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MANUFACTURING

Run manufacturing end-to-end.

From planning and shop-floor to quality and maintenance — full-chain transparency on one platform.

Deliver on time Less defects & waste Full traceability
Built for: Plant Director · Production · Quality

Module scope, deployment model and each side's responsibilities are defined per company during the survey phase.

MANUFACTURING
OEE87.4%+3.1%
Scrap rate0.9%−0.4%
On-time delivery96.2% 

Illustrative figures from real deployments.

PAIN POINTS

The line keeps running, but nobody can point to where the output is leaking.

PAIN POINTSOUTCOMES

Lack of supply-chain transparency

Hard to track materials, progress and inventory in real time.

100%
Lot/serial traceability

High defect rate & waste

Late defect detection, missing root-cause analysis.

Lower defect & return rate
Quality

Suboptimal capacity & inventory

Manual planning, unplanned downtime, low OEE.

Higher equipment effectiveness
OEE

Outcomes are directional; the level of improvement depends on each company's processes, data quality and implementation scope.

INDUSTRY VALUE CHAIN

From the drawing to the day the product runs at your customer's site.

Design-to-Operate
1Design & Plan
COVERED BY
MESBI
AGENT ON DUTYAmi Demand
2Source
COVERED BY
PurchasingInventory
AGENT ON DUTYAmi Sourcing
3Make
COVERED BY
MES
AGENT ON DUTYAmi Scheduling
4Quality
COVERED BY
QMS
AGENT ON DUTYAmi Quality
5Deliver & Service
COVERED BY
SalesMaintenance
AGENT ON DUTYAmi Care

You walk the whole chain without stepping outside the system: every stage has a module behind it, and each stage's figures are the next stage's input.

The agents are not bolted onto this chain: each stage has one standing on that stage's own module, running inside the caller's permissions — so no two stages are joined by a connector.

SUB-INDUSTRY VARIANTS

One platform, configured differently per sub-industry.

What really separates manufacturing sub-industries is how the BOM is defined and how deep traceability has to go — those two decisions drive most of the rest.

Textiles & apparel

Size/colour BOMs, material consumption norms and outsourced work.

  • Size/colour matrix on a single product code
  • Material consumption and waste norms per style
  • Outsourced operations (CMT) and goods-out tracking

Food

Batches, expiry dates, FEFO picking and two-way traceability.

  • Batch and expiry tracked across warehouse, production and delivery
  • FEFO picking instead of FIFO
  • Two-way traceability from ingredient batch to finished batch

Electronics

Multi-level BOMs, serial numbers and engineering change control.

  • Multi-level BOMs with sub-assemblies
  • Serial numbers per individual unit
  • Engineering change orders (ECO) with approvals

Building materials

Mix formulas, batch output and energy cost.

  • Mix formulas and per-batch tolerances
  • Output recorded by weight or batch, not by piece
  • Energy and kiln operating cost carried into product cost

Pharma & medical devices

Registration numbers, lot and expiry, recall scope and cold chain under GMP/GSP.

  • Registration number, pack format and storage conditions per item
  • Two-way lot tracing so a recall stays narrow
  • Cold chain: temperature limits, monitoring devices and per-lot records

Wood & furniture

BOMs by panel size, cutting waste and made-to-design orders.

  • Consumption by panel dimension and cutting waste ratio
  • Made-to-design orders with the drawing attached to the work order
  • Finishing steps (coating, assembly) and surface inspection

Seafood processing

Traceability to the farm lot or catch trip, freezing and processing yield.

  • Raw lots tied to a farming area or a catch trip
  • Yield through each processing and freezing step
  • Test records and storage conditions per shipped lot

These are CONFIGURATION differences, not separately sold packages — the scope for your company is agreed during the survey phase.

A DAY IN OPERATIONS

A day in the plant, seen from four desks.

One work order passes through the supervisor, the warehouse lead and the chief accountant in a single day — each reads it with their own numbers, off the same record.

Shop-floor supervisor

Goal

Run production in real time: work orders, OEE and andon alerts.

Modules
  • MES
  • BI
  1. Open MES → Work orders, filter to the current shift and watch progress at every operation on the line.
  2. Pick order LSX-0318: compare actual output against plan and post the shift's output straight from the board.
  3. Open the OEE chart for the line currently running — click the dip to read the downtime reason logged automatically at the station.
  4. Take the andon alert from the press station: acknowledge it, assign a technician and track the response time.
  5. End of shift: approve the output report — the figures flow through to costing and BI, nobody retypes them.

