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Prioritization of project proposals in portfolio management using fuzzy AHP

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Abstract

Strategies in project assortment and prioritization directly influence organizational production and cost-effectiveness. Due to dearth of funding and nominal technology with improper judgments of expert’s, selection of optimal project portfolio can be viewed as a risk based decision making problem considering various risk factors. Recently, fuzzy set theory is applied for modeling real world problems due to failure of traditional models in uncertain environments. This paper deals with project proposal prioritization from a set of project portfolio satisfying a set of criteria evaluated by decision makers. The analytic hierarchy process is applied in fuzzy environment to help the management of any project based company to prioritize in terms of investment. In the decision approach, expert team decides whether to accept or reject a project as per set of criteria and sub-criteria based on diverse project risk levels. A hierarchy among the different projects based on ratings clearly prioritize the projects among the suggested proposals.

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References

  1. Meredith, J., Mantel, S., Shafer, S.: Project Management: A Managerial Approach, 9th edn (2015)

  2. Tavana, M., Keramatpour, M., Santos-Arteaga, F., Ghorbaniane, E.: A fuzzy hybrid project portfolio selection method using Data Envelopment Analysis, TOPSIS and Integer Programming. Expert Syst. Appl. 42, 8432–8444 (2015)

    Article  Google Scholar 

  3. Turner, J.: The Handbook of Project-Based Management, 3rd edn (2009)

  4. Wang, J., Xu, Y., Li, Z.: Research on project selection system of pre-evaluation of engineering design project bidding. Int. J. Proj. Manag. 27, 584–599 (2009)

    Article  Google Scholar 

  5. Kaiser, M., El Arbi, F., Ahlemann, F.: Successful project portfolio management beyond project selection techniques: understanding the role of structural alignment. Int. J. Proj. Manag. 33, 126–139 (2015)

    Article  Google Scholar 

  6. Archer, N., Ghasemzadeh, F.: An integrated framework for project portfolio selection. Int. J. Proj. Manag. 17(4), 207–216 (1999)

    Article  Google Scholar 

  7. Saaty, T.: The analytic hierarchy process. McGraw-Hill, New York (1980)

    Google Scholar 

  8. Shouder, W.: A scoring methodology for assessing the suitability of management science models. Manag. Sci. 18(10), 526–543 (1972)

    Article  Google Scholar 

  9. Amiri, M.: Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Syst. Appl. 37, 6218–6224 (2010)

    Article  Google Scholar 

  10. Ghapanchi, A., Tavana, M., Khakbaz, M., Low, G.: A methodology for selecting portfolios of projects with interactions and under uncertainty. Int. J. Proj. Manag. 30, 791–803 (2012)

    Article  Google Scholar 

  11. Costantino, F., Gravio, G., Nonino, F.: Project selection in project portfolio management: an artificial neural network model based on critical success factors. Int. J. Proj. Manag. 33(8), 1744–1754 (2015)

    Article  Google Scholar 

  12. Mohanty, R., Agarwal, R., Choudhury, A., Tiwari, M.: A fuzzy ANP-based approach to R&D project selection: a case study. Int. J. Prod. Res. 43(24), 5199–5216 (2005)

    Article  Google Scholar 

  13. Chu, P., Hsu, Y., Fehling, M.: A decision support system for project portfolio selection. Comput. Ind. 32(2), 141–149 (1996)

    Article  Google Scholar 

  14. Gutjahr, W., Katzensteiner, S., Reiter, P., Stummer, C., Denk, M.: Competence-driven project portfolio selection, scheduling and staff assignment. CEJOR 16, 281–306 (2008)

    Article  Google Scholar 

  15. Shpak, A., Zaporojan, D.: Working out R&D program via multi-criteria analysis. Comput. Sci. Moldova 4, 239–259 (1996)

    Google Scholar 

  16. Danila, N.: Strategic evaluation and solution of R&D projects. R&D Manag. 19, 47–62 (1999)

    Article  Google Scholar 

  17. Halouani, N., Chabchoub, H., Martel, J.: Promethee-MD-2T method for project selection. Eur. J. Oper. Res. 195, 841–849 (2009)

    Article  Google Scholar 

  18. Tiryaki, F., Ahlatcioglu, B.: Fuzzy portfolio selection using fuzzy analytic hierarchy process. Inf. Sci. 179(1), 53–69 (2009)

    Article  Google Scholar 

  19. Wang, J., Hwang, W.: A fuzzy set approach for R&D portfolio selection using a real options valuation model. Omega 35, 247–257 (2007)

    Article  Google Scholar 

  20. Coffin, M., Taylor, B.: Multiple criteria R&D project selection and scheduling using fuzzy logic. Comput. Oper. Res. 23(3), 207–220 (1996)

