MES & Shop FloorFree calculatorPDF, Excel, Word exportJob Shops & Contract Manufacturing

Quote Turnaround Time KPI and Queue Calculator

Buyers often award to the first credible quote they receive. Turnaround time is therefore a sales metric as well as an operations metric. This calculator shows how quickly delays grow as estimator utilization climbs, using standard queueing math.

Your numbers

RFQs
h

Average estimator time per quote, excluding waiting.

people
h

After meetings, shop-floor questions and admin.

days
%
$

Your results

Estimator utilization
80.4%
Above about 85 percent, queue time grows quickly.
Expected turnaround
1 days
Hands-on plus queue hours, converted using productive hours per day. Excludes customer clarification delays.
Quoting hours demanded per week
45 hrs
Quoting hours available per week
56 hrs
Average queue wait
5 hrs
M/M/1 approximation of pooled capacity: Wq = rho / (1 - rho) x average service time, with service time divided by headcount.
Quotes in process (Little's law)
4.8945
Average RFQs waiting or being worked: arrival rate per day multiplied by days in system.
Gap vs target turnaround
-1 days
Orders won per month
$308,880
Monthly won value implied by the volume and hit rate.

A queueing approximation that assumes random arrivals and similar quote effort. Real queues also depend on priority rules, interruptions and missing information.

Save results:

Turnaround days vs weekly RFQ volume

Sweeps RFQs received per week from 4 to 30, holding your other inputs fixed.

Cut hands-on quoting time with your ERP data

Optional: we can review where your quote process spends time and what could be automated.

Optional. The tool and every export work without this. No spam.

How to use it

Enter weekly RFQ volume, the hands-on hours a typical quote takes, headcount and realistic productive quoting hours per person. Productive hours are rarely above 30 per week once meetings and floor questions are removed. The calculator returns utilization, queue wait, turnaround in business days and the quote backlog implied by Little's law. Use the chart to see how the next 5 RFQs per week would change turnaround. Compare the result with the target to decide on hiring, templates or automation.

The math behind it

Demand hours = RFQs per week x hands-on hours. Capacity = estimators x productive hours. Utilization rho = demand / capacity. For a single-server queue, average wait is rho / (1 - rho) x service time. We approximate a pooled team by dividing the service time by headcount, which is slightly pessimistic versus exact multi-server formulas but sufficient for planning. Turnaround = (hands-on + queue wait) / productive hours per day. Little's law states average work in system = arrival rate x time in system.

  • Under 70 percent utilization: waits are small.
  • 70 to 85 percent: waits noticeable, still manageable.
  • Above 90 percent: small volume bumps cause multi-day delays.

Reading the result

With the defaults, demand is 45 hours against 56 hours of capacity, about 80 percent utilization, which is workable but sensitive to spikes. Raise volume to 24 RFQs per week and utilization passes 100 percent: the queue grows without bound and turnaround climbs steeply, which the chart flattens at the 98 percent cap. The practical fix is usually reducing hands-on hours through templates and quote libraries before hiring.

Common mistakes

Using paid hours instead of productive hours makes capacity look better than it is. Measuring turnaround from when you start rather than when the RFQ arrives hides queue time. Averages also hide long tails: track the 90th percentile turnaround in your ERP or CRM in addition to the mean.

Frequently Asked Questions

What is a good quote turnaround time?

For routine job shop work, many buyers expect an answer within one to three business days. Complex assemblies and outside-processed parts take longer. Track your own median and 90th percentile and compare against how quickly winning competitors respond.

Why does turnaround rise so sharply near full utilization?

Queue wait scales with rho divided by one minus rho. At 80 percent the factor is 4, at 90 percent it is 9, and at 95 percent it is 19. Random bursts of RFQs overwhelm the team when there is little slack.

Does this include time waiting on the customer?

No. It models internal queue and work time only. Missing drawings, unclear specs and slow replies add elapsed days outside the model, which is why package completeness checks help.

How do I reduce hands-on quoting hours?

Standardize routings by part family, keep material and outside-process price lists current, reuse past quotes via ERP search, and pre-screen incomplete RFQs. Even a 20 percent cut in hands-on hours has a large effect near high utilization.

If quote timestamps live in your ERP or CRM, we can help build a live turnaround dashboard by estimator and customer. This calculator stands alone for planning.

Keep exploring

Free tools

ERP fixes and how-tos

Guides

AI on your ERP

Software