The verdict in three sentences
Rescheduling 15 machines every morning on a whiteboard costs a precision machining SME far more than software: late customer orders, swelling work in progress and a plant manager trapped in firefighting. A scheduling engine connected to the ERP costs between 50,000 and 110,000 CAD in Toronto in 2026 and takes 3 to 5 months to deploy, versus 2,000 to 5,000 CAD per month for an off-the-shelf APS. The realistic target is to lift the service level from 82% to 95% and cut work in progress by about 20%, provided routings and cycle times are reliable.
Whiteboard, off-the-shelf APS or custom engine: what you are really buying
In a 70-employee machine shop in the Greater Toronto Area, typically an aerospace or automotive subcontractor, orders arrive through the ERP but scheduling happens elsewhere: Excel, a magnetic board, the shop supervisor's memory. Every rush order breaks the plan and nobody measures the knock-on effect on other deliveries. You have three options.
| Criterion (2026 order of magnitude) | Whiteboard + Excel | Off-the-shelf APS (SaaS) | Custom engine connected to the ERP |
|---|---|---|---|
| Upfront cost | 0 CAD | 10,000 to 30,000 CAD of configuration | 50,000 to 110,000 CAD |
| Recurring cost | Plant manager's time | 2,000 to 5,000 CAD per month | 600 to 1,500 CAD per month (hosting, maintenance) |
| Time to deploy | Immediate | 2 to 4 months | 3 to 5 months |
| Handling of shop-specific constraints | In someone's head, untracked | Standard (capacity, calendars) | Specific (tooling, qualified operators, outsourcing) |
| ERP integration | Manual re-entry | Standard connector, sometimes partial | Native two-way integration |
| 5-year cumulative cost | Invisible but high | 130,000 to 330,000 CAD | 86,000 to 200,000 CAD |
An off-the-shelf APS works if your process looks like what the vendor planned for. As soon as you have atypical constraints (fixtures shared between machines, operators certified on specific parts, outsourced surface treatments with variable lead times), custom becomes more cost-effective over 5 years and keeps you in control of the logic.
What the engine automates, step by step
The principle is simple: each order confirmed in the ERP triggers a load calculation on the relevant resources, then a schedule that respects the shop's real constraints. The plant manager validates or adjusts instead of rebuilding everything.
| Automated step | Before (manual) | After (connected engine) | Estimated gain |
|---|---|---|---|
| Import of orders and routings | 45 min of re-entry per day | Sync every 15 min | 3.5 h per week |
| Load calculation per machine | Eyeballed | Load in hours on 15 machines, rolling 8 weeks | Visibility on bottlenecks |
| Scheduling | 1.5 h per day at the board | Automatic proposal in under 2 min | 6 h per week |
| Inserting a rush order | Full reschedule | Simulation of the impact on other deliveries | Decision in 10 min |
| Delivery date promised to the customer | Gut feeling, often optimistic | Date calculated on real capacity | Service level from 82% to 95% |
| Work in progress tracking | Monthly count | WIP valued in real time | WIP down about 20% |
The prerequisite is data quality. If the cycle times in your ERP date back to 2019 or the routings no longer reflect the current machines, plan 3 to 6 weeks of data cleanup before development. It is the line item SMEs most often underestimate.
Detailed budget and typical timeline
| Work package | Content | Estimated budget (CAD) | Duration |
|---|---|---|---|
| Scoping and data audit | Workshops, routing review, constraint mapping | 6,000 to 12,000 | 2 to 3 weeks |
| Two-way ERP connector | Reads orders, routings, stock, writes back scheduled dates | 12,000 to 24,000 | 3 to 5 weeks |
| Scheduling engine | Constraint-based algorithm, priority rules, simulation | 20,000 to 50,000 | 6 to 10 weeks |
| Scheduling interface | Interactive Gantt chart, drag and drop, per-machine views | 8,000 to 18,000 | 3 to 4 weeks |
| Testing, training, go-live | Parallel run with the whiteboard, team lead training | 4,000 to 6,000 | 2 to 3 weeks |
| Total | 50,000 to 110,000 | 3 to 5 months |
Insist on a parallel start: for 2 to 3 weeks, the whiteboard and the engine run side by side. This lets you compare the plans and correct the rules before switching over.
Mini case study
Mark, plant manager of a 70-employee precision machining SME in Mississauga, spends about 9 hours a week rescheduling his 15 machines. His service level is 82% and his average work in progress is worth 1,200,000 CAD. Illustrative scenario: a custom engine at 85,000 CAD, plus 1,000 CAD per month of maintenance.
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- Time freed: 7 hours a week over 46 weeks, or 322 hours a year, valued at 110 CAD loaded, about 35,400 CAD.
- WIP down 20%: 240,000 CAD of cash released, about 14,400 CAD a year of financing cost avoided at 6%.
- Late penalties avoided by reaching a 95% service level: estimated at 30,000 CAD a year.
Estimated annual gain: about 80,000 CAD, for a first-year cost of 97,000 CAD. Payback lands around 14 to 15 months, not counting the commercial value of reliable delivery dates.
FAQ
Do we need to replace our ERP to automate scheduling?
No, in the vast majority of cases. A connector reads orders and routings from the existing ERP and writes the scheduled dates back, which accounts for 12,000 to 24,000 CAD of the total budget.
How long before the service level improves?
First effects usually show 6 to 8 weeks after go-live, once the rules are tuned. The move from 82% to 95% is typically measured over a full quarter.
Isn't an off-the-shelf APS less risky?
It is faster to deploy (2 to 4 months) but costs 2,000 to 5,000 CAD per month indefinitely. It remains relevant if your constraints are standard and you accept adapting your processes to the tool.
What happens when a machine breaks down?
The engine recalculates the plan in under 2 minutes by removing the unavailable resource and flags the affected orders. The plant manager then arbitrates priorities instead of rescheduling everything.
Who owns the code and the scheduling logic?
On a custom build, require assignment of rights to the code with each milestone payment. Your scheduling rules are industrial know-how and should belong to you.
Let's scope your project. Send us your number of machines, your ERP and your main shop-floor constraints: we will price the scope, an indicative budget and a deployment timeline. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