    Article  Google Scholar 

  21. Chen, C., Cheng, H.: A comprehensive model for selecting information system project under fuzzy environment. Int. J. Proj. Manag. 27, 389–399 (2009)

    Article  Google Scholar 

  22. Huang, C., Chu, Y., Chiang, Y.: A fuzzy AHP application in government-sponsored R&D project selection. Omega 36(6), 1038–1052 (2008)

    Article  Google Scholar 

  23. Patanakul, P., Shenhar, A., Milosevic, D.: How project strategy is used in project management: cases of new product development and software development projects. J. Eng. Technol. Manag. 29, 391–414 (2012)

    Article  Google Scholar 

  24. Lu, V., Kim, S., Huynh, T.: Improving project management performance of large contractors using benchmarking approach. Int. J. Proj. Manag. 26, 758–769 (2008)

    Article  Google Scholar 

  25. Ika, L.: Project success as a topic in project management journals. Proj. Manag. J. 40, 6–19 (2009)

    Article  Google Scholar 

  26. Project Management Institute. The standard for portfolio management, 3rd edn. 14 Campus Boulevard, Newtown Square, Pennsylvania 19073-3299 USA, Project Management Institute, Inc, 189 (2013)

  27. Mohanty, R.: Project selection by a multiple-criteria decision-making method: an example from a developing country. Int. J. Proj. Manag. 10, 31–38 (1992)

    Article  Google Scholar 

  28. Turner, J., Müller, R.: The project manager’s leadership style as a success factor on projects: a literature review. Proj. Manag. J. 36, 49–61 (2005)

    Google Scholar 

  29. Salo, A., Keisler, J., Morton, A.: An invitation to portfolio decision analysis. In: Salo, A., Keisler, J., Morton, A. (eds.) Portfolio decision analysis: improved methods for resource allocation, pp. 3–27. Springer, New York (2011)

    Chapter  Google Scholar 

  30. Carlsson, C., Fuller, R., Heikkila, M., Majlender, P.: A fuzzy approach to R&D project portfolio selection. Int. J. Approx. Reason. 44, 93–105 (2007)

    Article  Google Scholar 

  31. Ho, W., Tsai, C., Tzeng, G., Fang, S.: Combined DEMATEL technique with a novel MCDM model for exploring portfolio selection based on CAPM. Expert Syst. Appl. 38, 16–25 (2011)

    Article  Google Scholar 

  32. Jeng, D., Huang, K.: Strategic project portfolio selection for national research institutes. J. Bus. Res. 68, 2305–2311 (2015)

    Article  Google Scholar 

  33. Khalili-Damghani, K., Sadi-Nezhad, S.: A hybrid fuzzy multiple criteria group decision making approach for sustainable project selection. Appl. Soft Comput. 13, 339–352 (2013)

    Article  Google Scholar 

  34. Liesio, J., Punkka, A.: Baseline value specification and sensitivity analysis in multiattribute project portfolio selection. Eur. J. Oper. Res. 237, 946–966 (2014)

    Article  Google Scholar 

  35. Abbasi, M., Ashrafi, M., Tashnizi, E.: Selecting balanced portfolios of R&D projects with interdependencies: a cross-Entropy based methodology. Technovation 34, 54–63 (2014)

    Article  Google Scholar 

  36. An, D., Yang, Y., Xi, B., Dong, L., Ren, J.: Mitigating pollution of hazardous materials from WEEE of China: portfolio selection for a sustainable future based on multi-criteria decision making. Resour. Conserv. Recycl. 105, 198–210 (2015)

    Article  Google Scholar 

  37. Smith-Perera, A., Garcia-Melon, M., Poveda-Bautista, R., Pastor-Ferrando, J.: A project strategic index proposal for portfolio selection in electrical company based on the analytic network process. Renew. Sustain. Energy Rev. 14, 1569–1579 (2010)

    Article  Google Scholar 

  38. Chang, D.: Applications of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res. 95, 649–655 (1996)

    Article  Google Scholar 

  39. Zadeh, L.: Fuzzy sets. Inf. Control 8, 338–352 (1965)

    Article  Google Scholar 

  40. Zadeh, L.: The concept of a Linguistic variable and its application to approximate reasoning-I. Inf. Sci. 8, 199–249 (1975)

    Article  Google Scholar 

  41. Lin, C., Chen, Y.: Bid/no-bid decision-making-a fuzzy linguistic approach. Int. J. Proj. Manag. 22, 585–593 (2004)

    Article  Google Scholar 

  42. Saaty, T.: Decision making with dependence and feedback. The analytic network process. The organization and prioritization of complexity, 2nd edn. RWS Publications, Pittsburgh (2001)

