Enter Schedule Details
Tip: use the same period for all crew logs.
Example Data Table
| Period | Tasks (S/C) | Hours (Sched/Prod) | Setup | Downtime | Rework | Overrun | Priority% | Quality% | Score% |
|---|---|---|---|---|---|---|---|---|---|
| Week 5 | 42 / 38 | 60 / 47 | 6 | 4 | 2 | 3 | 78 | 88 | 74.6 |
| Week 6 | 35 / 33 | 48 / 44 | 3 | 1 | 1 | 1 | 90 | 92 | 86.3 |
| Week 7 | 50 / 40 | 72 / 46 | 10 | 9 | 5 | 8 | 60 | 75 | 52.2 |
Formula Used
- Task completion rate = (Completed tasks ÷ Scheduled tasks) × 100
- Time utilization = (Productive hours ÷ Scheduled labor hours) × 100
- Net productive ratio = (Productive hours ÷ (Productive + Setup/Travel + Downtime + Rework)) × 100
- Schedule adherence = (1 − (Overrun hours ÷ Scheduled labor hours)) × 100 (clamped 0–100)
- Efficiency score = 35% Utilization + 25% Completion + 20% Adherence + 10% Priority + 10% Quality (clamped 0–100)
How to Use This Calculator
- Pick a clear period (day, week, or project block).
- Count scheduled and completed garden tasks for that period.
- Log scheduled labor hours and actual productive hours.
- Add setup/travel, weather waiting, and rework hours.
- Enter overrun hours if you exceeded the planned time.
- Estimate priority adherence and quality pass rates.
- Press Calculate to view score and improvement hints.
- Use CSV or PDF buttons to save the latest result.
Interpretation Notes
- Too many zones per day increases setup and travel.
- Weather buffers missing causes overruns.
- Rework rises when checks are skipped.
- Priority work delayed triggers knock-on losses.
- Batch tasks by bed, block, or route.
- Schedule delicate tasks early in cool hours.
- Add a small buffer to high-variance tasks.
- Use simple checklists to cut rework.
Operational Article
1) What scheduling efficiency means in garden work
Scheduling efficiency measures how well planned labor hours convert into completed, quality tasks. In garden operations, time is lost to travel between beds, tool setup, weather pauses, and rework. This calculator combines completion, utilization, adherence, priority, and quality into one score.
2) Data inputs that change the score the most
Utilization improves when productive hours rise without adding scheduled hours. Completion improves when planned task counts match realistic capacity. Adherence drops when overruns exceed the plan. Priority and quality protect outcomes, because late critical tasks and rework compound delays.
3) Benchmarks you can use for weekly planning
Many small crews aim for 70–85% overall score in stable weather. If lost hours exceed 25% of scheduled hours, batching by zone usually yields the fastest improvement. A schedule adherence below 70% often indicates underestimated task durations or missing buffers.
4) Example dataset and what it suggests
Example week: Scheduled tasks 42, completed 38, scheduled hours 60, productive hours 47, setup 6, downtime 4, rework 2, overrun 3, priority 78%, quality 88%. The main opportunity is reducing setup and downtime through route grouping and earlier start times.
| Metric | Value | Planning note |
|---|---|---|
| Lost hours (setup+downtime+rework) | 12 h | Batch tasks by zone to cut movement. |
| Utilization (productive / scheduled) | 78.3% | Protect productive blocks from interruptions. |
| Schedule adherence | 95.0% | Overrun is small; estimates are close. |
5) Practical improvements driven by the results
Use the score as a weekly feedback loop: tighten routes, standardize tool kits, and stage materials near work zones. Add buffers for high-variance tasks like irrigation repairs and pest responses. Track priority adherence for harvest and disease control, and maintain a checklist to lift quality pass rates.
FAQs
1) What is a good efficiency score?
A score above 85% usually indicates strong planning and control. Scores between 70–85% are common for busy weeks.
Below 55% typically means high downtime, rework, or unrealistic task estimates.
2) Why can time utilization exceed 100%?
Utilization can rise above 100% if you deliver more productive hours than scheduled, often due to overtime or
under-budgeted plans. The final score is clamped to keep comparisons consistent.
3) How do I reduce setup and travel hours?
Group tasks by bed, block, or route. Pre-stage tools and consumables, and assign one person to preparation.
Fewer site switches per day usually reduces setup losses immediately.
4) What counts as downtime in gardening?
Downtime includes weather holds, waiting for water pressure, missing materials, equipment breakdowns, and
delayed access to a bed or area. Log it consistently so the trend becomes visible.
5) How should I estimate priority adherence?
Track how many critical tasks were completed within the planned window. Examples include harvest, pest response,
and irrigation checks. Use a simple yes/no list, then convert it to a percentage.
6) How does quality pass rate affect scheduling?
Low quality increases rework, which consumes productive time and causes overruns. Raising pass rate through
checklists and brief training often improves both efficiency and plant outcomes.
7) Can I use this for one garden bed only?
Yes. Set site count to 1 and enter your bed-level task counts and hours. The score still reflects how well you
planned and executed work for that single area.