Production Scheduling Software

Production scheduling software built around your actual constraints, not a generic solver

Kinaxis, Blue Yonder, and o9 Solutions built their scheduling engines around a generic constraint model, and for a lot of manufacturers that model fits fine. It stops fitting once your changeover rules, multi-plant capacity allocation, or bottleneck sequencing get specific enough that the templated solver can't represent them. Planners end up working around the tool with spreadsheets again, which defeats the point of buying it. We build the scheduling logic around your plant's actual rules instead of asking your plant to fit a vendor's model.

  • Custom constraint modeling for changeover rules, sequencing logic, and bottleneck resources your APS solver can't represent

  • Multi-plant capacity allocation that reflects how work actually moves between your sites

  • Real-time schedule updates driven by shop floor status, not an overnight batch run

  • Fixed-cost delivery, scoped up front, with source code ownership

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The problem

Sound familiar?

  • Planners still rebuilding the schedule in a spreadsheet because the APS tool can't represent your changeover rules?

  • Paying per-seat licensing for a scheduling engine that only half fits how your plants actually run?

Short answer

Production scheduling software, also called manufacturing scheduling software or advanced planning and scheduling (APS) software, sequences production orders against machine, labor, and material capacity so a plant can meet delivery dates without overloading a bottleneck resource. Manufacturers buy it to replace manual, spreadsheet-driven scheduling. RaftLabs builds custom scheduling software for manufacturers whose changeover rules, multi-plant capacity allocation, or bottleneck sequencing logic are specific enough that templated APS solvers like Kinaxis, Blue Yonder, or o9 Solutions can't represent them. A single-plant scheduling tool typically runs $30,000-$70,000 over 14-18 weeks; a full multi-plant platform runs $70,000-$130,000 over 18-22 weeks, at a fixed cost.

Key takeaways

  • Production scheduling software (also called APS software) sequences orders against machine, labor, and material capacity, and search interest in the category has declined sharply in the past year, even as the underlying planning problem hasn't gone away.
  • Kinaxis, Blue Yonder, and o9 Solutions run on generic constraint models built to fit the average manufacturer, which is exactly where they stop working for plants with unusual changeover rules or bottleneck logic.
  • Multi-plant capacity allocation needs to reflect how work actually moves between your sites, not a template built for a single generic facility.
  • A full multi-plant scheduling platform typically takes 18-22 weeks at a fixed, agreed cost.

Trusted by

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Production scheduling software delivery, by the numbers

products shipped
100+
cost delivery
Fixed
week delivery cycles
14-22

Templated APS solvers stop working once your constraints get specific

Kinaxis, Blue Yonder, and o9 Solutions built black-box optimizers for a generic constraint model, and that model covers most manufacturers well enough. It stops covering the plants whose changeover rules, multi-plant capacity allocation, or bottleneck sequencing don't map cleanly onto what the solver can represent. Those plants end up paying seat licenses for a tool their planners still have to work around.

Capabilities

What we build

  • 01
    Custom constraint modeling

    Sequence-dependent changeover rules, product-family grouping, and bottleneck-specific sequencing logic modeled directly, instead of approximated inside a generic solver.

  • 02
    Multi-plant capacity allocation

    Capacity and work allocated across sites the way your plants actually operate, not a template built around a single generic facility.

  • 03
    Real-time schedule updates

    Schedules driven by live shop floor status, so a machine going down or an order changing priority updates the plan instead of waiting on the next overnight batch run.

  • 04
    ERP and MES integration

    Order, inventory, and routing data pulled from your existing ERP or MES, so the scheduling layer works alongside what you already run rather than replacing it.

  • 05
    Planner override and what-if tools

    Manual override controls and scenario comparison so planners can test a change before committing it, instead of trusting a black-box recommendation outright.

  • 06
    Reporting and exception dashboards

    Dashboards that surface late orders, capacity conflicts, and bottleneck utilization as they happen, not buried in a report nobody opens until the week is already over.

How we work

From constraint mapping to live schedule

  1. Weeks 1-3
    01

    Discovery and constraint mapping

    We map your changeover rules, bottleneck resources, and multi-plant capacity logic with your planners. You leave with a written scope and a fixed-price quote.

  2. Weeks 3-8
    02

    Scheduling engine and integration design

    We design the constraint model and the integration layer to your ERP or MES, so the schedule runs on real order and capacity data from day one.

  3. Weeks 8-18
    03

    Build in two-week sprints

    You review a working schedule at each sprint. Constraint logic, capacity allocation, and dashboards are built and tested against real production data.

  4. Final 3-4 weeks
    04

    Pilot on live production and rollout

    The schedule runs alongside your current process so planners can validate it against real orders before it takes over.

Why us

Why manufacturers choose RaftLabs

  • 01
    Senior engineers build what they scope

    The engineers who map your constraint logic also build the scheduling engine. No offshore handoff after the contract is signed.

  • 02
    Fixed price before development starts

    We scope the work, calculate the cost, and lock it in writing before any development starts.

  • 03
    Founded 2015, 100+ products shipped

    A track record building software for manufacturers whose operations didn't fit a packaged system's assumptions.

  • 04
    You own the source code

    No per-seat licensing after delivery. The codebase, and everything built into it, is yours.

Have a production scheduling project?

Tell us where your current tool or spreadsheet stops fitting your constraints. We'll scope a fixed-cost build.

Talk about your scheduling project

Related services

What clients say

What clients say about working with us

Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

Amer Abu Khajil
Amer Abu Khajil
Canada flagCanada
Founder, Peak Studios & Perceptional

I found RaftLabs to be the perfect partner for Perceptional, with their expertise in helping startup founders build MVPs, a free consultation, a prototype that matched my vision, and their unwavering support.

01 / 06

Production Scheduling Software, scoped in one call.

Tell us what's broken. Within one business day you get a straight take on cost, timeline, and the right first step. No deck, no pressure.

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Frequently asked questions

Production scheduling software, also known as manufacturing scheduling software or advanced planning and scheduling (APS) software, sequences production orders against available machine, labor, and material capacity so a plant can hit delivery dates without overloading a bottleneck. It replaces manual, spreadsheet-driven scheduling with a system that accounts for real constraints.

Established platforms like Kinaxis, Blue Yonder, and o9 Solutions are strong tools for manufacturers whose scheduling problem fits a standard constraint model. Custom software makes sense once your changeover rules, multi-plant capacity allocation, or bottleneck sequencing logic get specific enough that a templated solver can't represent them well. We help assess the right fit during discovery.

Yes. Sequence-dependent changeovers, product-family grouping rules, and bottleneck-specific sequencing are exactly the kind of constraint logic we build custom, because a general-purpose APS solver represents them as an approximation at best.

Yes. We connect the scheduling engine to shop floor data so the schedule reflects actual machine and order status, rather than relying on an overnight batch run that's already stale by the next shift.

A single-plant scheduling tool typically runs $30,000-$70,000 and takes 14-18 weeks. A full multi-plant platform with custom constraint modeling and capacity allocation runs $70,000-$130,000 over 18-22 weeks. We scope a fixed cost after discovery.

We build the scheduling layer to work alongside your existing ERP, pulling order and inventory data from it rather than replacing it. Integration scope gets defined during discovery.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope Production Scheduling Software in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.