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Advanced Production Scheduling (APS) & Finite Capacity Planning — A finite-capacity, constraint-aware production scheduler fo — 1/1Illustrative preview

A finite-capacity, constraint-aware production scheduler for ERPNext that turns Work Orders and Job Cards into a

live, drag-and-drop Gantt plan respecting machine, labor, and material availability. Built to order, installed, and supported by ECOSIRE.

What is Advanced Production Scheduling (APS) & Finite Capacity Planning?

A finite-capacity, constraint-aware production scheduler for ERPNext that turns Work Orders and Job Cards into a live, drag-and-drop Gantt plan respecting machine, labor, and material availability. Built to order, installed, and supported by ECOSIRE. Built to order by ECOSIRE for ERPNext v15, v16 — indicative price from $999.00 USD; request a quote for a scoped proposal.

Key Features

Finite-capacity scheduling pass that respects each Workstation's real working-hours calendar, holidays, and concurrent-job limit instead of ERPNext's infinite-capacity assumption
Operator/labor availability constraint: operations are only scheduled when a qualified, non-conflicting operator is free, modeled via an APS resource-calendar DocType
New `APS Schedule` + `APS Task` DocTypes that map one-to-one onto Work Order operations and Job Cards — no forking of standard ERPNext manufacturing data
Interactive drag-and-drop Gantt board (Frappe custom page / client script) with live pan, zoom, and per-workstation swimlanes
Auto-reschedule on drag: moving one operation cascades to dependent and competing tasks and immediately revalidates capacity
Real-time conflict flagging that blocks silent double-booking of a workstation or operator and highlights the offending tasks
What-if simulation mode: clone the live schedule to a sandbox, inject a rush order or machine downtime, review impact, then commit or discard
Bottleneck detection that surfaces the constraining workstation and the resulting late Work Orders with quantified slack/lateness
Material-availability-aware sequencing: operations wait on projected stock qty and expected PO/Material Request receipt dates before they can start
Configurable sequencing rules — earliest-due-date, priority weighting, and setup-time minimization that groups like changeovers to reduce lost capacity
Setup-time and per-unit run-time modeling drawn from BOM operations, with sequence-dependent setup handling
Write-back to standard Job Card `from_time`/`to_time` and Work Order `planned_start_date` so native ERPNext reports and execution stay in sync
`hooks.py` doc events on Work Order / Job Card / Material Request that keep the schedule feasible as production reality changes
Whitelisted REST endpoints (`frappe.whitelist()`) for triggering re-optimization or reading the plan from MES/shop-floor screens, plus a `scheduler_events` nightly full re-plan job
Role-profile-based permissions separating planners (edit/commit) from shop-floor and management (view-only) using your existing manufacturing roles

Built to order, done for you

No DIY setup — a working app, built, installed and supported by ECOSIRE.

  1. 1

    You order

    Start with a one-time build price. We scope it with you at kickoff.

  2. 2

    We build & install

    ECOSIRE builds, configures and installs it on your ERPNext.

  3. 3

    Go live + support

    You go live in about one working week, with two weeks of go-live support. Defects in the code we deliver are fixed free of charge.

Technical Specifications

ERPNext Compatibility
—
License
Licence confirmation required
Python Requirement
Python 3.10+
Database
MariaDB 10.6+

About this Product

ERPNext's native Production Plan and Work Order engine is excellent at answering "what and how much to make" — it explodes BOMs, nets against stock, and raises material requests. What it does not do is answer "when, on which workstation, in what sequence, and can we actually hit the promised date." Native scheduling assumes infinite capacity: two Work Orders needing the same CNC on the same shift are both happily "planned," and the Gantt in the desk is a static read-out, not a plan you can push, pull, and re-optimize. For a discrete or job-shop manufacturer running dozens of concurrent orders across shared workstations and skilled operators, that gap turns into missed due dates, expedite chaos, and planners maintaining the real schedule in a spreadsheet outside ERPNext.

