A Method for Project Performance Evaluation by combining the Project Golden Triangle, BSC, AHP, and TOPSIS

Document Type: Research Paper


1 Department of industrial engineering, Sharif University of Technology, Tehran, Iran

2 Department of economics and management, Urmia University, Urmia, Iran


There are several critical measures in the project performance evaluation such as time, cost, and quality. In this paper, a new method for project performance evaluation is presented by combining the project Golden Triangle and the methods in decision science. At first, strategies and measures are introduced for the perspectives of the Balanced Scorecard (BSC) method according to their effect on time, cost, and quality. Next, the Analytic Hierarchy Process (AHP) method is used to weigh the measures by the judgments of experts after integrating AHP and BSC. Then, the weights of the five project phases — from the initiation to the closure — are calculated by the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Our proposed TOPSIS is not only able to involve the judgments of experts, but also, in combination with AHP, can provide a comprehensive performance evaluation method for a project. Finally, using the judgments of experts of a real project-based organization, computational results show that financial measures are more important than other measures and the planning phase is the most important phase of the project. By the proposed method, a project-based organization can evaluate its performance and determine its competitiveness.


Aly, M., H. Attia and A. M. Mohammed (2014). Prioritizing faculty of engineering education performance by using AHP-TOPSIS and Balanced Scorecard Approach. International journal of engineering science and innovative technology, Vol.3(1), pp. 11-23.

Asosheh, A., S. Nalchigar and M. Jamporazmey (2010). Information technology project evaluation: An integrated data envelopment analysis and balanced scorecard approach. Expert Systems with Applications, Vol 37(8), pp. 5931-5938.

Azar, A., L. Olfat, F. Khosravani and R. Jalali (2011). A BSC method for supplier selection strategy using TOPSIS and VIKOR: A case study of part maker industry. Management science letters, Vol. 1(4), pp. 559-568.

Ban, A. I., Ban, O. I., Bogdan, V., Popa, D. C. S., & Tuse, D. (2020). Performance evaluation model of Romanian manufacturing listed companies by fuzzy AHP and TOPSIS. Technological and Economic Development of Economy, Vol. 26(4), pp. 808-836.

Bhutia, P. W. and R. Phipon (2012). Application of AHP and TOPSIS method for supplier selection problem. IOSR Journal of Engineering, Vol. 2(10), pp. 43-50.

Bing, X. and Y. Hao (2008). Study to the performance evaluation of construction enterprise project management based on the BSC. 2008 International Conference on Information Management, Innovation Management and Industrial Engineering, IEEE.

Chatterjee, P. and Ž. Stević (2019). A two-phase fuzzy AHP-fuzzy TOPSIS model for supplier evaluation in manufacturing environment. Operational Research in Engineering Sciences: Theory and Applications, Vol. 2(1),pp. 72-90.

Cho, S.-j. and J.-B. Hong (2017). A Study on Operational Performance Evaluation of Marine Forest Creation project by BSC, AHP and IPA. The Journal of Fisheries Business Administration, Vol. 48(1), pp. 31-49.

Chou, Y. C., Yen, H. Y., Dang, V. T., & Sun, C. C. (2019). Assessing the human resource in science and technology for Asian countries: Application of fuzzy AHP and fuzzy TOPSIS. Symmetry, Vol 11(2), pp. 251.

Devine, K., T. J. Kloppenborg and P. O’Clock (2010). Project measurement and success: A balanced scorecard approach. Journal of Health Care Finance, Vol. 36(4), pp. 38-50.

Eilat, H., B. Golany and A. Shtub (2008). R&D project evaluation: An integrated DEA and balanced scorecard approach. Omega, Vol. 36(5), pp. 895-912.

Ertuğrul, İ. and N. Karakaşoğlu (2008). Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection. The International Journal of Advanced Manufacturing Technology, Vol. 39(7-8), pp. 783-795.

Ertuğrul, İ. and N. Karakaşoğlu (2009). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications Vol. 36(1), pp. 702-715.

Graham, G., J. Freeman and T. Chen (2015). Green supplier selection using an AHP-Entropy-TOPSIS framework. Supply Chain Management: An International Journal. Vol. 20(3), pp. 327-340.

Greene, R., R. Devillers, J. E. Luther and B. G. Eddy (2011). GIS‐based multiple‐criteria decision analysis. Geography Compass, Vol. 5(6), pp. 412-432.

Gumus, A. T. (2009). Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert systems with applications, Vol. 36(2), pp. 4067-4074.

