This thesis aims to investigate how publicly and commercially available external data sources can be used to estimate the installed population of industrial engines per market, and to validate and improve internally derived population estimates.
The focus is on identifying which external sources exist, assessing their reliability and coverage, and developing a transparent method for combining them with internal data, including a principled way to handle disagreement between sources.
Key Responsibilities:
- Identify and map the external data sources relevant to off-highway and industrial engine populations, spanning public, regulatory, commercial and industry-analyst sources.
- Assess each source on coverage, granularity, update frequency, cost and reliability.
- Design and implement a method for triangulating multiple sources into a population estimate per market, with explicit uncertainty.
- Validate the method against internal Volvo Penta data and analyse where and why sources disagree.
- Investigate what external data can contribute to estimating engine survival and service life.
- Recommend which sources Volvo Penta should acquire, subscribe to or monitor.