What on-time delivery measures
On-time delivery (OTD) is the share of orders, or order lines, shipped on or before the date you promised. It sounds simple, but three choices change the number:
- Which date counts. The customer's requested date and your promised date are often different. Be clear which one you report.
- Lines or orders. An order with ten lines and one late line is late for the customer.
- Re-promised dates. If a date is moved after it's already at risk and the new date is counted as the target, OTD looks better than the customer's experience.
Measure it the same way every week, and track the trend. See also due-date performance.
Why on-time delivery stalls in high-mix shops
- Dates are set against infinite capacity. Most ERP and MRP scheduling assumes every work center can take whatever is loaded. Ten jobs promised through the same machine in the same week look fine on paper.
- The plan goes stale. A machine goes down, material is late, a hot job lands. A plan built once a week or once a morning is wrong by lunch, and the floor stops trusting it.
- People aren't in the model. The machine is free, but nobody qualified to run it is on shift.
- Local priorities win. Each area keeps its own machines busy or chases the loudest hot job, and the bottleneck starves.
- Nobody sees the bottleneck until orders are late. Reports that lag by days show the problem after customers do.
Five scheduling changes that improve on-time delivery
- Schedule to finite capacity. Place each operation only where the machine is available and, if people are your constraint, where a qualified person is on shift (Skody's Plant & Enterprise plan). See finite capacity scheduling.
- Promise dates from the schedule, not a lead-time table. Before committing to a date, run a capable to promise (CTP) check: add the new order as a what-if, even before it's in the ERP, and see what it does to everything else.
- Recompute when the floor changes, not once a week. A plan that follows the floor stays believable, and a believable plan is one people follow.
- Protect the bottleneck. Find the constrained work center, keep it fed, and group setups there with setup families so capacity isn't lost to changeovers.
- Make late jobs visible early. A late-job view and a capacity forecast, on the same plan the floor sees, turn "we missed it" into "we'll miss it unless we add a shift on Thursday."
Where Skody fits
Skody does those five things on top of your ERP. It connects to ProShop, Fulcrum and JobBOSS² (Acumatica and SYSPRO integrations are also listed on skody.ai), schedules finite machine capacity (operator skills and workforce scheduling are available on the Plant & Enterprise plan), recomputes the whole shop when conditions change, and puts the result on dashboards: Gantt, bottleneck map, late-job visibility and capacity forecast.
Published customers:
- Three Sigma Manufacturing in Kent, Washington extended its planning horizon from one week to one year, and the planner accepts the computed baseline about 99% of days.
- Yeager Manufacturing in Winter Park, Florida uses what-if scenarios on live ERP data to test changes before they become late jobs.
- Zimmer Manufacturing in Leander, Texas runs Skody dashboards on shop-floor monitors and keeps ProShop as its ERP.
When scheduling software won't fix on-time delivery
Be honest about the cause before you buy anything, including Skody.
- The shop is booked beyond its capacity. A finite schedule will show the overload clearly, but it can't create hours. The fix is capacity, outsourcing or different promises.
- Late material is the main cause. If most late orders wait on suppliers, purchasing and supplier management matter more than sequencing.
- Quality and scrap. Remakes consume the capacity the schedule counted on.
- Routing data is badly wrong. If run and setup times in the ERP are far from reality, fix the data first; any scheduler depends on it.
- Your ERP's scheduling is already enough. JobBOSS², for example, includes a Scheduling Advisor that flags jobs that are behind. If your plan holds through the day, use what you have.
- You want a one-time license. User Solutions sells EDGEBIC, an installed finite-capacity scheduler, at $25,000 or $35,000 as a one-time license.
Pricing
- Shop plan: starts at $1,500 per month, month-to-month. Includes machine capacity scheduling, finite-capacity scheduling, automatic conflict resolution, due-date-first optimization, ERP integration, delivery-risk and late-job visibility, planner overrides and what-if scenarios, and production dashboards.
- Plant & Enterprise plan: custom pricing based on scope. Adds workforce capacity scheduling, skills and personnel availability constraints, machine and workforce optimization, pallet pool and multi-part scheduling, lights-out production planning, MES and machine telemetry integration, multi-department and multi-site deployment, and advanced integrations.
- Pricing is per shop, not per user. There is no free trial; Shop plans are month-to-month instead.
- Every deployment is hosted in ITAR-ready Gov Cloud. SOC 2 Type II.
