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Cash-Flow Schedules Optimization within Life Cycle Costing (LCC)

Author

Listed:
  • Jerzy Rosłon

    (Civil Engineering Faculty, Warsaw University of Technology; 00-637 Warsaw, Poland)

  • Mariola Książek-Nowak

    (Civil Engineering Faculty, Warsaw University of Technology; 00-637 Warsaw, Poland)

  • Paweł Nowak

    (Civil Engineering Faculty, Warsaw University of Technology; 00-637 Warsaw, Poland)

  • Jacek Zawistowski

    (Polish Association of Building Managers, 00-688 Warsaw, Poland)

Abstract

Investment and construction plans, architectural and construction decisions, and spatial and technology-related decisions made at the early stages of a project have a significant impact on meeting the investment goals and customer expectations. Decision making is a very time-consuming and complicated process (due to the complexity of construction processes). The whole difficulty comes to specifying the appropriate criteria for assessing the given activities, providing answers to the questions of the decision-making bodies. A set of appropriate criteria and mathematical tools (such as computer algorithms with multi-criteria analysis) can significantly improve and accelerate the decision-making process. This article combines ESORD (an IT tool that allows you to compare different types of solutions based on mathematical calculations) with the Monte Carlo method. The developed approach can help the investor to optimize their cash-flow schedule. The original method enables the client to select a construction project variant characterized by the best economical and sustainable parameters, while taking into account customers’ demands.

Suggested Citation

  • Jerzy Rosłon & Mariola Książek-Nowak & Paweł Nowak & Jacek Zawistowski, 2020. "Cash-Flow Schedules Optimization within Life Cycle Costing (LCC)," Sustainability, MDPI, vol. 12(19), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8201-:d:423929
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    References listed on IDEAS

    as
    1. Carlo Mari, 2020. "Stochastic NPV Based vs Stochastic LCOE Based Power Portfolio Selection Under Uncertainty," Energies, MDPI, vol. 13(14), pages 1-18, July.
    2. Huynh, Toan Luu Duc & Wu, Junjie & Duong, An Trong, 2020. "Information Asymmetry and firm value: Is Vietnam different?," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
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    Cited by:

    1. Frantisek Kuda & Petr Dlask & Marek Teichmann & Vaclav Beran, 2022. "Time–Cost Schedules and Project–Threats Indication," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    2. Janusz Kulejewski & Jerzy Rosłon, 2023. "Optimization of Ecological and Economic Aspects of the Construction Schedule with the Use of Metaheuristic Algorithms and Artificial Intelligence," Sustainability, MDPI, vol. 15(1), pages 1-26, January.
    3. Janusz Kulejewski & Nabi Ibadov & Jerzy Rosłon & Jacek Zawistowski, 2021. "Cash Flow Optimization for Renewable Energy Construction Projects with a New Approach to Critical Chain Scheduling," Energies, MDPI, vol. 14(18), pages 1-15, September.

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