Items with Index Term: s-curve

Al-Gahtani, K; Alsugair, A; Alsanabani, N; Alabduljabbar, A and Almutairi, B (2024) Forecasting delay-time model for Saudi construction projects using DEMATEL–sd technique. International Journal of Construction Management, 24(11), pp. 1225-1239. ISSN 1562-3599

Ashrafi, R M (1981) Risk analysis in management planning and project control: probabilistic techniques are applied to the estimation, planning, forecasting and control of large capital projects to ascertain and reduce the degree of inherent risk and uncertainty. PhD thesis, University of Bradford, UK.

Barraza, G A; Back, W E and Mata, F (2000) Probabilistic monitoring of project performance using ss-curves. Journal of Construction Engineering and Management, 126(2), pp. 142-148. ISSN 0733-9364

Barraza, G A; Back, W E and Mata, F (2004) Probabilistic forecasting of project performance using stochastic S curves. Journal of Construction Engineering and Management, 130(1), pp. 25-32. ISSN 0733-9364

Barraza, G A and Bueno, R A (2007) Probabilistic control of project performance using control limit curves. Journal of Construction Engineering and Management, 133(12), pp. 957-965. ISSN 0733-9364

Bhaumik, P K (2016) Developing and using a new family of project S-curves using early and late shape parameters. Journal of Construction Engineering and Management, 142(12): 04016076, ISSN 0733-9364

Blyth, K and Kaka, A (2006) A novel multiple linear regression model for forecasting S-curves. Engineering, Construction and Architectural Management, 13(1), pp. 82-95. ISSN 0969-9988

Blyth, K A (2002) A computer model that forecasts the cash flow of building projects at the tender stage using stage payments. PhD thesis, University of Liverpool, UK.

Cajzek, R and Klanšek, U (2019) Cost optimization of project schedules under constrained resources and alternative production processes by mixed-integer nonlinear programming. Engineering, Construction and Architectural Management, 26(10), pp. 2474-2508. ISSN 0969-9988

Chan, A P C; Chan, M W; Oppong, G D; Adabre, M A; Darko, A and Liu, W (2025) Developing a project surveillance system to monitor and control building projects: The case of Hong Kong. International Journal of Construction Management, 25(16), pp. 1952-1967. ISSN 1562-3599

Chao, L C and Chien, C F (2009) Estimating project S-curves using polynomial function and neural networks. Journal of Construction Engineering and Management, 135(3), pp. 169-177. ISSN 0733-9364

Cheng, Y M; Yu, C H and Wang, H T (2011) Short-interval dynamic forecasting for actual S-curve in the construction phase. Journal of Construction Engineering and Management, 137(11), pp. 933-941. ISSN 0733-9364

Choy, C F (2011) Revisiting the 'Bon Curve'. Construction Management and Economics, 29(7), pp. 695-712. ISSN 1466433X

Evans, R C (2002) Dynamic cash flow forecasting model for construction contractors. PhD thesis, University of Liverpool, UK.

Evans, R C and Kaka, A P (1998) Analysis of the accuracy of standard/average value curves using food retail building projects as case studies. Engineering, Construction and Architectural Management, 5(1), pp. 58-67. ISSN 0969-9988

Evans, R C; Kaka, A P and Lewis, J (1997) Adopting a semi-ideographic approach to cash flow forecasting. In: Stephenson, P (ed.) Proceedings of 13th Annual ARCOM Conference, 15-17 September 1997, Cambridge, UK.

Faraji, A (2021) Neuro-fuzzy system based model for prediction of project performance in downstream sector of petroleum industry in Iran. Journal of Engineering, Design and Technology, 19(6), pp. 1268-1290. ISSN 1726-0531

Firouzi, A and Khayyati, M (2020) Bayesian updating of Copula-based probabilistic project-duration model. Journal of Construction Engineering and Management, 146(5): 04020046, ISSN 0733-9364

Hanna, A S (2012) Using the earned value management system to improve electrical project control. Journal of Construction Engineering and Management, 138(3), pp. 449-457. ISSN 0733-9364

Hanna, A S; Peterson, P and Lee, M J (2002) Benchmarking productivity indicators for electrical/mechanical projects. Journal of Construction Engineering and Management, 128(4), pp. 331-337. ISSN 0733-9364

Hasan, M and Lu, M (2021) Error propagation model for analyzing project labor cost budget risks in industrial construction. Journal of Construction Engineering and Management, 147(4): 2010, ISSN 0733-9364

Hwang, B G; Shan, M; Zhu, L and Lim, W C (2020) Cost control in megaprojects: Efficacy, tools and techniques, key knowledge areas and project comparisons. International Journal of Construction Management, 20(5), pp. 437-449. ISSN 1562-3599

Jaafar, T (1992) A unified methodology for project planning risk. PhD thesis, Nottingham Trent University, UK.

