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    Production Planning & Scheduling
    Manufacturing / Production Planning & Scheduling

    Production Planning & Scheduling

    We engineer advanced planning and scheduling platforms that optimize production sequences, balance capacity across resources, and re-plan in real time when the floor throws a curveball — replacing the spreadsheets your planners can't live without but shouldn't have to.

    22%
    Improvement in on-time delivery
    30%
    Reduction in changeover time through optimized sequencing
    Minutes
    Re-scheduling after disruptions, not hours

    Trusted by global innovators

    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Industry Overview

    Production Planning & Scheduling: Engineered End-to-End

    ERP planning modules assume infinite capacity and static lead times. Real factories have shared equipment, sequence-dependent setups, material constraints, and a floor that never runs exactly to plan. We build APS systems that model your actual constraints and re-optimize continuously.

    Industry Challenges

    What Stops Most Teams From Solving This Today

    Common friction points we hear from manufacturing teams scoping this kind of platform.

    • Infinite-Capacity Fantasy: ERP MRP runs assume every work center is always available — planners manually adjust the output in Excel.

    • Sequence-Dependent Setups: Color-to-color, size-to-size, and tool changeovers vary dramatically but aren't modeled in the planning system.

    • Disruption Paralysis: When a machine goes down or a material is late, re-planning takes hours of manual spreadsheet work.

    • Siloed Planning: Production, maintenance, and quality schedules are managed in separate tools with no shared constraint model.

    Our Approach

    Our Engineering Approach

    We engineer for the operational reality — not the demo.

    Finite-Capacity Optimization

    Constraint-based solvers model every resource, tool, operator skill, and material availability to produce feasible, optimized schedules.

    Real-Time Re-Planning

    When disruptions hit, the solver re-optimizes in minutes — not hours — showing planners the best recovery path.

    MES & ERP Closed Loop

    Schedules push to MES for execution; actuals flow back for continuous re-planning against reality.

    Capabilities

    Capabilities

    Production-grade features the platform ships with from day one.

    Finite Capacity Scheduling

    Model machines, tools, operators, and materials as explicit capacity constraints.

    Sequence Optimization

    Minimize changeover time through intelligent product sequencing algorithms.

    What-If Scenarios

    Run alternative schedules and compare KPIs before committing to the floor.

    Real-Time Re-Planning

    Automated re-scheduling when machines go down, materials are late, or priorities shift.

    Demand Integration

    Pull demand signals from ERP, EDI, and customer portals for rolling-horizon planning.

    Maintenance Windows

    Co-schedule planned maintenance with production for minimum throughput impact.

    Visual Gantt & Timeline

    Interactive Gantt charts with drag-and-drop override and constraint violation warnings.

    KPI Dashboards

    On-time delivery, utilization, changeover time, and WIP level tracked in real time.

    Multi-Plant Planning

    Cross-plant capacity balancing and inter-plant transfer optimization.

    How It Works

    Reference Architecture

    How data and decisions flow end-to-end.

    Demand Ingestion

    ERP orders, EDI demand, and forecast signals pulled into a unified demand model.

    1

    Constraint Model

    Resources, tools, skills, materials, and changeover matrices modeled as optimization constraints.

    2

    Solver Engine

    Mixed-integer and heuristic solvers produce feasible, optimized schedules in minutes.

    3

    Planner Interface

    Interactive Gantt with drag-and-drop, what-if, and KPI comparison views.

    4

    MES Integration

    Schedules dispatched to MES; actuals feed back for continuous re-planning.

    5

    Analytics & Reporting

    Adherence, utilization, and delivery performance tracked across horizons.

    6
    Engineering Stack

    Technology Stack

    A pragmatic stack chosen for reliability, speed, and ease of operation.

    Optimization

    OR-ToolsGurobiOptaPlannerCustom Heuristics

    Core

    PythonGoTypeScriptGraphQLgRPC

    Data

    PostgreSQLRedisKafkaTimescaleDB

    Apps

    Next.jsReactD3.jsTailwind

    ERP

    SAP RFC/IDocOracle RESTD365 DataverseEDI X12

    Infra

    KubernetesVaultTerraformPrometheus
    Measured Impact

    Measured Impact

    Quantified outcomes from production deployments.

