Advancing Construction Scheduling: Unravelling Challenges Through GERT


  • K. Pregina Research Associate, Division of Structural and Geotechnical Engineering, School of Civil Engineering, Vellore Institute of Technology, Chennai 600127, Tamil Nadu, India
  • K. Vasugi Associate Professor, Division of Structural and Geotechnical Engineering, School of Civil Engineering, Vellore Institute of Technology, Chennai 600127, Tamil Nadu, India


Project management tool, comprehensive review, research impact assessment, informetric analysis, Graphical Evaluation, Review Technique (GERT)


Many real-time projects face uncertainty and unpredictability in today's rapidly developing world, rendering conventional scheduling methods inadequate. In such circumstances, stochastic scheduling emerges as a valuable mechanism for formulating dependable and efficient schedules while simultaneously considering the intrinsic uncertainty and variability of the factors that impact the project. Graphical Evaluation and Review Technique (GERT) is a stochastic method employed in project management to model and analyses complex projects. The article provides an in-depth examination of GERT methodology literature, addressing its historical background, fundamental principles, methodologies, limitations, and practical applications. This comprehensive analysis involves informetric evaluation and content classification, encompassing a total of 96 journal articles, 10 book chapters, and 39 conference papers published from 1997 to 2023. It furnishes valuable insights to aid researchers and decision-makers in making informed decisions and enhancing the efficiency of project planning, scheduling, and control.


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Woolery, J.C., Keith C. Crandall, 1983. Stochastic Network Model for Planning Scheduling. J. Constr. Eng. Manag. 109, 342–354.

Sears, S.K., Sears, G.A., Clough, R.H., Rounds, J.L., Segner, R.O., 2015. Construction Project Management, Sixth. ed. John Wiley & Sons, New York.

Reda, R.M., 1990. RPM: Repetitive Project Modeling. J. Constr. Eng. Manag. 116, 316–330.

Tarek, H., Nagib, W., 2001. Cost Optimization in Projects with Repetitive Nonserial Activities. J. Constr. Eng. Manag. 127, 183–191.

Faghihi, V., Nejat, A., Reinschmidt, K.F., Kang, J.H., 2015. Automation in construction scheduling: a review of the literature. Int. J. Adv. Manuf. Technol. 81, 1845–1856.

Seng, H., Ferdinand, F., Steven, W., 2023. Factors Influencing Scheduling Activities of Construction Projects. J. Leg. Aff. Disput. Resolut. Eng. Constr. 15, 6522004.

Elena Bruni, M., Beraldi, P., Guerriero, F., Pinto, E., 2011. A scheduling methodology for dealing with uncertainty in construction projects. Eng. Comput. 28, 1064–1078.

Torabi Yeganeh, F., Zegordi, S.H., 2020. A multi-objective optimization approach to project scheduling with resiliency criteria under uncertain activity duration. Ann. Oper. Res. 285, 161–196.

Sharareh, K., Apurva, P., 2023. Uncertainty Analysis of Key Schedule Performance Indicators in Design, Procurement, and Construction Phases of Heavy Industrial Projects. J. Leg. Aff. Disput. Resolut. Eng. Constr. 15, 4522042.

Tariq, J., Shujaa Safdar Gardezi, S., 2023. Study the delays and conflicts for construction projects and their mutual relationship: A review. Ain Shams Eng. J. 14, 101815.

Iyer, K.C., Jha, K.N., 2006. Critical Factors Affecting Schedule Performance: Evidence from Indian Construction Projects. J. Constr. Eng. Manag. 132, 871–881.

Lin, K.-P., Wu, M.-J., Hung, K.-C., Kuo, Y., 2011. Developing a Tω (the weakest t-norm) fuzzy GERT for evaluating uncertain process reliability in semiconductor manufacturing. Appl. Soft Comput. 11, 5165–5180.

Zhou, L., Xie, J., Gu, X., Lin, Y., Ieromonachou, P., Zhang, X., 2016. Forecasting return of used products for remanufacturing using Graphical Evaluation and Review Technique (GERT). Int. J. Prod. Econ. 181, 315–324.

