Working session · 1 day
Reliability for Planners and Supervisors
Planners and supervisors are asked "what should we fix first, and can we trust these numbers?" with only work orders and a spreadsheet to answer with. This one-day session teaches how to read the history those systems produce without being misled by it.
Vendor-neutral. The session does not require or sell software, and it needs no access to your systems.
Who it is for
Maintenance planners, schedulers and supervisors who answer for what gets fixed first.
You do not need an engineering degree. The session assumes you know your equipment and your CMMS; it teaches how to read the history they produce.
The problem it addresses: work orders are written to get a job done, not to be analyzed. Dates are wrong, failure codes are missing, and preventive maintenance changes the very failure pattern you are trying to measure.
What you leave with
- A method for ranking your worst-performing equipment from your own work orders, and a way to see when the data is too thin to rank anything.
- The ability to tell a real failure from a maintenance event, and why the difference changes every number downstream.
- A plain-language check for whether your preventive maintenance is helping or distorting your results.
- A work-order and failure-code standard your team can adopt, so next year’s data is better than this year’s.
- A decision-record template: what was recommended, on what evidence, who approved it and what happened.
- A one-page monthly review you can run without special software.
No savings are promised. Value depends on your data and what you do with it.
One-day agenda
Six modules over about seven hours, each ending in an exercise on real or sample work orders.
| Time | Module | Exercise |
|---|---|---|
| 8:30–9:30 | Why work orders lie: what the data can and cannot tell you | Audit 20 of your own work orders for missing dates, codes and causes |
| 9:45–11:15 | Failure or maintenance event? Building a clean failure list | Sort a mixed work-order list into failures, events and noise |
| 12:00–13:15 | Finding bad actors without special software | Rank assets by repeat failures and cost, and mark where the data is too thin |
| 13:30–14:45 | Does your PM help or distort? Reading intervals and failure patterns | Compare failures before and after a PM change |
| 15:00–15:45 | Writing work orders and failure codes that can be analyzed | Draft your site’s minimum standard |
| 15:45–16:30 | Deciding and documenting: the decision record and the monthly review | Fill in a decision record for one real problem |
How it works
- We ask for an export of 12–24 months of work orders (asset, dates, type, description, cost if you track it) and your PM schedule if available, so the exercises use your equipment and your habits.
- No system access and no software install. We work from the file. Remove names or sensitive fields before sending; we confirm exactly which columns we need.
- Your export is used only to prepare your session and is returned or deleted afterward, with terms confirmed in writing before you send anything.
- If you cannot share data, we use a realistic sample set and you apply the method to your own records afterward.
Format and price
Prices are in Canadian dollars. The first three clients receive founding-client pricing of 25% off, in exchange for before-and-after results and a short testimonial.
| Option | Group size | Length | Price (CAD) |
|---|---|---|---|
| In-house session at your site | 12–20 people | 1 day | $7,500 flat, plus travel at cost |
| Live virtual session | 12–20 people | 2 half-days | $5,500 flat |
| Open enrollment (per seat) | 8–20 people | 1 day | $695 per seat |
| Add-on: reliability diagnostic of your work orders | Your site | 6–8 weeks | Quoted separately |
Included: facilitator, take-home templates, and a short follow-up call 30 days later. Travel for in-house sessions is billed at cost.
Your facilitator
Orville Davis, M.Eng., MMP, has more than 25 years in mining, oil sands and heavy-equipment maintenance. He started as a heavy-duty equipment mechanic, worked as a maintenance supervisor and planner, and then moved into reliability engineering. At Suncor’s mining operations he led reliability engineering, then maintenance and reliability for the autonomous haulage fleet. He holds a Master’s degree in Maintenance and Reliability Engineering (Monash University), a postgraduate diploma in business, a Red Seal in heavy-duty equipment, an Alberta Blue Seal in business competencies, and the PEMAC Maintenance Management Professional designation. He founded SyncAI after seeing dashboards report confident numbers the data could not support.
Next step
A 20-minute call to confirm your group, your CMMS and your preferred dates.
Or email oadavis@syncai.ca.