Capital Governance in Industrial Infrastructure Projects: Predictive Cost Modeling and Risk Management in Megaprojects

Capital Governance in Industrial Infrastructure Projects: Predictive Cost Modeling and Risk Management in Megaprojects

Authors

  • Luís Gustavo Mendes Perecin Escola de Engenharia de Piracicaba Author

DOI:

https://doi.org/10.51473/rcmos.v1i1.2026.2162

Keywords:

Project Governance. Cost Engineering. CAPEX. Risk Management. Industrial Infrastructure.

Abstract

This article analyzes financial governance strategies applied to high-complexity, capital-intensive industrial infrastructure projects. It investigates the integration between technical engineering planning and rigorous Capital Expenditure (CAPEX) control, focusing on the mitigation of budget overruns and schedule delays. The study proposes methodologies based on Critical Path Method (CPM) and Earned Value Management (EVM) to strengthen economic predictability and institutional transparency in multinational investments within the automotive, energy, and logistics sectors. 

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Author Biography

  • Luís Gustavo Mendes Perecin, Escola de Engenharia de Piracicaba

    Bacharel em Engenharia Civil pela Escola de Engenharia de Piracicaba. 

References

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Published

2026-01-16

How to Cite

PERECIN, Luís Gustavo Mendes. Capital Governance in Industrial Infrastructure Projects: Predictive Cost Modeling and Risk Management in Megaprojects: Capital Governance in Industrial Infrastructure Projects: Predictive Cost Modeling and Risk Management in Megaprojects. Multidisciplinary Scientific Journal The Knowledge, Brasil, v. 1, n. 1, 2026. DOI: 10.51473/rcmos.v1i1.2026.2162. Disponível em: https://submissoesrevistarcmos.com.br/rcmos/article/view/2162. Acesso em: 19 mar. 2026.