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Kısa bilgiler
- Fiyat
- $499.00 USD
- ERPNext versiyonları
- —
- Kurulum süresi
- 30 dk.
- Lisans
- Bir kerelik kalıcı
- Diller
- 11 language
Tek Seferlik Satın Alma
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.
$499.00USD
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Temel Özellikler
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
Bu Ürün Hakkında
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.
Neden Advanced Production Scheduling (APS) & Finite Capacity Planning
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
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 2–4 weeks 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.
Ne elde edeceksin
- 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
Bu kimin için
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.
Kuruluma genel bakış
ECOSIRE'dan indirin
Lisansı ecosire.com adresinden satın alın ve hesap kontrol panelinizden Advanced Production Scheduling (APS) & Finite Capacity Planning uygulamasının ZIP dosyasını indirin.
Uygulamayı bankınıza ekleyin
ZIP dosyasını tezgahınızın uygulamalar klasörüne çıkarın veya çıkarılan uygulamanın yolunu içeren "bench get-app" komutunu çalıştırın.
Sitenize yükleyin
Advanced Production Scheduling (APS) & Finite Capacity Planning yüklemek ve şemasını uygulamak için `bench --site SITE_NAME install-app APP_NAME` komutunu ve ardından `bench move'u çalıştırın.
Lisansınızı etkinleştirin
Sitenizdeki ECOSIRE Lisans ayarlarını açın ve lisans anahtarınızı etkinleştirin. Ücretsiz ecosire_connect ve ecosire_license_client uygulamalarını gerektirir.
Advanced Production Scheduling (APS) & Finite Capacity Planning Nasıl Karşılaştırılır
| Kriter | ECOSIRE | Özel Yapı | Rakip | Odoo Yerlisi |
|---|---|---|---|---|
| Capacity model | True finite capacity across machines, operators, and materials | Depends entirely on your in-house build | Often still card-based or infinite-capacity | |
| Scheduling interface | Interactive drag-and-drop Gantt with auto-reschedule | Whatever you have time to build and maintain | Usually a read-only or basic timeline view | |
| What-if / bottleneck analysis | Sandbox simulation with bottleneck and late-order impact | Rarely built — high effort to get right | Limited or absent | |
| ERPNext integration | Native DocTypes, hooks, and write-back to Job Card / Work Order | Risk of brittle customizations that break on upgrade | Varies; may sit apart from core data | |
| Fit to your process | Built to your routings, shifts, and sequencing rules | Fully bespoke but you own all the risk | Generic template — you adapt to it | |
| Delivery & timeline | 2–4 weeks from confirmed scope, UAT + rollback | Unpredictable; often months of internal effort | Instant install but generic fit | |
| Support & ownership | Post-go-live support plus full git repo handover | You maintain it alone | Vendor support, no source ownership | |
| Version support | Built for Frappe/ERPNext v15 and v16 | You track compatibility yourself | Depends on the app's maintenance |
Advanced Production Scheduling (APS) & Finite Capacity Planning hakkında Sıkça Sorulan Sorular
+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 2–4 weeks 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.
Teklif isteyin
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