ForestTime: a mobile platform for IUFRO-standardized time studies in mechanized forest operations

Time studies remain essential for evaluating the productivity and operational efficiency of forest machinery. However, few mobile tools integrate field data collection, the internationally recognized IUFRO work-study nomenclature, cycle-level production records, and statistical analysis. This technical note presents ForestTime, an openly available Android application designed for continuous time studies of mechanized forest operations. ForestTime provides seven predefined machine profiles and a Custom profile for operations not represented in the predefined list. The application records events with millisecond-resolution timing, classifies productive, supportive, delay, and non-work time, registers production variables by cycle, estimates the required sample size in real time, and calculates Mechanical Availability and Machine Utilization. It exports a structured data package with an R analysis script for reproducible workflow. Metric and Imperial/US unit systems are supported, while exported Imperial/US measurements are additionally normalized to metric units. A demonstration study using a Tigercat LS855C feller-buncher comprised 7,353 valid event records, 6,426 productive cycles, and 91.3 h of workplace time. Mean felling-cycle time was 16.1 s, with a coefficient of variation of 49.1%. Mechanical Availability and Machine Utilization were 85.7% and 45.8%, respectively. ForestTime provides an integrated and reproducible workflow for field recording, data recovery, standardized time classification, and export of forest-machine time-study data.

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Publication Details

Journal
International Journal of Forest Engineering
Published
2026-11-02
DOI
https://doi.org/10.1080/14942119.2026.2752793
Primary Topic
Forest Biomass Utilization and Management
Type
article
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article

ForestTime: a mobile platform for IUFRO-standardized time studies in mechanized forest operations

Yolanda Ambrosio, Eduardo A. Acuña, Cristobal Acuña, Jorge Cancino
International Journal of Forest Engineering
Forest Biomass Utilization and Management
article

ForestTime: a mobile platform for IUFRO-standardized time studies in mechanized forest operations

Yolanda Ambrosio, Eduardo A. Acuña, Cristobal Acuña, Jorge Cancino
article en

Abstract

Time studies remain essential for evaluating the productivity and operational efficiency of forest machinery. However, few mobile tools integrate field data collection, the internationally recognized IUFRO work-study nomenclature, cycle-level production records, and statistical analysis. This technical note presents ForestTime, an openly available Android application designed for continuous time studies of mechanized forest operations. ForestTime provides seven predefined machine profiles and a Custom profile for operations not represented in the predefined list. The application records events with millisecond-resolution timing, classifies productive, supportive, delay, and non-work time, registers production variables by cycle, estimates the required sample size in real time, and calculates Mechanical Availability and Machine Utilization. It exports a structured data package with an R analysis script for reproducible workflow. Metric and Imperial/US unit systems are supported, while exported Imperial/US measurements are additionally normalized to metric units. A demonstration study using a Tigercat LS855C feller-buncher comprised 7,353 valid event records, 6,426 productive cycles, and 91.3 h of workplace time. Mean felling-cycle time was 16.1 s, with a coefficient of variation of 49.1%. Mechanical Availability and Machine Utilization were 85.7% and 45.8%, respectively. ForestTime provides an integrated and reproducible workflow for field recording, data recovery, standardized time classification, and export of forest-machine time-study data.

International Journal of Forest Engineering
University of Concepción (CL), Universidad Politécnica de Madrid (ES)
Life on land
Openalex Percentile: Top 25%
Forest Biomass Utilization and Management
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