Najim, K., Ikonen, E., Daoud, A.-K., 2004. Chapter 1 - Stochastic Processes. In: Stochastic Processes: Estimation, Optimization & Analysis. Kogan Page Science, London and Sterling, VA, pp. 1–92.

Kannan, R., 2014. Graphical Evaluation and Review Technique (GERT): The Panorama in the Computation and Visualization of Network-Based Project Management. In: Tripathy, B.K., Acharjya, D.P. (Eds.), Advances in Secure Computing, Internet Services, and Applications. IGI Global, pp. 165–179.

Pregina, K., Ramesh Kannan, M., 2022. Stochastic Project Network Scheduling Technique for Construction Projects Using GERT. In: Loon, L.Y., Subramaniyan, M., Gunasekaran, K. (Eds.), Advances in Construction Management. Springer Nature Singapore, Singapore, pp. 381–392.

Neumann, K., 1999. Scheduling of Projects with Stochastic Evolution Structure. In: Węglarz, J. (Ed.), Project Scheduling: Recent Models, Algorithms and Applications. Springer US, Boston, MA, pp. 309–332.

Zeng, J., Liu, S., 2023. Forecasting the sustainable classified recycling of used lithium batteries by gray Graphical Evaluation and Review Technique. Renew. Energy 202, 602–612.

Qiu, J., Zhao, R., Yang, S., Dong, K., 2017. Concentration and Scattering Distribution of Literature Information: Bradford’s Law. In: Informetrics: Theory, Methods and Applications. Springer Nature, Singapore, pp. 89--119.

Pritsker, A.A.B., 1966. GERT: Graphical Evaluation and Review Technique.

Pritsker, A.A.B., Happ, W.W., 1966. GERT: Graphical Evaluation and Review Technique Part I, Fundamentals. J. Ind. Eng. 17, 267–274.

Pritsker, A.A.B., Whitehouse, G.E., 1966. GERT : Graphical Evaluation and Review Technique: Part II, Probabilistic and Industrial Engineering. J. Ind. Eng. 17, 229–239.

Elmaghraby, S.E., 1964. An Algebra for the Analysis of Generalized Activity Networks. Manage. Sci. 10, 494–514.

Elmaghraby, S.E., 1970. The Theory of Networks and Management Science: Part II. Manage. Sci. 17, B-54-B-71.

Drezner, S., Pritsker, A.A.B., 1964. Use of Generalized Activity Networks in Scheduling. In: Depot Scheduling and Control Conference. RAND Corporation, Santa Monica, California.

Taylor, B.W., Moore, L.J., 1980. R&D Project Planning with Q-GERT Network Modeling and Simulation. Manage. Sci. 26, 44–59.

De Marco, A., 2011. Probabilistic Scheduling. In: Project Management for Facility Constructions. Springer, Berlin, Heidelberg, pp. 163–174.

Geng, S., Yang, M., Mitici, M., Liu, S., 2023. A resilience assessment framework for complex engineered systems using graphical evaluation and review technique (GERT). Reliab. Eng. Syst. Saf. 236, 109298.

Zhao, J., Xue, Z., Li, T., Ping, J., Peng, S., 2021. An energy and time prediction model for remanufacturing process using graphical evaluation and review technique (GERT) with multivariant uncertainties. Environ. Sci. Pollut. Res.

Whitehouse, G.E., Pritsker, A.A.B., 1969. GERT: Part III—Further Statistical Results; Counters, Renewal Times, and Correlations. A I I E Trans. 1, 45–50.

Whitehouse, G.E., 1970. GERT, A Useful Technique for Analyzing Reliability Problems. Technometrics 12, 33–48.

Randolph, P.H., Ringeisen, R.D., 1974. A network learning model with GERT analysis. J. Math. Psychol. 11, 59–70.

W Dawson, C., J Dawson, R., 1994. Clarification of node representation in generalized activity networks for practical project management. Int. J. Proj. Manag. 12, 81–88.

Helgerson, E.H., 1977. Graphical E}valuation and Review Technique (GERT): A Stochastic Networking Scheme for Systems Acquisition Management. Virginia.

Phillips, D.T., Hogg, G.L., 1976. Stochastic network analysis with resource constraints, cost parameters, and queueing capabilities using gerts methodologies. Comput. Ind. Eng. 1, 13–25.



