Capacity is not one number; it is labor skills, machine availability, setups, and changeovers bounded by shifts, breaks, and maintenance. Capture hours per resource, effective rates, and calendar exceptions. Treat setups separately, and note which tasks require paired operators or qualified certifications.
Lead time blends processing, waiting, and transport. Use Little’s Law—average WIP equals throughput times lead time—to expose the cost of cluttered queues. Reduce WIP to shorten delays, then raise reliability before speed. Validate with a week of timestamped cards moving through your actual work centers.
Start with a paper value stream map. List steps, responsible people, typical times, defects, rework loops, and handoffs. Mark the longest queue and the most variable step. That pair usually hides your constraint. Photograph everything, then transcribe into your no-code workspace for ongoing refinement.

Build a quoting sheet that pulls current WIP by work center, applies standard times, and adds wait estimates from historical percentiles. Show earliest start, projected finish, and confidence bands. Let sales explore price–speed trade-offs transparently before committing, so surprises vanish and trust compounds every week.

Reserve a small protected capacity slice for rush jobs and define clear expedite rules. Charge fairly, limit concurrency, and preempt only noncritical work. Simulate effects in a spreadsheet before policy changes. Your team’s sleep matters, and customers value transparent, consistent processes more than frantic heroics.

Provide live order visibility through a lightweight portal built with Glide or Softr. Customers can upload drawings, confirm specs, and receive milestone notifications via email or SMS. Fewer check-in emails means more making time, faster feedback loops, and clearer evidence when approvals delay promised ship dates.