Reporting
One-tap shift reporting: ditching end-of-shift paper logs
The friction of end-of-shift paper tallying
At the end of a gruelling 12-hour pit shift, supervisors and time-study observers face a tedious chore: gathering clipboards covered in mud, rain, and scribbled numbers, driving back to the main office, and manually keying numbers into bloated spreadsheets.
This legacy workflow introduces significant operational friction: - **Transcription Errors:** Illegible handwriting and missed decimal points corrupt tonnage and delay reconciliations. - **Reporting Lag:** Production engineers only discover haulage bottlenecks 8 to 16 hours after the shift ends. - **Lost Context:** Crucial delay observations noted on scraps of paper never make it into the enterprise database.
Automated shift summary architecture
A modern field-ready time study platform automatically aggregates every recorded cycle and delay as soon as the observer signals shift completion:
Shift metrics—including average spot time, queue time, shovel hang time, fleet match factor, and CAT 10/10/20 payload distributions—are computed instantly on the local device without needing cloud or server processing.
Instant export formats: PDF, CSV, and XLSX
Rather than waiting for morning meetings, supervisors can generate production-grade deliverables right from the cab: - **Clean PDF Summary:** Formatted for executive review with color-coded KPI badges, phase breakdowns, and Pareto delay charts. - **Raw CSV & Excel (.xlsx):** Detailed pass-by-pass and trip-by-trip tables formatted for immediate ingestion into mine planning and dispatch systems. - **Mobile Distribution:** One-tap export via WhatsApp, local Bluetooth, or email dispatch as soon as the vehicle reaches pit-rim Wi-Fi.
Best practices for daily dispatch handovers
To maximize the value of automated shift reporting: - Establish a standard 5-minute shift-change review where cross-shift supervisors inspect the Pareto delay summary together. - Use measured confidence intervals to confirm whether observed cycle averages represent true machine performance or statistical noise. - Archive raw observation exports into a centralized SQL repository for historical trend analysis.
Measure your fleet in the pit. CycleStudy Pro records cycles offline, detects delay bottlenecks, and exports instant reports. Get the Android app, review supported platforms, or test your numbers with our free fleet match calculator.