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A financial assessment of predictive maintenance – cash flow perspective [predictive maintenance – proof of concept]

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorRocha, Gonçalo
dc.contributor.authorRudlof, Julia Katharina
dc.date.accessioned2025-09-01T13:42:42Z
dc.date.embargo2028-06-02
dc.date.issued2025-06-16
dc.date.submitted2025-06-02
dc.description.abstractThis thesis evaluates the financial impact of predictive maintenance from a cash flow perspec tive. By comparing predictive maintenance with reactive maintenance, it examines cost savings, downtime reduction, and investment requirements over a 10-year horizon. An Excel-based fi nancial model, supported by industry data, is used to assess key metrics such as net present value, return on investment, and payback period. Scenario and sensitivity analyses provide in sights into risk and variability. Results indicate that predictive maintenance can enhance cash flow stability and long-term profitability, supporting its adoption as a financially sound strategy in manufacturing and other asset-intensive industries.pt_PT
dc.identifier.tid203991702pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/187293
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.subjectPredictive maintenancept_PT
dc.subjectCash flow analysispt_PT
dc.subjectFinancial assessmentpt_PT
dc.subjectCost-benefit-analysispt_PT
dc.subjectCEMS MIM
dc.titleA financial assessment of predictive maintenance – cash flow perspective [predictive maintenance – proof of concept]pt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsembargoedAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameA Work Project presented as part of the requirements for the Award of a Master’s Degree in International Master’s in Finance from the Nova School of Business and Economicspt_PT

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