Sharif, M.N., Chin, W.-H., 1977. Stochastic network technique for technological forecasting. Technol. Forecast. Soc. Change 10, 259–276.

Aytulun, S.K., Guneri, A.F., 2008. Business process modelling with stochastic networks. Int. J. Prod. Res. 46, 2743–2764.

Hongyan, D., Shuanshuan, C., Chi, Z., Chunyan, L., 2021. Recent Advances on GERT Method Based on Bayesian Networks. Recent Adv. Comput. Sci. Commun.

Shapiro, J.F.B.T.-H. in O.R. and M.S., 1993. Chapter 8 Mathematical programming models and methods for production planning and scheduling. In: Logistics of Production and Inventory. Elsevier, pp. 371–443.

Neumann, K., 1979. Recent advances in temporal analysis of GERT networks. Zeitschrift für Oper. Res. 23, 153–177.

Branson, M.H., Shah, B., 1972. On Gert Modeling of a Class of Finite Queueing Processes. A I I E Trans. 4, 43–48.

Raju, G.V.S., 1971. Sensitivity Analysis of GERT Networks. A I I E Trans. 3, 133–141.

Arisawa, S., Elmaghraby, S.E., 1972. Optimal Time-Cost Trade-Offs in GERT Networks. Manage. Sci. 18, 589–599.

Watters, L.J., Vasilik, M. V., 1970. A Stochastic Network Approach to Test and Checkout. In: Fourth Conference on Applications of Simulation. pp. 01--30.

Moder, J.J., 1971. The use of GERT in planning strategies for development type projects.

Wolfe, P.M., Cochran, E.B., Thompson, W.J., 1980. A GERTS-Based Interactive Computer System for Analyzing Project Networks Incorporating Improvement Curve Concepts. A I I E Trans. 12, 70–79.

Mentzer, J.T., Cosmas, S.C., 1979. The Application of Gert Modelling and Simulation to Logistics. Int. J. Phys. Distrib. Mater. Manag. 10, 35–50.

PHILLIPS, D.T., Pritsker, A.A.B., 1975. GERT network analysis of complex production systems. Int. J. Prod. Res. 13, 223–237.

Porte, H.A., Happ, W.W., Lee, C.T., McNamee, L.P., 1972. A Stochastic Network to Model Air Cargo Terminals.

Hogg, G.L., Phillips, D.T., Maggard, M.J., Lesso, W.G., 1975. GERTS QR: A Model for Multi-Resource Constrained Queueing Systems Part I: Concepts, Notation, and Examples. A I I E Trans. 7, 89–99.

Kurihara, K., Seki, S., Akashi, K., 1984. An optimization method for investment in a project represented by GERT network. Electr. Eng. Japan 104, 135–143.

Pritsker, A. Alan B., 1977. Introduction to GASP IV. In: WSC ’77: Proceedings of the 9th Conference on Winter Simulation. Winter Simulation Conference.

Pritsker, A. Alan. B, 1977. Modelling and Analysis using Q-GERT Networks, First. ed. John Wiley & Sons, New York.

Sigal, C.E., Pritsker, A.A.B., 1974. Smooth: a combined continuous-discrete network simulation language. Simulation 22, 65–73.


Vanston, J.H., Nichols, S.P., Soland, R.M., 1977. PAF—A new probabilistic, computer-based technique for technology forecasting. Technol. Forecast. Soc. Change 10, 239–258.

Neumann, K., 1990. Scheduling with GERT Precedence Constraints BT - Stochastic Project Networks: Temporal Analysis, Scheduling and Cost Minimization. In: Neumann, K. (Ed.), . Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 116–175.

Zadeh, L.A., 1965. Fuzzy sets. Inf. Control 8, 338–353.

Fedrizzi, M., 1987. Introduction to Fuzzy Sets and Possibility Theory BT - Optimization Models Using Fuzzy Sets and Possibility Theory. In: Kacprzyk, J., Orlovski, S.A. (Eds.), . Springer Netherlands, Dordrecht, pp. 13–26.

Cheng, C.-H., 1998. A new approach for ranking fuzzy numbers by distance method. Fuzzy Sets Syst. 95, 307–317.