Materials warehouse lead

Goal

Control material receipts and issues, and count stock without stopping the line.

Modules
  • Inventory
  • MES
  1. Receive the steel-sheet PO into the warehouse: scan the code, record the lot number and the pending-inspection status.
  2. Issue materials to order LSX-0318 against the request — the system deducts the right lot from the right rack.
  3. Open the below-minimum stock alert: raise a replenishment request that goes straight to purchasing.
  4. Start a cycle count in zone A: count with the scanner, the system writes the variance record itself.
  5. Check the live stock board — the same number finance and the supervisor are reading.

Chief accountant

Goal

Approve journal entries and review costing on real production data.

Modules
  • Finance
  • MES
  1. Open Finance → Entries awaiting approval: the queue is generated from the day's goods receipts and production postings.
  2. Open a cost-allocation entry: trace straight back to the work order and the original material issue.
  3. Approve in bulk the entries already matched to their documents; flag one that is off and ask for an explanation.
  4. Open the costing sheet for LSX-0318: actual against standard cost, with the variance broken down by element.
  5. Run a trial period-close check and read the P&L updated with what you just approved.

Chief executive

Goal

See the whole plant on one real-time BI cockpit.

Modules
  • BI
  • Apus Office
  1. Open the executive cockpit: revenue, output, OEE and cash on a single screen.
  2. Drill into the OEE that is slipping → down to the line, the shift and the downtime reason behind it.
  3. Compare product-line costing this quarter with last quarter and see which element pushed it up.
  4. Assign work straight from the chart: raise a task for the supervisor with a snapshot of the odd figure attached.
  5. Set an alert threshold on each line's OEE so you are told when it drops below the level you chose.

The steps describe the standard flow on exactly the modules above. Roles, permission levels and where the shop floor records data are agreed for your plant during the survey phase.

AGENTS ALREADY DO

Reconciling, chasing due dates, summarising and rolling up — the repetitive work running through the day above.

PEOPLE STILL DECIDE

Approving spend, settling on a plan, signing — anything that needs judgement still stops with a person.

Equipment effectiveness gain
REAL RESULTS

Lower defect rate, better detection accuracy and improved OEE across plants.

TASA Group
TASA Group · Manufacturing · trillion-VND
Production, quality and maintenance on one platform — data flows from the shop floor to finance.
Read the full case study
Trusted by
EdufitCTHApodioTASA GroupThanh Long GroupUNIS
HOW DELIVERY WORKS

A defined path, not an open-ended project.

  1. 01

    Survey & agree scope

    Map current processes, the systems in use, data owners and which modules to switch on.

  2. 02

    Standardise & configure

    Agree the standard processes, configure the system around them, fix roles and permissions.

  3. 03

    Migrate & run in parallel

    Load master data and opening balances from the templates, run in parallel, reconcile and fix gaps.

  4. 04

    Go-live & expand

    Run for real with an activation team, accept against a checklist, switch on further modules later.

Starting from a scope with clear boundaries is consistently faster and safer than switching everything on at once — expansion then happens on data that is already live.

Not the right fit at this stage if you need

  • To immediately replace a specialist system that is your system of record
  • Deep customisation outside the standard process before the system runs for real
  • Automated decisions replacing people at material control points
  • Multi-year historical data conversion before the source data is cleaned
FAQ

What plant directors ask first.

Does Apus connect to shop-floor machines?+

Yes. MES captures field data and computes OEE and productivity in real time.

Is there lot/serial traceability?+

Yes. Full traceability from materials to finished goods, tied to inventory and quality.

Can it deploy across multiple plants?+

Yes. Multi-plant, multi-branch with centralized management on one data layer.

Is on-premise available to keep data on-site?+

Yes. SaaS, on-premise and source-code handover depending on your data sovereignty needs.

How long does implementation take and what does it cost?+

Duration depends on module count, legal entities and process complexity; the Essentials industry template commits to go-live in 90-120 days. The cost has three lines, all stated up front: implementation (one-off), capacity-based usage (recurring, never per user) and data migration (billed separately).

What happens to the data we hold in Excel or an older system?+

Apus provides standard import templates for master data, opening stock and opening receivables so your team can load them — that part is in the package. If you want Apus to map fields, clean and load for you, or to convert multi-year history, that is the separately billed data-migration line.

See the platform run on your line.

Book a demo built around your product mix, line size and the traceability level you need.

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