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Chan, A T S and Chan, E H W (2005) Impact of Perceived Leadership Styles on Work Outcomes: Case of Building Professionals. Journal of Construction Engineering and Management, 131(04), 413–22.
Cheng, E W L and Li, H (2005) Analytic Network Process Applied to Project Selection. Journal of Construction Engineering and Management, 131(04), 459–66.
Ekström, M A and Björnsson, H C (2005) Valuing Flexibility in Architecture, Engineering, and Construction Information Technology Investments. Journal of Construction Engineering and Management, 131(04), 431–8.
El-Rayes, K and Hyari, K (2005) {[}CONLIGHT:{]} Lighting Design Model for Nighttime Highway Construction. Journal of Construction Engineering and Management, 131(04), 467–76.
El-Rayes, K and Kandil, A (2005) Time-Cost-Quality Trade-Off Analysis for Highway Construction. Journal of Construction Engineering and Management, 131(04), 477–86.
Elazouni, A M and Metwally, F G (2005) Finance-Based Scheduling: Tool to Maximize Project Profit Using Improved Genetic Algorithms. Journal of Construction Engineering and Management, 131(04), 400–12.
- Type: Journal Article
- Keywords: Computer aided scheduling; Financial management; Algorithms; Optimization models; Construction management;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:4(400)
- Abstract:
Contractor’s ability to procure cash to carry out construction operations represents a crucial factor to run profitable business. Bank overdrafts have always been the major source to finance construction projects. However, it is not uncommon that bankers set a limit on the credit allocated to an established overdraft. Bankers’ interest rates and consequently contractors’ financing costs are basically determined based on the allocated credit limits. Furthermore, project indirect costs are directly proportional to the project duration which is affected by the allocated credit limit. Thus, the credit limit affects project financing costs and indirect costs which in turn affect project profit. However, finance-based scheduling produces financially executable schedules at specified credit limits while maintaining the demand of time minimization. Thus, finance-based scheduling provides a tool to control the credit requirements. This control enables contractors to negotiate lower interest rates which reduce financing costs. Thus, finance-based scheduling enables contractors to reduce project indirect costs and financing costs. This paper utilizes genetic algorithm’s technique to devise finance-based schedules that maximize project profit through minimizing financing costs and indirect costs.
Gil, N, Tommelein, I D, Stout, A and Garrett, T (2005) Embodying Product and Process Flexibility to Cope with Challenging Project Deliveries. Journal of Construction Engineering and Management, 131(04), 439–48.
Hinze, J (2005) Use of Trench Boxes for Worker Protection. Journal of Construction Engineering and Management, 131(04), 494–500.
Lee, E and Ibbs, C W (2005) Computer Simulation Model: Construction Analysis for Pavement Rehabilitation Strategies. Journal of Construction Engineering and Management, 131(04), 449–58.
Liu, M and Ling, Y Y (2005) Modeling a Contractor’s Markup Estimation. Journal of Construction Engineering and Management, 131(04), 391–9.
Navon, R and Shpatnitsky, Y (2005) Field Experiments in Automated Monitoring of Road Construction. Journal of Construction Engineering and Management, 131(04), 487–93.
Zhang, J, Eastham, D L and Bernold, L E (2005) Waste-Based Management in Residential Construction. Journal of Construction Engineering and Management, 131(04), 423–30.