Zadeh, L.A., 1978. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst. 1, 3–28.

Itakura, H., Nishikawa, Y., 1984. Fuzzy network technique for technological forecasting. Fuzzy Sets Syst. 14, 99–113.

Klir, G.J., Yuan, B., 2015. Fuzzy Sets and Fuzzy Logic: Theory and Applications, Second. ed. Pearson Education India, Upper Saddle River, New Jersey.

Kuchta, D., 2001. Use of fuzzy numbers in project risk (criticality) assessment. Int. J. Proj. Manag. 19, 305–310.

Gavareshki, M.H.K., 2004. New fuzzy GERT method for research projects scheduling. In: 2004 IEEE International Engineering Management Conference (IEEE Cat. No.04CH37574). pp. 820-824 Vol.2.

McCahon, C.S., Lee, E.S., 1988. Project network analysis with fuzzy activity times. Comput. Math. with Appl. 15, 829–838.

Radziszewska-Zielina, E., Szewczyk, B., 2015. Controlling Partnering Relations In Construction Operations Using Fuzzy Reasoning. Arch. Civ. Eng. 61.

van Laarhoven, P.J.M., Pedrycz, W., 1983. A fuzzy extension of Saaty’s priority theory. Fuzzy Sets Syst. 11, 229–241.

Asl, S.T., Hashemin, S.S., 2018. Completion Time of Special Kind of GERT-Type Networks with Fuzzy Times for Activities. Int. J. Ind. Eng. 5, 1–8.

Hashemin, S.S., 2010. Fuzzy Completion Time for Alternative Stochastic Networks. J. Ind. Eng. Int. 6, 17–22.

Radziszewska-Zielina, E., Śladowski, G., Sibielak, M., 2017. Planning the reconstruction of a historical building by using a fuzzy stochastic network. Autom. Constr. 84, 242–257.

Ju-Long, D., 1982. Control problems of grey systems. Syst. Control Lett. 1, 288–294.

Liu, S., Fang, Z., Yang, Y., Forrest, J., 2012a. General grey numbers and their operations. Grey Syst. Theory Appl. 2, 341–349.

Liu, S., Forrest, J., Yang, Y., 2012b. A brief introduction to grey systems theory. Grey Syst. Theory Appl. 2, 89–104.

Liu, S., Yang, Y., Forrest, J.Y.-L., 2022. Grey Numbers and Their Operations. In: Grey Systems Analysis. Series on Grey System. Springer Nature, Singapore, pp. 39–54.

Yang, Y., John, R., 2012. Grey sets and greyness. Inf. Sci. (Ny). 185, 249–264.

Ruan, A., Liu, S., Fang, Z., 2007. Study on Grey Graphical Evaluation Review Technique Network and its application. In: 2007 IEEE International Conference on Grey Systems and Intelligent Services. pp. 1097–1100.

Yang, X., Fang, Z., Tao, L., 2017. Lifetime evaluation grey GERT network model of equipment system. In: 2017 International Conference on Grey Systems and Intelligent Services (GSIS). pp. 295–298.

Yang, B., Fang, Z., Tao, L., 2011. Model of GERT network based on grey information and its applications. In: Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services. pp. 640–644.

Gau, W.-L., Buehrer, D.J., 1993. Vague sets. IEEE Trans. Syst. Man. Cybern. 23, 610–614.

Chen, S.-M., 2003. Analyzing Fuzzy System Reliability Using Vague Set Theory. Int. J. Appl. Sci. Eng. 1, 82–88.

Umasankar, P., Thiagarasu, V., 2017. Literature Review on Vague Set Theory in Different Domains. Int. J. Recent Innov. Trends Comput. Commun. 5, 337–341.

Tague-Sutcliffe, J., 1992. An introduction to informetrics. Inf. Process. Manag. 28, 1–3.

Peña-Mora, F., Michael, L., 2001. Dynamic Planning and Control Methodology for Design/Build Fast-Track Construction Projects. J. Constr. Eng. Manag. 127, 1–17.

Wu, D.D., Kefan, X., Gang, C., Ping, G., 2010. A Risk Analysis Model in Concurrent Engineering Product Development. Risk Anal. 30, 1440–1453.