We build a proper Frappe app — its own installable module, not a pile of loose customizations — that layers finite-capacity, constraint-aware scheduling on top of your existing ERPNext manufacturing data. The core is a new APS Schedule DocType plus per-operation APS Task child records that map one-to-one onto your Work Order operations and Job Cards, so nothing is duplicated or forked away from standard ERPNext. A whitelisted scheduling service (exposed via frappe.whitelist() and the standard REST API) runs a finite-capacity pass over each Workstation's real working-hours calendar and operator availability, honoring setup time, run time per unit, and material readiness dates pulled from stock projected-qty and expected PO/MR receipts. The result is written back to Job Card from_time/to_time and Work Order planned_start_date, so downstream ERPNext (capacity reports, Job Card execution, timesheets) sees a schedule it already understands.

The planner works in a drag-and-drop Gantt board delivered as a Frappe client script / custom page: drag an operation and the app auto-reschedules dependent and competing tasks, flags any capacity or material conflict in real time, and refuses to silently double-book a workstation. Sequencing rules are configurable — earliest due date, priority weighting, and setup-time minimization (grouping like setups to cut changeovers) — and a what-if mode lets a planner clone the live schedule into a sandbox, simulate a rush order or a machine breakdown, see the bottleneck workstation and the knock-on late orders, then commit or discard. Server-side hooks.py doc events keep the schedule honest as reality changes (a Work Order is submitted, a Job Card completes, a Material Request is received), and a scheduler_events background job can run a nightly full re-optimization so each morning starts from a feasible plan. Role profiles and permissions gate who can plan versus who can only view, integrated with your existing ERPNext manufacturing roles.

Because this is build-to-order, we start from your actual routings, workstations, shift calendars, and scheduling rules rather than a generic template. After a scoping call we confirm the exact DocType fields, sequencing logic, and integration points, then build against Frappe/ERPNext v15 (and v16 where you are already on it), validate on a staging clone of your site under UAT, and hand over the full git repository. Typical delivery is one working week from confirmed scope. There is no instant download — you get a version built for your plant, installed with bench get-app/bench install-app, documented, and supported.

What you get

  • Installable Frappe app source code for your ERPNext version (v15, and v16 where applicable), built for your plant's routings and rules
  • On-site or remote installation and configuration on your bench, including workstation calendars, operator resources, and sequencing rules
  • Technical documentation: DocType schema, whitelisted API methods, hooks/scheduler events, and architecture notes for your team
  • Planner user guide plus a live training session for production planners and supervisors
  • Post-go-live support window for bug fixes and scheduling-logic adjustments after launch
  • UAT on a staging clone of your site with a documented test plan and a clean rollback procedure
  • Full git repository handover with commit history, branch/tag strategy, and README for future maintenance
  • Configuration workbook capturing your scheduling parameters (shifts, setup rules, priorities) for reproducible re-installs

Who this is for

Production Planner / Scheduler

Runs the daily plan across shared machines and skilled operators and has outgrown ERPNext's infinite-capacity Production Plan. Needs a feasible, drag-and-drop finite-capacity schedule with instant conflict feedback instead of maintaining the real plan in Excel.

Plant / Operations Manager

Owns on-time delivery and machine utilization at a discrete or job-shop manufacturer. Needs bottleneck visibility, what-if impact analysis for rush orders and breakdowns, and confidence that promised dates are actually achievable before committing.

ERPNext / IT Systems Owner

Maintains the ERPNext instance and wants scheduling delivered as a clean, documented Frappe app on v15/v16 — proper DocTypes, hooks, and whitelisted APIs — with git handover, not brittle customizations that break on upgrade.

Manufacturing Consultant / Implementation Lead

Rolling out ERPNext for a make-to-order client and needs finite-capacity scheduling that native ERPNext lacks, delivered to a confirmed scope with UAT and a rollback plan they can stand behind.