Kaka, A P (1996) Towards more flexible and accurate cash flow forecasting. Construction Management and Economics, 14(1), pp. 35-44. ISSN 01446193

Kaka, A P and Boussabaine, A H (1999) Updating techniques for cumulative cost forecasting on construction projects. Journal of Construction Procurement, 5(2), pp. 141-158. ISSN 1358-9180

Kaka, A P and Fortune, C (2002) Net cash flow models: Towards the black box approach. In: Greenwood, D (ed.) Proceedings of 18th Annual ARCOM Conference, 2-4 September 2002, Northumbria, UK.

Kaka, A P and Khosrowshahi, F (1996) Effect of different procurement routes on contractors' cash flows. Engineering, Construction and Architectural Management, 3(1-2), pp. 133-145. ISSN 0969-9988

Kaka, A P; Lewis, J and Petros, H (2003) The effects of the variability of project planning on cost commitment curves: A case study. Engineering, Construction and Architectural Management, 10(1), pp. 15-26. ISSN 0969-9988

Kaka, A P and Price, A D F (1993) Modelling standard cost commitment curves for contractors' cash flow forecasting. Construction Management and Economics, 11(4), pp. 271-283. ISSN 01446193

Kenley, Russell (1986) Construction project cash flow modelling. PhD thesis, University of Melbourne, Australia.

Kern, A P and Formoso, C T (2006) A model for integrating cost management and production planning and control in construction. Journal of Financial Management of Property and Construction, 11(2), pp. 75-90. ISSN 1366-4387

Kim, B C and Kim, H J (2014) Sensitivity of earned value schedule forecasting to S-curve patterns. Journal of Construction Engineering and Management, 140(7): 04014023, ISSN 0733-9364

Kim, B C and Reinschmidt, K F (2010) Probabilistic forecasting of project duration using Kalman filter and the earned value method. Journal of Construction Engineering and Management, 136(8), pp. 834-843. ISSN 0733-9364

Klanšek, U (2016) Mixed-integer nonlinear programming model for nonlinear discrete optimization of project schedules under restricted costs. Journal of Construction Engineering and Management, 142(3): 04015088, ISSN 0733-9364

Konior, J and Szóstak, M (2023) Course of planned, actual and earned cost curves of diverse construction investments. International Journal of Construction Management, 23(5), pp. 865-876. ISSN 1562-3599

Lucko, G (2011) Optimizing cash flows for linear schedules modeled with singularity functions by simulated annealing. Journal of Construction Engineering and Management, 137(7), pp. 523-535. ISSN 0733-9364

Miskawi, Z (1989) An S-curve equation for project control. Construction Management and Economics, 7(2), pp. 115-124. ISSN 01446193

North, Steve (2003) Clients' 3D visualisation of construction performance: from s-curves to data surfaces. PhD thesis, University College London, UK.

Oberlender, G D and Trost, S M (2001) Predicting accuracy of early cost estimates based on estimate quality. Journal of Construction Engineering and Management, 127(3), pp. 173-182. ISSN 0733-9364

Odeyinka, H A and Lowe, J G (2000) An assessment of risk factors involved in modelling cash flow forecasting. In: Akintoye, A (ed.) Proceedings of 16th Annual ARCOM Conference, 6-8 September 2000, Glasgow, UK.

Russell, J S; Jaselskis, E J and Lawrence, S P (1997) Continuous assessment of project performance. Journal of Construction Engineering and Management, 123(1), pp. 64-71. ISSN 0733-9364

Shah, R K (2011) Innovative methodology for location-based scheduling and visualisation of earthworks in road construction projects. PhD thesis, Teesside University, UK.

Shah, R K and Dawood, N (2011) An innovative approach for generation of a time location plan in road construction projects. Construction Management and Economics, 29(5), pp. 435-448. ISSN 1466433X

Tucker, S N (1986) Formulating construction cash flow curves using a reliability theory analogy. Construction Management and Economics, 4(3), pp. 179-188. ISSN 01446193

Tucker, S N (1988) A single alternative formula for department of health and social security S-curves. Construction Management and Economics, 6(1), pp. 13-23. ISSN 01446193

Türkakın, O H; Manisalı, E and Arditi, D (2020) Delay analysis in construction projects with no updated work schedules. Engineering, Construction and Architectural Management, 27(10), pp. 2893-2909. ISSN 0969-9988

Yang, J B and Chen, Y F (2025) S-curve adjustment approaches for a force majeure event: COVID-19 as an example. Engineering, Construction and Architectural Management, 32(3), pp. 1621-1642. ISSN 0969-9988

Yi, J S (2003) CAMP (CAse Matching Prediction): A dynamic forecasting model for periodic expenditures of residential building projects. PhD thesis, University of Wisconsin - Madison, USA.