Rocha, GonçaloRudlof, Julia Katharina2025-09-012025-06-162025-06-02http://hdl.handle.net/10362/187293This 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.engPredictive maintenanceCash flow analysisFinancial assessmentCost-benefit-analysismaster thesis203991702