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Ahmed, S M, Sang, L P and Torbica, & M (2003) Use of Quality Function Deployment in Civil Engineering Capital Project Planning. Journal of Construction Engineering and Management, 129(04), 358–68.

Allouche, E N, Ariaratnam, S T and MacLeod, C W (2003) Software for Planning and Cost Control in Directional Drilling Projects. Journal of Construction Engineering and Management, 129(04), 446–53.

Attalla, M and Hegazy, T (2003) Predicting Cost Deviation in Reconstruction Projects: Artificial Neural Networks versus Regression. Journal of Construction Engineering and Management, 129(04), 405–11.

Chan, E H W and Tse, R Y C (2003) Cultural Considerations in International Construction Contracts. Journal of Construction Engineering and Management, 129(04), 375–81.

Chang, A S and Tsai, Y (2003) Engineering Information Classification System. Journal of Construction Engineering and Management, 129(04), 454–60.

Cheng, M and Ko, C (2003) Object-Oriented Evolutionary Fuzzy Neural Inference System for Construction Management. Journal of Construction Engineering and Management, 129(04), 461–9.

Fu, W K, Drew, D S and Lo, H P (2003) Competitiveness of Inexperienced and Experienced Contractors in Bidding. Journal of Construction Engineering and Management, 129(04), 388–95.

Hassim, S, Kadir, M R A, Lew, Y and Sim, Y (2003) Estimation of Minimum Working Capital for Construction Projects in Malaysia. Journal of Construction Engineering and Management, 129(04), 369–74.

  • Type: Journal Article
  • Keywords: Capital; Malaysia; Cost control; Contractors; Financial management; Construction management; project management; construction industry; civil engineering; cost optimal control;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2003)129:4(369)
  • Abstract:
    Forecasting cash requirements is essential for all contractors during the tendering stage since cash flow at the beginning of the project is a major cause of construction companies’ failure. Unfortunately, estimating minimum working capital (MWC) is not the mainstream practice of the majority of contractors in Malaysia, who find that the present models for estimating MWC are cumbersome and seldom give an accurate estimate. Therefore estimates of MWC made during the tendering stage need to be simplified so they can be prepared quickly with minimum input. It is important for the developer or owner to select a qualified contractor with competent financial backing. This paper establishes the relationship among the factors that contribute to MWC requirements and presents a simple model that could be used as a guide to estimate MWC for housing construction projects in Malaysia. The estimation is based on percentages of variables of contract value based on the historical data that influence MWC; the MWC obtained is then expressed in terms of percentage of contract value.

Hegazy, T and Petzold, K (2003) Genetic Optimization for Dynamic Project Control. Journal of Construction Engineering and Management, 129(04), 396–404.

Ibbs, C W, Kwak, Y H, Ng, T and Odabasi, A M (2003) Project Delivery Systems and Project Change: Quantitative Analysis. Journal of Construction Engineering and Management, 129(04), 382–7.

Lee, S and Halpin, D W (2003) Predictive Tool for Estimating Accident Risk. Journal of Construction Engineering and Management, 129(04), 431–6.

Lu, M and Li, H (2003) Resource-Activity Critical-Path Method for Construction Planning. Journal of Construction Engineering and Management, 129(04), 412–20.

Navon, R and Goldschmidt, E (2003) Can Labor Inputs be Measured and Controlled Automatically?. Journal of Construction Engineering and Management, 129(04), 437–45.

Warszawski, A (2003) Analysis of Costs and Benefits of Tall Buildings. Journal of Construction Engineering and Management, 129(04), 421–30.