Defourny, N., Perrier, L., Borras, J.-M., Coffey, M., Corral, J., Hoozée, S., Loon, J. van, Grau, C., & Lievens, Y. (2019). National costs and resource requirements of external beam radiotherapy: A time-driven activity-based costing model from the ESTRO-HERO project. Radiotherapy and Oncology, 138, 187–194. The article explores estimation techniques that are used to generate real-world data, along with assisting to inform national resource planning efforts.
Barbu, A.-M., & Sandu, M. (2020). The importance and necessity of cost management of construction projects. Urbanism. Architecture. Constructions / Urbanism. Arhitectura. Constructii, 11(2), 215-225. The article explores state-of-the-art techniques to estimate construction costs for construction projects and stresses the importance of proper monitoring during this process.
Bragadin, M. A., Ballabeni, A. & Kähkönen, K. (2018). Using genetic algorithms for optimizing and modelling time, cost and quality tradeoffs of construction projects. In_Bo, 9(13), 200–207. The article explores a specific approach where three possible estimates for time, cost and quality form starting points for the optimization of project performance are identified.
Pellerin, R., & Perrier, N. (2019). A review of methods, techniques and tools for project planning and control. International Journal of Production Research, 57(7), 2160-2178. This article provides an overview of methods and techniques developed for the most commonly studied decision-making problems in project management.
Hwang, S. (2016). A Bayesian approach for forecasting errors of budget cost estimates. Journal of Civil Engineering & Management, 22(2), 178-186. This article explores estimation of budgets for effective management of construction projects. It also explores risk management factors as it pertains to cost contingency planning, Bayesian approaches, and estimation errors.
Hussein, B., & Moselhi, O. (2019). An evolutionary stochastic discrete time-cost trade-off method. Canadian Journal of Civil Engineering, 7, 581-600. The article introduces a newly developed method for optimized time-cost trade-off under uncertainty. It identifies the optimal execution mode for each project activity that results in minimizing the overall project cost and (or) duration while satisfying a specified joint confidence level of both time and cost.