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Modeling the Transformation of Configuration Management Processes in a Multi-Project Environment

Author

Listed:
  • Nataliia Dotsenko

    (Project Management in Urban Management and Construction Department, O.M. Beketov National University of Urban Economy in Kharkiv, 61002 Kharkiv, Ukraine)

  • Igor Chumachenko

    (Project Management in Urban Management and Construction Department, O.M. Beketov National University of Urban Economy in Kharkiv, 61002 Kharkiv, Ukraine)

  • Andrii Galkin

    (Transport System and Logistics Department, O.M. Beketov National University of Urban Economy in Kharkiv, 61002 Kharkiv, Ukraine)

  • Heorhii Kuchuk

    (Computer Engineering and Programming Department, National Technical University “Kharkiv Polytechnic Institute”, 61000 Kharkiv, Ukraine)

  • Dmytro Chumachenko

    (Mathematical Modeling and Artificial Intelligence Department, National Aerospace University “Kharkiv Aviation Institute”, 61070 Kharkiv, Ukraine
    Ubiquitous Health Technology Lab, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

Abstract

Human resource management during project implementation in a multi-project environment requires addressing the resource-constrained project scheduling problem. Agile methodologies allow for greater management flexibility, necessitating an agile transformation of human resource management processes. Changes occurring in human resource management lead to modifications in the initial project team and alterations in the state of the resource pool in a multi-project environment. To ensure controllable changes in the project team and address the task of allocating (reallocating) limited resources among project tasks in a multi-project environment with subsequent optimization based on a selected criterion, it is proposed to use configuration management of human resources. Depending on the chosen level of detail, project specifics, and the implementation environment, configuration elements can be an executor, project team, or intact team. Types of equivalence applied to the set of configuration elements have been classified. A model of the configuration management process for human resources has been considered. Using the proposed model will allow for formalizing the process of implementing human resource configuration management in a multi-project environment. Constructive enumeration of configuration elements in a multi-project environment has been examined. Identifying a typical representative of the configuration and considering the given equivalence, followed by selecting a resource allocation/reallocation option that meets the specified constraints, enhances team adaptability. An example of configuration management in addressing team composition management tasks has been discussed. The proposed approach can be applied in managing human resources for agile transformation projects of critical infrastructure, particularly in the healthcare sector, during the establishment of hospital clusters and supercluster medical institutions. This is because implementing such projects necessitates continuous monitoring of changes and requirements for resource provisioning.

Suggested Citation

  • Nataliia Dotsenko & Igor Chumachenko & Andrii Galkin & Heorhii Kuchuk & Dmytro Chumachenko, 2023. "Modeling the Transformation of Configuration Management Processes in a Multi-Project Environment," Sustainability, MDPI, vol. 15(19), pages 1-13, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14308-:d:1249439
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    References listed on IDEAS

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    1. Moghaddas, Zohreh & Tosarkani, Babak Mohamadpour & Yousefi, Samuel, 2022. "Resource reallocation for improving sustainable supply chain performance: An inverse data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 252(C).
    2. Chun Song & Lionel J. Beaulieu & Indraneel Kumar & Roberto Gallardo, 2023. "COVID-19-Induced Automation: An Exploratory Study of Critical Occupations," Economic Development Quarterly, , vol. 37(2), pages 183-197, May.
    3. Glaudia Califano & David Spinks, 2021. "Adopting Agile Across Borders," Springer Books, Springer, number 978-1-4842-6948-0, January.
    4. Nataliia Dotsenko & Dmytro Chumachenko & Igor Chumachenko & Andrii Galkin & Tomasz Lis & Marek Lis, 2021. "Conceptual Framework of Sustainable Management of the Process of Forming a Project Team with Functional Redundancy," Energies, MDPI, vol. 14(24), pages 1-22, December.
    5. Wang, Nannan & Yao, Shengnan & Wu, Guobin & Chen, Xiaoyan, 2017. "The role of project management in organisational sustainable growth of technology-based firms," Technology in Society, Elsevier, vol. 51(C), pages 124-132.
    6. Brayan V. Seixas & François Dionne & Craig Mitton, 2021. "Practices of decision making in priority setting and resource allocation: a scoping review and narrative synthesis of existing frameworks," Health Economics Review, Springer, vol. 11(1), pages 1-11, December.
    7. Pellerin, Robert & Perrier, Nathalie & Berthaut, François, 2020. "A survey of hybrid metaheuristics for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 280(2), pages 395-416.
    8. Stefano Armenia & Rosa Maria Dangelico & Fabio Nonino & Alessandro Pompei, 2019. "Sustainable Project Management: A Conceptualization-Oriented Review and a Framework Proposal for Future Studies," Sustainability, MDPI, vol. 11(9), pages 1-16, May.
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