection model. International Journal of Project Management, 29(8), 1091-1102.
Prato, T. (2007). Selection and evaluation of projects to conserve ecosystem services. Ecological Modelling, 203(3), 290-296.
Rabbani, M., Farrokhi-Asl, H., & Ameli, M. (2016). Solving a fuzzy multi-objective products and time planning using hybrid meta-heuristic algorithm: Gas refinery case study. Uncertain Supply Chain Management, 4(2), 93-106.
Schott, J. R. (1995). Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization (No. AFIT/CI/CIA-95-039). AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH.
Strong, R. A., Steiger, N. M., & Wilson, J. R. (2009, December). Introduction to financial risk assessment using Monte Carlo simulation. In Proceedings of the 2009 Winter Simulation Conference (WSC) (pp. 99-118). IEEE.
Sun, H., & Ma, T. (2005). A packing-multiple-boxes model for R&D project selection and scheduling. Technovation, 25(11), 1355-1361.
Tian, Q., Ma, J., Liang, J., Kwok, R. C., & Liu, O. (2005). An organizational decision support system for effective R&D project selection. Decision Support Systems, 39(3), 403-413.