How Advanced Production Scheduling (APS) & Finite Capacity Planning Compares

CriterionECOSIRECustom BuildCompetitorERPNext Native
Capacity modelTrue finite capacity across machines, operators, and materialsDepends entirely on your in-house buildOften still card-based or infinite-capacityInfinite capacity — no real machine/operator contention
Scheduling interfaceInteractive drag-and-drop Gantt with auto-rescheduleWhatever you have time to build and maintainUsually a read-only or basic timeline viewStatic Gantt read-out in the desk, not editable planning
What-if / bottleneck analysisSandbox simulation with bottleneck and late-order impactRarely built — high effort to get rightLimited or absentNot available
ERPNext integrationNative DocTypes, hooks, and write-back to Job Card / Work OrderRisk of brittle customizations that break on upgradeVaries; may sit apart from core dataFully native but capacity-blind
Fit to your processBuilt to your routings, shifts, and sequencing rulesFully bespoke but you own all the riskGeneric template — you adapt to itGeneric — you adapt to it
Delivery & timelineone working week from confirmed scope, UAT + rollbackUnpredictable; often months of internal effortInstant install but generic fitAlready present, no fit work
Support & ownershipPost-go-live support plus full git repo handoverYou maintain it aloneVendor support, no source ownershipCommunity/partner support only
Version supportBuilt for Frappe/ERPNext v15 and v16You track compatibility yourselfDepends on the app's maintenanceShips with your ERPNext version

Frequently Asked Questions about Advanced Production Scheduling (APS) & Finite Capacity Planning

Is this a ready-made app I can download and install today?

No. This is build-to-order. We build the app around your actual routings, workstations, shift calendars, and scheduling rules, then install and support it. There is no instant download — you receive a version built for your plant, delivered with source code, docs, and a git handover.

How long does delivery take?

Typical delivery is one working week from confirmed scope. After the initial scoping call we lock the DocType fields, sequencing logic, and integration points; the timeline depends on the complexity of your routings and how many constraints (operators, tooling, materials) you want modeled. We give a firm estimate before any work starts.

How does it stay compatible with standard ERPNext and future upgrades?

It ships as a separate Frappe app with its own DocTypes, `hooks.py` doc events, and whitelisted methods, and it writes back to standard Job Card and Work Order fields rather than forking core manufacturing. We build against Frappe/ERPNext v15 (and v16 where you're already on it) so it survives upgrades far better than ad-hoc customizations.

What kind of support and updates do I get after go-live?

Every build includes a post-go-live support window for bug fixes and scheduling-logic adjustments. Because you receive the full git repository, your own team can also maintain and extend it. Ongoing enhancements, new constraints, or version upgrades beyond the support window are available as a separate scoped engagement.

Will it disrupt our existing Work Orders and Job Cards during rollout?

No. We validate everything on a staging clone of your site under UAT before touching production, and we include a documented rollback plan. The app reads your existing manufacturing data and writes back to standard fields, so native ERPNext reports and Job Card execution continue working as your team already knows them.

How is the drag-and-drop schedule kept feasible when the shop floor changes?

Server-side `hooks.py` doc events react when a Work Order is submitted, a Job Card completes, or a Material Request is received, revalidating affected tasks. A configurable `scheduler_events` background job can run a nightly full re-optimization so each shift starts from a capacity-feasible plan, and the Gantt flags any new conflict in real time.

Can it account for material and component availability, not just machines?

Yes. Operations are sequenced against projected stock qty and expected receipt dates from your open Purchase Orders and Material Requests, so an operation won't be scheduled to start before its inputs are realistically available. Material readiness is treated as a first-class constraint alongside workstation and operator capacity.

Request a quote

Advanced Production Scheduling (APS) & Finite Capacity Planning

A finite-capacity, constraint-aware production scheduler for ERPNext that turns Work Orders and Job Cards into a live, drag-and-drop Gantt plan respecting machine, labor, and material availability. Built to order, installed, and supported by ECOSIRE.

  • Finite-capacity scheduling pass that respects each Workstation's real working-hours calendar, holidays, and concurrent-job limit instead of ERPNext's infinite-capacity assumption
  • Operator/labor availability constraint: operations are only scheduled when a qualified, non-conflicting operator is free, modeled via an APS resource-calendar DocType
  • New `APS Schedule` + `APS Task` DocTypes that map one-to-one onto Work Order operations and Job Cards — no forking of standard ERPNext manufacturing data
  • Interactive drag-and-drop Gantt board (Frappe custom page / client script) with live pan, zoom, and per-workstation swimlanes

Request a Quotation

Tell us about your Advanced Production Scheduling (APS) & Finite Capacity Planning requirements and we'll send pricing, licensing options and a tailored proposal — usually within one business day.

No payment now. This sends a quote request to our team — we'll follow up by email with pricing and next steps.