A construction project cash flow model—an idiographic approach

A financial decision making framework for construction projects based on 5D Building Information Modeling (BIM)

“…Various approaches were proposed for more accurate cash flow forecasting (Boussabaine and Kaka, 1998;Kaka, 1996;Kenley and Wilson, 1986;Miskawi, 1989;Navon, 1996;Tucker, 1986). Barbosa and Pimentel (2001) developed a linear programming model by dealing with typical financial transactions, possible delays on payments, use of available credit lines, effect of changing interest rates, and budget constraints.…”

Predicting project progress via estimation of S-curve's key geometric feature values

“…(1) to the actual progress data of 27 projects in Skitmore [12] as well as 101 projects for the second freeway of Taiwan and measured its closeness of fit. For both sets, an average RMSE of less than 0.025 was achieved, comparable to that of using the widely cited Logit transformation formula in Kenley and Wilson [8]. Chao and Chien [2] also used four project attributes, i.e.…”

“…Eq. (1) can meet an S-curve's boundary conditions of (x = 0, y = 0) and (x = 1, y = 1) and has a more succinct form than other formulas such as the Logit transformation formula in Kenley and Wilson [8]; hence it is more convenient when used in calculating progress. Setting the values of a, b properly can produce a suitable S-curve with an inflection point connecting two arcs, a convex one followed by a concave one, within the two boundaries, while changing the values of a, b can produce S-curves with different geometrical properties.…”

“…As an alternative to estimating S-curves, many empirical models that derive from progress data of past projects and use mathematical formulas to make progress a function of time for simplifying processing have been proposed over the years, e.g. Kenley and Wilson [8], Skitmore [12], Kaka and Price [7], Blyth and Kaka [1], Chao and Chien [2], Chao and Chien [3].…”

Classification of articles and journals on project control and earned value management

“…It might indeed be interesting to know when cash shortages could occur and what their size will be. Regression analysis and growth models provide a means to fit estimated data points to an S-curve (CurveD) (Kenley and Wilson, 1986). However, these curve-fitting techniques do not provide a confidence interval around its estimates.…”