    Google Scholar 

  43. Csutora, R., Buckley, J.: Fuzzy hierarchical analysis: the Lambda-Max method. Fuzzy Sets Syst. 120, 181–195 (2001)

    Article  Google Scholar 

  44. Van Laarhoven, P., Pedrycs, W.: A fuzzy extension of Saaty’s priority theory. Fuzzy Sets Syst. 11, 229–241 (1983)

    Article  Google Scholar 

  45. Buckley, J.: Fuzzy hierarchical analysis. Fuzzy Sets Syst. 17, 233–247 (1985)

    Article  Google Scholar 

  46. Cheng, C., Mon, D.: Evaluation weapon system by AHP based on fuzzy scales. Fuzzy Sets Syst. 63, 1–10 (1994)

    Article  Google Scholar 

  47. Lee, A.: Application of modified fuzzy AHP method to analyze bolting sequence of structural joints. UMI Dissertation Service, A Bell & Howell Company (1995)

  48. Cheng, C.: Evaluation naval tactical missile system by fuzzy AHP based on the grade value of membership function. European Journal of Operation Research 96, 343–350 (1996)

    Article  Google Scholar 

  49. Mikhailov, L.: Deriving priorities from fuzzy pair wise comparison judgments. Fuzzy Sets Syst. 134, 365–385 (2003)

    Article  Google Scholar 

  50. Chang, D.: Extent Analysis and Synthetic Decision, Optimization Techniques and Applications, vol. 1, pp. 352–355. World Scientific, Singapore (1992)

    Google Scholar 

  51. Gabriel, S., Kumar, S., Ordonez, J., Nasserian, A.: A multiobjective optimization model for project selection with probabilistic considerations. Socio Econ. Plan. Sci. 40(4), 297–313 (2006)

    Article  Google Scholar 

  52. Pinto, J., Slevin, D.: Critical success factors in R&D projects. Res. Technol. Manag. 32, 31–35 (1989)

    Article  Google Scholar 

  53. Meredith, J., Mantel, S.: Project Management: A Managerial Approach, 7th edn. Wiley, New York (2009)

    Google Scholar 

  54. Jiang, J., Klein, G.: Project selection criteria by strategic orientation. Inf. Manag. 36, 63–75 (1999)

    Article  Google Scholar 

  55. Puthamont, S., Charoenngam, C.: Strategic project selection in public sector: construction projects of the Ministry of Defense in Thailand. Int. J. Proj. Manag. 25, 178–188 (2006)

    Article  Google Scholar 

  56. Farrell, M.: Financial engineering in project management. Proj. Manag. J. 33(1), 27–36 (2002)

    Google Scholar 

  57. Jafarizadeh, B., Khorshid-Doust, R.: A method of project selection based on capital asset pricing theories in a framework of mean-semi deviation behavior. Int. J. Proj. Manag. 26, 612–619 (2008)

    Article  Google Scholar 

  58. Lawson, C., Longhurst, P., Ivey, P.: The application of a new research and development project selection model in SMEs. Technovation 26, 242–250 (2006)

    Article  Google Scholar 

  59. De Maio, A., Verganti, R., Corso, M.: A multi-project management framework for new product development. Eur. J. Oper. Res. 78, 178–191 (1994)

    Article  Google Scholar 

  60. Kumar, S.: AHP-based formal system for R&D project evaluation. J. Sci. Ind. Res. 63, 888–896 (2004)

    Google Scholar 

  61. Costantino, F., Gravio, G., Nonino, F.: Project selection in project portfolio management: an artificial neural network model based on critical success factors. Int. J. Proj. Manag. 33, 1744–1754 (2015)

    Article  Google Scholar 

  62. Altuntas, S., Dereli, T.: A novel approach based on DEMATEL method and patent citation analysis for prioritizing a portfolio of investment projects. Expert Syst. Appl. 42, 1003–1012 (2015)

    Article  Google Scholar 

  63. Bhattacharya, R.: A grey theory based multiple attribute approach for R&D project portfolio selection. Fuzzy Inf. Eng. 7, 211–225 (2015)

    Article  Google Scholar 

  64. Ohnishi, S., Saito, T., Yamanoi, T., Imai, H.: A weight representation for absolute measurement AHP using fuzzy set theory. In: 5th International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII) (2011). https://doi.org/10.1109/isciii.2011.6069744

  65. Felice, F., Petrillo, A.: Proposal of a structured methodology for the measure of intangible criteria and for decision making. Int. J. Simul. Process Model. 9(3), 157–166 (2014)

    Article  Google Scholar 

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Correspondence to Kajal Chatterjee.

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Chatterjee, K., Hossain, S.A. & Kar, S. Prioritization of project proposals in portfolio management using fuzzy AHP. OPSEARCH 55, 478–501 (2018). https://doi.org/10.1007/s12597-018-0331-3

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