When the Schedule Was A Lie.
The client fabricated custom structural and precision metal components for industrial clients, primarily on make-to-order basis. Each job required multiple work center operations in sequence — cut, bend, weld, machine, finish. Their production planning was a master Excel file showing every open work order by work center, maintained manually by their single production planner.
The spreadsheet didn't account for real work center capacity. It didn't know when a machine was down for maintenance. It didn't update when a job took longer than its standard time estimate — which happened constantly, because the standard times themselves were a decade out of date. Every Monday, the planner started her week rebuilding a schedule that was already wrong.
- Conducted a full work center capacity audit — collecting actual cycle times, setup times, and capacity data for all 14 machines across 4 work centers over a 4-week observation period
- Replaced decade-old standard times with empirically measured cycle times per operation, reducing estimated-vs-actual job time variance from 38% to 9%
- Implemented Odoo Manufacturing with capacity-constrained scheduling — the MRP engine respects real work center capacity, queuing jobs automatically and flagging overloads before they become late deliveries
- Built routing sequences for all 47 active product families, ensuring every new order is automatically sequenced through the correct work centers in the correct order with realistic time estimates
- Configured a quoted lead time calculator: sales team sees real-time capacity availability before quoting — if the 6-week slot is full, they quote 8 weeks instead of lying to win and losing on delivery
- Established a daily production dashboard visible to the floor supervisor, planner, and GM — actual job progress vs. schedule, flagging jobs at risk of missing committed dates with 48+ hours' notice
- On-time delivery improved from 52% to 89% within 90 days of go-live — without adding capacity or headcount
- Actual average lead time compressed from 11 weeks to 6.2 weeks as the scheduling engine eliminated the queuing waste that had been invisible in the Excel model
- The planner's schedule maintenance time dropped from approximately 18 hours/week to under 8 — the ERP handles sequencing and conflict detection; she handles exceptions
- Sales was able to quote shorter, accurate lead times with confidence — the company won an estimated $1.4M in new business in the first year from customers who had previously chosen competitors on lead time
- Two major accounts that had reduced their order volumes citing delivery performance were re-engaged; both returned to full volume by month 9
- Rush order premiums charged to customers for expedited jobs fell by 61% — because actual lead times and scheduled capacity were now visible before the order was placed
We were quoting 6 weeks because that's what we needed to say to win the job. We knew we couldn't do it. The ERP didn't make us faster — it made us honest about what we could actually do, and then we did it.— Owner · Custom Metal Fabrication · Mid-Atlantic, U.S.
The Honest Lead Time Advantage
Most job shops think they lose on delivery performance because they're too small or too resource-constrained to compete with larger operations. Often, the real problem is simpler: they're quoting lead times that don't reflect actual capacity, and then spending enormous energy trying to make the impossible happen. A scheduling ERP that shows real available capacity before a quote goes out does something more valuable than improve delivery performance — it lets a manufacturer compete on truth instead of optimism. That's almost always a competitive advantage.