Xu, Z., Yu, J., Li, H., 2014. Analyzing Integrated Cost-Schedule Risk for Complex Product Systems R&D Projects. J. Appl. Math. 2014.

Agarwal, M., Sen, K., Mohan, P., 2007. GERT Analysis of m-Consecutive-k -Out-of-n Systems. IEEE Trans. Reliab. 56, 26–34.

Kurihara, K., Nishiuchi, N., 2002. Efficient Monte Carlo simulation method of GERT-type network for project management. Comput. Ind. Eng. 42, 521–531.

Li, C., Tang, Y., Li, C., Li, L., 2013. A Modeling Approach to Analyze Variability of Remanufacturing Process Routing. IEEE Trans. Autom. Sci. Eng. 10, 86–98.

Nelson, R.G., Azaron, A., Aref, S., 2016. The use of a GERT based method to model concurrent product development processes. Eur. J. Oper. Res. 250, 566–578.

Kosugi, T., Hayashi, A., Matsumoto, T., Akimoto, K., Tokimatsu, K., Yoshida, H., Tomoda, T., Kaya, Y., 2004. Time to realization: Evaluation of CO2 capture technology R&Ds by GERT (Graphical Evaluation and Review Technique) analyses. Energy 29, 1297–1308.

Tao, L., Wu, D., Liu, S., Lambert, J.H., 2017. Schedule risk analysis for new-product development: The GERT method extended by a characteristic function. Reliab. Eng. Syst. Saf. 167, 464–473.

Mohan, P., Agarwal, M., Sen, K., 2009. Combined m -Consecutive-k -Out-of-n: F & Consecutive kc -Out-of-n:F Systems. IEEE Trans. Reliab. 58, 328–337.

Lin, K.P., Wen, W., Chou, C.C., Jen, C.-H., Hung, K.C., 2011. Applying fuzzy GERT with approximate fuzzy arithmetic based on the weakest t-norm operations to evaluate repairable reliability. Appl. Math. Model. 35, 5314–5325.

Martínez León, H.C., Farris, J.A., Letens, G., Hernandez, A., 2013. An analytical management framework for new product development processes featuring uncertain iterations. J. Eng. Technol. Manag. 30, 45–71.

Abdi, R., Ghasemzadeh, H.R., Abdollahpour, S., Sabzeparvar, M., Nasab, A.D.M., 2010. Modeling and Analysis of Mechanization Projects of Wheat Production by GERT Networks. Agric. Sci. China 9, 1078–1083.

Tao, L.Y., Liu, S.F., Fang, Z.G., Yuan, C.Q., 2013. SIGN-GERT Model on Dynamic Analysis for Schedule Risks of Complex Equipment Development. J. GREY Syst. 25, 100-111 WE-Science Citation Index Expanded (SCI-.

Li, C., Liu, S., 2012. A stochastic network model for ordering analysis in multi-stage supply chain systems. Simul. Model. Pract. Theory 22, 92–108.

Yan, S., Zeng, X., Xiong, P., Zhang, N., 2022. G-GERT network model of online public opinion reversal based on kernel and grey degree. Grey Syst. Theory Appl. 12, 142–155.

Cheng, C.-H., 1996. Fuzzy repairable reliability based on fuzzy gert. Microelectron. Reliab. 36, 1557–1563.

Ganjihal, G.A., Ganjihal, V.A., Kwati, K.S., 2023. Bradford’s law applicability to the Bacterial Blight research: A bibliometric study. Int. Adv. Res. J. Sci. Eng. Technol. 10, 2394–1588.

Mahajan, S., 2023. In Pursuit of Electronics Literature and Bradford’s Law of Scattering & Leimkuhler Model: A Study Based on Web of Science Database. J. INDIAN Libr. Assoc. 59, 101–113.

Liang, A., Tao, L., Lei, H., 2023. Combined machine-learning and EDM to monitor and predict a complex project with a GERT-type network: A multi-point perspective. Comput. Ind. Eng. 180, 109256.

