¶ Dwell
| Company | Indufor |
| Website | https://induforgroup.com/services/resource-monitoring/ |
| Category | Planning & Inventory › Remote sensing & mapping |
resource monitoring, LiDAR analytics, inventory automation
¶ Overview
In forestry machine operations and productivity analysis, dwell refers to periods during a work cycle when a machine or its working attachment is stationary or non-productive — that is, time spent waiting, repositioning without processing material, or idling between active work elements such as felling, de-limbing, cross-cutting, or crane cycles. Dwell time is a key metric captured by automatic work-element detection (AWED) systems and machine telemetry platforms, as it represents recoverable lost productivity that skilled operators, improved workflows, or machine automation can reduce. In harvester operations, dwell commonly occurs between tree processing sequences when the operator is scanning for the next stem, repositioning the boom after a cut without simultaneously initiating the next action, or waiting for the forwarder to clear the strip road. In forwarder operations, dwell manifests as idle time at the log pile while the operator selects and grapples individual logs, or as waiting time at the roadside landing while a truck completes loading. Analysing dwell distribution across shifts, operators, and terrain types allows fleet managers and supervisors to identify whether excess non-productive time is attributable to operator technique, stand conditions (such as sparse stem distribution or heavy slash), machine configuration, or interface design issues. In the context of Australian plantation harvesting, where cut-to-length (CTL) systems are the dominant harvesting method and cycle efficiency has a direct impact on cost-per-tonne, reducing dwell through better operator coaching, optimised bunch sizes, and terrain-adaptive machine settings is a primary productivity lever. The concept is also increasingly relevant to the design of autonomous and semi-autonomous forestry machines, where minimising dwell is a core optimisation objective built into the machine's decision-making algorithms.
¶ Assessment
Provides high-resolution inventory, stand insights, and LiDAR analytics. Improves accuracy of stand data, reduces uncertainty in harvest planning, and lowers operational mistakes.
¶ Details
| Field | Value |
|---|---|
| Company | Indufor |
| Type | Company |