    22%
    On-time delivery improvement

    Through feasible, constraint-aware scheduling.

    30%
    Changeover reduction

    Via sequence optimization across product families.

    <5 min
    Re-scheduling time

    After machine breakdown or material delay.

    15%
    Higher resource utilization

    Through better capacity balancing across shifts.

    APS for a Multi-Plant Packaging Manufacturer

    A flexible packaging manufacturer running 14 printing and converting lines across two plants was planning in Excel — every disruption triggered hours of manual re-sequencing. We delivered a constraint-based APS in six months.

    On-time delivery improved from 71% to 93%, changeover waste dropped 30% through color-sequence optimization, and planners now re-schedule after press breakdowns in under five minutes instead of two hours.

    Case Study
    APS for a Multi-Plant Packaging Manufacturer
    Use Cases

    Where This Earns Its Keep

    Common deployment patterns we see across customers.

    01

    Mixed-Model Assembly

    Sequence and balance mixed-model assembly lines for minimum takt variation.

    02

    Batch Process Scheduling

    Schedule reactors, ovens, and clean-in-place cycles with shared resource constraints.

    03

    Print & Packaging Sequencing

    Optimize color sequences and substrate changes to minimize wash and waste.

    04

    Tool & Die Scheduling

    Coordinate shared tooling across machines with setup and teardown windows.

    05

    Multi-Plant Load Balancing

    Distribute orders across plants based on capacity, capability, and logistics cost.

    06

    Make-to-Order Promise

    Real-time available-to-promise dates based on actual finite capacity.

    Integrations

    Integrates With Your Existing Stack

    We connect to the systems your teams already know.

    ERP

    SAP S/4HANA PP/DSOracle SCM CloudMicrosoft D365 SCM

    APS

    Siemens Opcenter APS

    MES

    Rockwell Plex

    Planning

    Blue Yonder

    S&OP

    Kinaxis RapidResponse

    Compliance-First Development Services Backed by Global Standards

    We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.

    SOC2 logo

    Service Organization Control 2

    Verified controls for security, availability, and confidentiality of enterprise data systems.

    ISO 27001 logo

    Information Security Management

    Adhering to the international gold standard for managing information security risks.

    ISO 9001 logo

    Quality Management Systems

    Ensuring consistent quality in software delivery and operational process optimization.

    Our Edge

    Why Global Leaders Choose Us

    We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.

    Enterprise-Grade Security

    We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.

    High-Performance Scaling

    Our architectures are built to handle massive data loads and user bases, ensuring seamless performance whether you're serving ten or ten million.

    Accelerated Time-to-Market

    Leveraging our suite of internal tools and proven frameworks, we reduce development cycles and get your product to market 40% faster.

    Embedded AI Integration

    Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.

    Engagement Model

    Engagement Model

    Predictable, structured delivery from kickoff through long-term ownership.

    01

    Discovery & Scoping

    We map the existing systems, constraints, and stakeholders to scope a focused 8–12 week first delivery.

    02

    Architecture & Pilot

    A working slice on a representative environment — proving the data flow end-to-end before scaling.

    03

    Production Engineering

    Hardened services, observability, access controls, and audit logging go live behind your IAM.

    04

    Operate & Iterate

    We stay on as the embedded engineering team — closing tickets, tuning models, and shipping new value.

    Voices of Success

    We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

    Benchmark

    "I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."

    Aaron Phelan

    Aaron Phelan

    Founder, Benchmark

    My Lauren

    "Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."

    Kim Smith

    Kim Smith

    Founder, My Lauren

    Latimer

    "Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."

    John Pasmore

    John Pasmore

    Founder, Latimer

    Frequently Asked Questions

    SAP PP/DS is powerful but rigid. Our APS sits alongside SAP, pulling demand and pushing optimized schedules back. We model constraints SAP can't — like sequence-dependent setups and shared tooling — and re-plan in minutes, not hours.

    Build your next manufacturing platform with us

    We engineer production-grade manufacturing platforms end-to-end. Talk to us about scoping a focused 8-week pilot.