Why do high-mix production schedules fall apart?

In a high-mix shop, dozens of jobs compete for the same machines, people, and materials every day. A schedule that only counts machine hours will happily promise work the floor can’t deliver: the machine is open, but nobody qualified is available to run it, the right pallet is tied up, the material hasn’t arrived, or the outside operation isn’t back yet.

Someone still has to catch those conflicts, and that someone is usually your planner, rebuilding the schedule by hand every time something changes. The more often your schedule changes, the more time disappears into repair work instead of planning.

Who is Skody AI designed for?

Skody is built for manufacturers whose schedules change frequently and whose planners still spend significant time building or fixing the real schedule in spreadsheets. Its strongest fit includes:

• CNC machine shops and precision manufacturers
• Sheet-metal fabrication and mixed-operation plants
• Aerospace, defense, and other complex discrete manufacturers
• Shops running CNC pallet automation systems or planning unattended, lights-out production
• Manufacturers that need a more executable schedule without replacing their ERP

When Skody is less likely to fit: simple, repetitive production with little constraint interaction; a company primarily shopping for a new ERP; a manufacturer looking for a broad MES or MOM replacement; or a shop whose current whiteboard or ERP schedule already holds up throughout the day.

What does Skody AI schedule?

• Finite machine capacity. Work is placed only where usable capacity exists.
• Qualified personnel. Shifts, availability, and operator skills are scheduled alongside machine demand.
• Setups and changeovers. Sequencing accounts for setup pressure instead of treating every hour as interchangeable.
• Materials and outside processing. Work isn’t scheduled as ready when required material or an outside operation is unavailable.
• Pallet pools and shared resources. Pallets, fixtures, and other constrained resources are part of the model.
• Lights-out production. Trusted work can be placed into unattended windows while respecting readiness constraints.
• Disruptions. When a machine goes down, an operator is absent, or a rush order arrives, Skody proposes an updated feasible plan for planner approval.

What makes Skody different? Pallets and people are part of the schedule

Most production schedules begin and end with machine capacity. Skody builds one finite plan across the machine, the physical pallet or fixture, and the qualified person needed to run the operation. That isn’t three separate calendars. It’s one constraint model that won’t call work executable unless every required resource is available at the same time.

Pallet-pool and multi-part scheduling

In an automated CNC cell or flexible manufacturing system, an open machine doesn’t guarantee that work can run. The correct pallet, fixture, setup, and parts also have to be ready. Skody treats each pallet as a finite, schedulable resource, including:

• Physical pallet identity and availability
• The fixture and parts mounted on each pallet
• Multi-part and tombstone loads
• Pallet queue position inside the cell
• Pallets being prepared away from the machine
• Setup clustering and unattended production windows

The result is a schedule that never promises machine hours your pallet pool can’t physically support, which helps keep automated cells cutting through nights and weekends. Explore Skody pallet scheduling.

Human scheduling with an operator skills matrix

An available machine isn’t usable capacity if no qualified person is available to run it. Skody brings individual human capacity into the same production calculation. Its worker skills matrix can model:

• Which people are qualified or certified for each machine or operation
• Shift calendars, availability, and absences
• Different skill levels and production assignments
• One operator tending multiple machines at once
• Labor requirements that change between setup and runtime
• What-if staffing and cross-training scenarios

When someone calls out or labor coverage changes, Skody recomputes the plan around the people who are actually there, instead of leaving the staffing conflict for a supervisor to discover on the floor.

What happens when a machine goes down, or a rush job arrives?

Skody recalculates a feasible plan using current constraints and proposes an updated sequence. The planner reviews and commits the change, so your production team stays in control. Skody does the math; your people make the call.

How does Skody AI work with your ERP?

Skody doesn’t replace your ERP. The ERP remains the source for jobs, routings, and business records, and Skody becomes the production decision layer that turns that data into an executable schedule.

Skody runs live with ProShop, Fulcrum, and JobBOSS² and also integrates with Acumatica and SYSPRO. Microsoft Dynamics 365 and QuickBooks connectors are available on request. Skody says it can connect to any ERP; a connection to an ERP it hasn’t connected before typically takes about three weeks after signing.

What results have manufacturers reported?

At Three Sigma Manufacturing, Skody schedules 47 machine work centers. The company reports:

• A 15% reduction in production delays
• Scheduling time reduced from days to seconds
• A planning horizon expanded from one week to one year
• A computed baseline accepted by the planner on approximately 99% of days

These are customer-reported results from one implementation, not a guarantee of identical results for every manufacturer. Read the Three Sigma case study.

Skody AI at a glance

How does On Time Edge help implement Skody AI?

Software alone doesn’t change how a plant schedules. On Time Edge provides the manufacturing process, systems integration, and adoption support needed to turn Skody into a working operating process, not just another installation. Since 2004, On Time Edge has helped manufacturers improve planning, scheduling, and execution.

1. Define the operating objective. Agree on the business problem, success measures, planning horizon, and the decisions the schedule must support.
2. Prepare the data. Validate jobs, routings, calendars, work centers, cycle times, and the ERP data Skody will use.
3. Model the real constraints. Map alternate machines, operator skills, shifts, setups, pallets, materials, and outside processing.
4. Test the schedule with planners. Compare the computed plan with shop knowledge, resolve exceptions, and establish planner-control rules.
5. Guide go-live and adoption. Train planners and production leaders, define the daily scheduling rhythm, and help the floor transition to the new plan.
6. Improve after launch. Review schedule performance, correct data and constraint assumptions, and expand the model as your needs evolve.

Who does what: Skody supplies the scheduling engine and product capabilities. On Time Edge helps you configure the operating model, integrate it with your current systems, and make the new scheduling process stick.

Frequently asked questions about Skody AI

What is Skody AI?

Skody AI is finite-capacity production scheduling software for high-mix CNC, fabrication, and discrete manufacturing. It builds an executable schedule around actual machine capacity, qualified labor, material readiness, setups, pallets, and outside processing.

Does Skody AI replace an ERP?

No. Your ERP remains the system of record. Skody uses ERP jobs, routings, and related production data to calculate and maintain the operating schedule.

Which ERP systems work with Skody AI?

Skody runs live with ProShop, Fulcrum, and JobBOSS² and integrates with Acumatica and SYSPRO. Microsoft Dynamics 365 and QuickBooks connectors are available on request, and new ERP connections typically take about three weeks after signing.

How quickly can a manufacturer implement Skody AI?

Skody is designed for a short path from ERP data to a usable production baseline. Total timing depends on data readiness, constraint modeling, integrations, and scope.

How much does Skody AI cost?

The Shop plan starts at $1,500 per month, month-to-month. Plant & Enterprise deployments are custom-priced based on machines or work centers, production complexity, workforce and skill constraints, integrations, sites, and onboarding. See current Skody pricing.

How does Skody AI schedule pallet pools?

Skody treats pallets as finite, schedulable resources, accounting for pallet identity, mounted fixtures, loaded parts, queue position, and pallets being prepared off-cell, then coordinates pallet availability with machines, setups, and lights-out windows.

How does the worker skills matrix affect the schedule?

Skody models each person’s qualifications, certifications, shift availability, and ability to tend one or more machines. An operation is scheduled as executable only when the required machine capacity and qualified human capacity are available together.

What does On Time Edge do during a Skody implementation?

On Time Edge helps define the scheduling model, prepare ERP and operating data, map real shop constraints, guide planner adoption, support go-live, and establish a continuous-improvement process.