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CourseNaval, Offshore & Sports Nautical Enrolment open

Forestry Machinery Data Analysis Course

Online 300-hour course in forestry machinery data analysis. 6 modules covering StanForD 2010 (forestry machine data communication standard), ISO 11850 (self-propelled forestry machinery: safety requirements) and R. Dedicated tutor and open enrolment.

Duration300 h
ModeHybrid
LanguageEnglish / Spanish
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Virtual lab · try it before you enrol

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Learning outcomes

What you will be able to do

01

Identify the data generated by forestry machinery.

02

Prepare and validate production files according to StanForD.

03

Analyse productivity and costs of harvesting operations.

04

Assess bucking quality and the value of timber.

05

Relate maintenance and consumption data to operations.

06

Build traceability and sustainability evidence.

07

Present results through reproducible analyses.

Profile

Who it's for

  • Forestry data analyst wishing to specialise in Forestry Machinery Data Analysis.
  • Harvest planning technician wishing to specialise in Forestry Machinery Data Analysis.
  • Forestry engineer wishing to specialise in Forestry Machinery Data Analysis.
  • Chain of custody manager wishing to specialise in Forestry Machinery Data Analysis.
  • Forestry fleet manager wishing to specialise in Forestry Machinery Data Analysis.
  • Bucking optimisation technician wishing to specialise in Forestry Machinery Data Analysis.
  • Graduates in engineering or sciences seeking to enter forestry operations.
Standards & tools

What you'll work with

  • StanForD 2010 (forestry machine data communication standard)
  • ISO 11850 (self-propelled forestry machinery: safety requirements)
  • PEFC ST 2002 (chain of custody of forest products)
  • FSC-STD-40-004 (chain of custody certification)
  • Regulation (EU) 2023/1115 (deforestation-free products)
  • EN 1927-1 (qualitative classification of coniferous roundwood)
Syllabus

6 modules · 300 h

  1. 1.1Harvester production data
  2. 1.2Recording of stems, diameters and lengths
  3. 1.3Product and classification data
  4. 1.4Time and machine status data
  5. 1.5Forwarder and skidding data
  6. 1.6Fuel and consumption data
  7. 1.7Geolocation of the operation
  8. 1.8Standard industry exchange formats
  9. 1.9Data quality and common errors
  10. 1.10Workshop: data inventory of a forestry machine
  1. 2.1Downloading and archiving production files
  2. 2.2Checking measurement calibration
  3. 2.3Detection of anomalous stems and recording errors
  4. 2.4Reconciliation with mill weighing
  5. 2.5Units, cubing and conversions
  6. 2.6Linking felling and skidding data
  7. 2.7Assignment to stand, client and contract
  8. 2.8Anonymisation of operator data
  9. 2.9Storage and traceability
  10. 2.10Practical: validating a production file
  1. 3.1Volume by stand, by day and by operator
  2. 3.2Distribution of diameters and volume per stem
  3. 3.3Productivity per effective hour and per total hour
  4. 3.4Time breakdown: work, adjustments and stoppages
  5. 3.5Performance versus average stem volume
  6. 3.6Effect of slope and density
  7. 3.7Comparison between machines and between operators
  8. 3.8Detection of operational losses
  9. 3.9Visualising results for the crew leader
  10. 3.10Practical: productivity report for a harvest operation
  1. 4.1Bucking optimisation and its verification
  2. 4.2Compliance with client specifications
  3. 4.3Penalties for length and diameter
  4. 4.4Value obtained versus potential stand value
  5. 4.5Effect of calibration on value
  6. 4.6Product classification and assignment errors
  7. 4.7Feedback to the operator on quality
  8. 4.8Client complaints and their analysis
  9. 4.9Bucking quality indicators
  10. 4.10Practical: analysis of value lost in a stand
  1. 5.1Alarm and breakdown data
  2. 5.2Engine hours and effective working hours
  3. 5.3Consumption per cubic metre and per hour
  4. 5.4Relationship between working mode and consumption
  5. 5.5Monitoring wear of consumables
  6. 5.6Data-driven maintenance planning
  7. 5.7Detection of breakdown symptoms
  8. 5.8Cost per cubic metre and its monitoring
  9. 5.9Comparison between fleet machines
  10. 5.10Practical: machine dashboard
  1. 6.1Timber traceability from the forest
  2. 6.2Chain of custody and certification
  3. 6.3Data required by the buyer
  4. 6.4Environmental indicators of the harvest operation
  5. 6.5Sharing data with the forest owner
  6. 6.6Data ownership and agreements with the contractor
  7. 6.7Report automation
  8. 6.8Common errors in using this data
  9. 6.9Digitalisation roadmap for the harvest operation
  10. 6.10Final project: complete harvest operation report using data
Methodology, software & labs

How you'll learn

Fully 100 % online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. No fixed timetable: students progress at their own pace within the intake, making it possible to combine with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is R, Python (pandas), QGIS, Power BI, advanced Excel, in free, academic or evaluation versions. Case studies are based on real procedures for analysing harvester production files, validating bucking measurements, and conducting performance studies in the forest. Assessment is continuous per module plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented final project:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with a track record in training, , eVTOL/UAM and flight test.
Flexible delivery(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Timber traceability from the forest

Identify the data generated by forestry machinery.

Chain of custody and certification

Prepare and validate production files according to StanForD.

Data required by the buyer

Analyse productivity and costs of harvesting operations.

Environmental indicators of the harvest operation

Assess bucking quality and the value of timber.

Sharing data with the forest owner

Relate maintenance and consumption data to operations.

Career opportunities

Where this takes you

Forestry data analystHarvest operation planning technicianForestry engineerChain of custody managerForestry fleet managerBucking optimisation technician
Admissions & scholarships

Requirements

  • No prior qualification required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory reading.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme comprises 300 hours in total, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

You work with R, Python (pandas), QGIS, Power BI, advanced Excel. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

An own SEIUM diploma upon passing the continuous assessment and the integrating project. This is own training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Check the credit recognition policy when you enrol.

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