Guru, S. and D. Mahalik (2019). A comparative study on performance measurement of Indian public sector banks using AHP-TOPSIS and AHP-grey relational analysis. OPSEARCH, Vol. 56(4), pp. 1213-1239.

Hájek, P., M. Stříteská and V. Prokop (2018). Integrating balanced scorecard and fuzzy TOPSIS for innovation performance evaluation. PACIS 2018 Proceedings.

Hwang, C.-L., Y.-J. Lai and T.-Y. Liu (1993). A new approach for multiple objective decision making. Computers & operations research, Vol. 20(8), pp. 889-899.

Hwang, C.-L. and K. Yoon (1981). Methods for multiple attribute decision making. Multiple attribute decision making, Springer: pp.58-191.

Kaplan, R. S. and D. P. Norton (1996). Linking the balanced scorecard to strategy. California management review, Vol.  39(1), pp. 53-79.

Kaplan, R. S. and D. P. Norton (2001). Transforming the balanced scorecard from performance measurement to strategic management: Part I. Accounting horizons Vol. 15(1), pp. 87-104.

Keyes, J. (2010). Implementing the project management Balanced Scorecard, CRC Press.

Milis, K. and R. Mercken (2004). The use of the balanced scorecard for the evaluation of information and communication technology projects. International Journal of Project Management, Vol. 22(2), pp. 87-97.

Moe, T. L., F. Gehbauer, S. Senitz and M. Mueller (2007). Balanced scorecard for natural disaster management projects. Disaster Prevention and Management: An International Journal, Vol. 16 No. 5, pp. 785-806.

Önder, E., N. Taş and A. Hepsen (2013). Performance evaluation of Turkish banks using analytical hierarchy process and TOPSIS methods. Journal of International Scientific Publication: Economy & Business Vol. 7(1), pp. 470-503.

Pramanik, D., A. Haldar, S. C. Mondal, S. K. Naskar and A. Ray (2017). Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment. International Journal of Management Science and Engineering Management ,Vol. 12(1), pp. 45-54.

Remer, D. S. and A. P. Nieto (1995). A compendium and comparison of 25 project evaluation techniques. Part 1: Net present value and rate of return methods. International journal of production economics Vol. 42(1), pp. 79-96.

Remer, D. S. and A. P. Nieto (1995). A compendium and comparison of 25 project evaluation techniques. Part 2: Ratio, payback, and accounting methods. International Journal of Production Economics,Vol. 42(2), pp. 101-129.

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, Vol. 1(1), pp. 83-98.

Seçme, N. Y., A. Bayrakdaroğlu and C. Kahraman (2009). Fuzzy performance evaluation in Turkish banking sector using analytic hierarchy process and TOPSIS. Expert systems with applications, Vol. 36(9), pp. 11699-11709.

Sehhat, S., M. Taheri and D. H. Sadeh (2015). Ranking of insurance companies in Iran using AHP and TOPSIS techniques. American Journal of Research Communication, Vol. 3(1), pp. 51-60.

Shojaee, M. and M. Fallah (2012). A hybrid TOPSIS-BSC method for strategic planning. Management Science Letters Vol. 2(8), pp. 2845-2850.

Van Grembergen, W. and I. Amelinckx (2002). Measuring and managing e-business projects through the balanced scorecard. Proceedings of the 35th Annual Hawaii International Conference on System Sciences, IEEE.

Varmazyar, M., M. Dehghanbaghi and M. Afkhami (2016). A novel hybrid MCDM model for performance evaluation of research and technology organizations based on BSC approach. Evaluation and program planning, Vol. 58, pp. 125-140.

Vinodh, S., M. Prasanna and N. H. Prakash (2014). Integrated Fuzzy AHP–TOPSIS for selecting the best plastic recycling method: A case study. Applied Mathematical Modelling Vol. 38(19-20), pp. 4662-4672.

Yılmaz, G. and M. Nuri İne (2018). Assessment of sustainability performances of banks by TOPSIS method and balanced scorecard approach. International Journal of Business and Applied Social Science (IJBASS), Vol. 4(1), January 2018, Available at SSRN: https://ssrn.com/abstract=3110488

Yucesan, M. and M. Gul (2020). Hospital service quality evaluation: an integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS. Soft Computing, Vol. 24(5), pp. 3237-3255.

Yudatama, U. and R. Sarno (2016). Priority determination for higher education strategic planning using balanced scorecard, FAHP and TOPSIS (Case study: XYZ University). IOP Conference Series: Materials Science and Engineering, IOP Publishing.