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A review of methods, techniques and tools for project planning and control

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  • Robert Pellerin
  • Nathalie Perrier

Abstract

The purpose of this article is to provide a brief review of methods and techniques developed for the most commonly studied decision-making problems in project planning and control over the last decade. These problems involve project representation, project scheduling, resource allocation, risk analysis, time and cost performance evaluation, time, cost, and cash flow forecasting, optimal timing of control points, and corrective action decision-making. We also review recent tools developed for project planning and control. The emphasis is on recent contributions, but several older yet important works are also cited. Our analysis shows an increasing attention to the stochastic nature of projects in planning and control decision and processes. Recent attention has also been put at improvements in existing project control techniques as well as developing new methods to automate data collection, process, and generate more integrated project plan. More importantly, our review highlights an important shift in the project planning and control research field, which has been largely dominated by the project scheduling literature in the past, as short term and reactive decision-making bring new challenges and opportunities to project organisations and researchers.

Suggested Citation

  • Robert Pellerin & Nathalie Perrier, 2019. "A review of methods, techniques and tools for project planning and control," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2160-2178, April.
  • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:7:p:2160-2178
    DOI: 10.1080/00207543.2018.1524168
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    Citations

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    Cited by:

    1. Fernando Acebes & David Poza & Jose M Gonzalez-Varona & Javier Pajares & Adolfo Lopez-Paredes, 2024. "On the project risk baseline: integrating aleatory uncertainty into project scheduling," Papers 2406.00077, arXiv.org.
    2. Kosztyán, Zsolt T. & Pribojszki-Németh, Anikó & Szalkai, István, 2019. "Hybrid multimode resource-constrained maintenance project scheduling problem," Operations Research Perspectives, Elsevier, vol. 6(C).
    3. Shahid Ali & Qingyou Yan & Muhammad Sajjad Hussain & Muhammad Irfan & Munir Ahmad & Asif Razzaq & Vishal Dagar & Cem Işık, 2021. "Evaluating Green Technology Strategies for the Sustainable Development of Solar Power Projects: Evidence from Pakistan," Sustainability, MDPI, vol. 13(23), pages 1-29, November.
    4. Mateusz Trzeciak & Izabela Jonek-Kowalska, 2021. "Monitoring and Control in Program Management as Effectiveness Drivers in Polish Energy Sector. Diagnosis and Directions of Improvement," Energies, MDPI, vol. 14(15), pages 1-25, July.
    5. Pankaj Tiwari & B Suresha, 2021. "Moderating Role of Project Innovativeness on Project Flexibility, Project Risk, Project Performance, and Business Success in Financial Services," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(3), pages 179-196, September.
    6. Abeysekara, Baudhi & Perera, Piyaruwan & Chhipi Shrestha, Gyan Kumar & Gunaruwan, Lalithasiri & Kumarage, Amal & Sadiq, Rehan & Hewage, Kasun, 2021. "Improving the capital deployment efficiency: An infrastructure investment planning process in transportation project," Research in Transportation Economics, Elsevier, vol. 88(C).
    7. Gehring, Marco & Winkler, Franziska & Volk, Rebekka & Schultmann, Frank, 2021. "Projektmanagementsoftware und Scheduling: Aktuelle Bestandsaufnahme von Funktionalitäten und Identifikation von Potenzialen," Working Paper Series in Production and Energy 60, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    8. Soumi Majumder & Soumyajit Majumder & Debasish Biswas, 2022. "Impact of effective construction planning in project performance improvement," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2253-2264, August.

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