See pricing.
Frequently asked questions
How do you improve on-time delivery in manufacturing?
Start with the schedule. Promise dates from a finite schedule built on real machine capacity (and people, where they are the constraint), recompute it when the floor changes, protect the bottleneck and make late jobs visible early. Then check whether material, quality or overload is the real cause, because a schedule can't fix those on its own.
What causes poor on-time delivery?
In high-mix shops the usual causes are dates set against infinite capacity, plans that go stale during the shift, people missing from the capacity model, local priorities that starve the bottleneck, and late material. Most shops have more than one of these at once.
How does scheduling software improve on-time delivery?
It replaces dates that assume unlimited capacity with dates from a finite plan, and it keeps that plan current as conditions change. Skody AI does this on top of ProShop, Fulcrum or JobBOSS², recomputes the whole shop when something changes, and shows which jobs are going late while there's still time to act.
How do you calculate on-time delivery?
Divide the orders (or order lines) shipped on or before the promised date by all orders (or lines) shipped in the period. Decide up front whether you measure against the requested or the promised date, and don't let re-promised dates replace the original target.
What is a good on-time delivery rate?
There's no single number that fits every shop. Many customers set a target in their contracts or supplier scorecards. Measure consistently, track the trend week to week, and look at which orders were late and why.
Does Skody have an on-time delivery dashboard?
Skody's dashboards include late-job visibility, a bottleneck map, a Gantt view and a capacity forecast, all from the same plan the floor follows. See dashboards.
How quickly will on-time delivery improve?
Skody doesn't publish a typical improvement figure, because it depends on what is causing late orders in your shop. Shop plans are month-to-month, so you can judge it on your own data.
Do I need to replace my ERP to improve on-time delivery?
No. Skody connects to ProShop, Fulcrum and JobBOSS², and Acumatica and SYSPRO integrations are also listed on skody.ai. It connects to any other ERP, typically in about 3 weeks after you sign. The ERP stays the system of record; Skody replaces the schedule, not the ERP.
How much does Skody cost?
Skody starts at $1,500 per month on the Shop plan (month-to-month), which covers machine capacity scheduling, what-if scenarios and dashboards. The Plant & Enterprise plan, with custom pricing based on scope, adds workforce and skills scheduling, pallets, lights-out planning and multi-site. Pricing is per shop, not per user.
Sources and verification
Checked October 10, 2026. Statements about other vendors come only from their own public pages listed here; statements about Skody come from skody.ai. Vendor capabilities and prices change, so confirm anything critical directly with each vendor.
- Skody pricing: https://skody.ai/pricing: Shop plan starting at $1,500/month (machine capacity and finite-capacity scheduling, conflict resolution, due-date-first optimization, ERP integration, late-job visibility, what-if scenarios, dashboards); Plant & Enterprise plan at custom pricing based on scope (adds workforce and skills scheduling, pallets, lights-out, MES and telemetry, multi-site); month-to-month Shop plans, no free trial, per-shop pricing; every deployment hosted in ITAR-ready Gov Cloud.
- Skody integrations: https://skody.ai/ (integrations list): ProShop, Fulcrum, JobBOSS², Acumatica and SYSPRO.
- Skody case studies: Yeager Manufacturing, Three Sigma Manufacturing, Zimmer Manufacturing.
- Skody dashboards: https://skody.ai/dashboards.
- JobBOSS² scheduling (ECI Software Solutions): https://www.ecisolutions.com/products/jobboss2/features/scheduling/: Scheduling Advisor flags jobs that are behind; finite or infinite scheduling by work center.
- EDGEBIC pricing (User Solutions): https://usersolutions.com/pricing: $25,000 APS and $35,000 Complete, one-time perpetual licenses.
- User Solutions on-time delivery page: https://usersolutions.com/on-time-delivery-manufacturing: reviewed to understand how the topic is covered; no claims on this page depend on it.
Editorial methodology
- Skody AI publishes this page and sells the product it recommends for the cases described. We say so plainly rather than presenting it as third-party research.
- Details about other vendors come only from their own public pages listed in Sources, checked October 10, 2026. Where a vendor doesn't publish something, the page says "not published" instead of guessing. "Not published" is not the same as "not available."
- No vendor reviewed this page or paid for inclusion. There are no scores, ratings or reviews on this page.
- Product capabilities and prices change. Verify every critical requirement with each vendor, on your own data, before you buy.