Aksyonov, K., Antonova, A., Sysoletin, E., 2018. Comparative Analysis of Subcontracting Scheduling Methods. In: Pattnaik, P.K., Rautaray, S.S., Das, H., Nayak, J. (Eds.), Progress in Computing, Analytics and Networking. Springer Singapore, Singapore, pp. 439–448.

Aksyonov, K., Antonova, A., 2017. Analysis of Subcontracting Scheduling Methods Based on Modeling. In: 2017 European Modelling Symposium (EMS). pp. 138–141.

Roy, S.K., Sarkar, A.K., Mahanty, B., 2018. Simulating R&D decision for critical subsystems in defence R&D projects. World J. Sci. Technol. Sustain. Dev. 15, 54–71.

Yi-song, Z., Dong, L., Feng, Z., 2009. Study on a GERT based method for hi-tech product development project planning. In: 2009 16th International Conference on Industrial Engineering and Engineering Management. pp. 1022–1026.

Xu, Z., Li, H., 2013. Assessing Performance Risk for Complex Product Development: A Simulation-Based Model. Qual. Reliab. Eng. Int. 29, 267–275.

Śladowski, G., Szewczyk, B., Sroka, B., Radziszewska-Zielina, E., 2019. Using Stochastic Decision Networks to Assess Costs and Completion Times of Refurbishment Work in Construction. Symmetry (Basel).

Shankar, G., Chourasia, P.K., 2010. Conditional Corrective Action Plan for Three Attribute Classes. J. Stat. Theory Pract. 4, 323–336.

TODOROVA, M., 2019. GERT Model Of A Technical Station For Determining The Passenger Trainset Delay. Transp. Probl. 14, 81–93.

Zhigeng, F., Shuang, W., Xiaoli, Z., Yunke, S., 2021. ADC-GERT network parameter estimation model for mission effectiveness of joint operation system. J. Syst. Eng. Electron. 32, 1394–1406.

Agrawal, S., K. Singh, R., Murtaza, Q., 2014. Forecasting product returns for recycling in Indian electronics industry. J. Adv. Manag. Res. 11, 102–114.

Wang, C.-N., Yang, G.K., Hung, K.-C., Chang, K.-H., Chu, P., 2011. Evaluating the manufacturing capability of a lithographic area by using a novel vague GERT. Expert Syst. Appl. 38, 923–932.

Zhang, X., Liu, W., 2020. Complex Equipment Remanufacturing Schedule Management Based on Multi-Layer Graphic Evaluation and Review Technique Network and Critical Chain Method. IEEE Access 8, 108972–108987.

Geng, S., Liu, S., Fang, Z., Gao, S., 2021. A reliable framework for satellite networks achieving energy requirements. Reliab. Eng. Syst. Saf. 216, 107939.

Chen, X., Wu, Y., Liao, J., Zuo, W., Zhong, R., 2022. Distinguishing the most valuable consumers in social commerce using graphical evaluation and review technique – in the view of incentives. Kybernetes ahead-of-p.

Wu, Y., Pan, X., Kang, R., He, C., Gong, L., 2014. Multi-parameters uncertainty analysis of logistic support process based on GERT. J. Syst. Eng. Electron. 25, 1011–1019.

Li, C.-L., Lu, L., 2017. Research on emergency logistics distribution in complex environment based on GERT. In: 2017 International Conference on Machine Learning and Cybernetics (ICMLC). pp. 1–7.

Hu, M., Fang, Z., Liu, S., Chen, W., Yang, B., 2010. Study on evolution mechanism of fateful stampede accident based on graphical evaluation and review technique. In: 2010 IEEE International Conference on Systems, Man and Cybernetics. pp. 2976–2978.

Abdi, R., Ghasemzadeh, H., Abdoullahpur, S., Sabzeparvar, M., Nasab, A.D.M., 2009. Modeling and resource allocation of agricultural mechanization projects with GERT networks. J. FOOD Agric. Environ. 7, 438–441.

Mubarak, S.A., 2019. Construction Project Scheduling and Control, Fourth. ed. John Wiley & Sons, New Jersey.




How to Cite

Pregina, K. ., & Vasugi, K. . (2024). Advancing Construction Scheduling: Unravelling Challenges Through GERT. International Journal of Intelligent Systems and Applications in Engineering, 12(14s), 63–83. Retrieved from



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