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Heuristic method for multi-project finance-based scheduling

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  • Ashraf Elazouni

Abstract

A heuristic method is proposed for scheduling multiple projects subject to cash constraints. The heuristic determines cash availability during a given period, identifies all possible activities' schedules, determines the cash requirements for each schedule, ranks schedules based on the contribution to minimizing the increase in the project duration, schedules all activities of the selected schedule and determines the impact of the scheduled activities on the project cash flow. The effectiveness of the heuristic method was validated by comparing the results with the optimum results obtained by using the integer programming (IP) technique for 15 networks comprising up to 60 activities. The comparison indicated that the solutions obtained using the proposed heuristic are very comparable to the optimum solutions. An example of two concurrent projects was presented to demonstrate the proposed heuristic method. The proposed heuristic offers the ultimate flexibility to enter cash outflows and inflows at the actual occurrence time, the ability to rationalize the scheduling process, the flexibility to either devise or update schedules, and the ability to schedule practical-size multiple projects. Finally, this heuristic can be easily coded in software to help managers schedule projects under finance-constrained conditions.

Suggested Citation

  • Ashraf Elazouni, 2009. "Heuristic method for multi-project finance-based scheduling," Construction Management and Economics, Taylor & Francis Journals, vol. 27(2), pages 199-211.
    • Handle: RePEc:taf:conmgt:v:27:y:2009:i:2:p:199-211
    DOI: 10.1080/01446190802673110
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    References listed on IDEAS

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    1. A. H. Russell, 1970. "Cash Flows in Networks," Management Science, INFORMS, vol. 16(5), pages 357-373, January.
    2. Robert A. Russell, 1986. "A Comparison of Heuristics for Scheduling Projects with Cash Flows and Resource Restrictions," Management Science, INFORMS, vol. 32(10), pages 1291-1300, October.
    3. Rema Padman & Dwight E. Smith‐Daniels & Vicki L. Smith‐Daniels, 1997. "Heuristic scheduling of resource‐constrained projects with cash flows," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(4), pages 365-381, June.
    4. Huan Neng Chiu & Deng Maw Tsai, 2002. "An efficient search procedure for the resource-constrained multi-project scheduling problem with discounted cash flows," Construction Management and Economics, Taylor & Francis Journals, vol. 20(1), pages 55-66.
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    Cited by:

    1. He, Yukang & Jia, Tao & Zheng, Weibo, 2023. "Tabu search for dedicated resource-constrained multiproject scheduling to minimise the maximal cash flow gap under uncertainty," European Journal of Operational Research, Elsevier, vol. 310(1), pages 34-52.
    2. Mahir Msawil & Faris Elghaish & Krisanthi Seneviratne & Stephen McIlwaine, 2021. "Developing a Parametric Cash Flow Forecasting Model for Complex Infrastructure Projects: A Comparative Study," Sustainability, MDPI, vol. 13(20), pages 1-26, October.
    3. Yukang He & Tao Jia & Weibo Zheng, 2024. "Simulated annealing for centralised resource-constrained multiproject scheduling to minimise the maximal cash flow gap under different payment patterns," Annals of Operations Research, Springer, vol. 338(1), pages 115-149, July.
    4. Yuvraj Gajpal & Ashraf Elazouni, 2015. "Enhanced heuristic for finance-based scheduling of construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 33(7), pages 531-553, July.

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