Arge Bilişim
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argemas MES | Arge Bilişim argemas

argemas MES

Turkish Manufacturing Execution System

argemas MES is a manufacturing execution system that monitors both machine and manual production processes on the shop floor in real time. Measures the performance, productivity and lost time of operators working on assembly lines as they happen. Makes losses visible so you can improve productivity and quality. And provides full traceability of labor, quality, energy and raw materials. Thanks to this end-to-end traceability you can create a digital product passport for your products and generate reliable data for your carbon-footprint work.

Published Company Scope

Long-Term Manufacturing Experience

These figures are scope data published from Arge Bilişim's own operating records, customer outcomes are presented separately with their evidence type stated.

200+

Factories

7

Countries

15+

Industries

2002

Founded

Module Categories

argemas MES Modules

Every module you need to manage your production processes from one smart center. Click a module for details.

Production Management

Productivity & Performance

Quality Control

Field Operations

Pay Systems & Personnel Management

Machinery & Technical Service

Integration & Infrastructure

All module details

AI-supported MES: what AI does in argemas

In the argemas Manufacturing Execution System, artificial intelligence and machine learning are used in the production functions below. Each item links to the page that describes it in detail.

  • AI-supported assignment optimization

    Evaluates real-time operator productivity and quality data, operation-similarity classification and operation difficulty levels together, and suggests the line balancing. When an operator changes mid-shift, it re-optimizes the line setup.

    Assignment optimization module

  • AI-based advanced planning and scheduling (AI-APS)

    Decides which order runs on which line, on which date and in which sequence, using recorded line efficiency per product, quality results and setup times. Re-optimizes the schedule on a new order, due-date change, capacity loss or line stoppage.

    AI-APS

  • End-of-day output prediction

    Using machine learning, live quantity reports for operations show how many units each operation will produce by the end of the day if things continue this way, so measures can be taken before bottlenecks form.

    Big data and AI applications

  • Predictive maintenance

    Analyzes analog machine data (vibration, current, temperature) from @rgeROVER and @rgeHYPATIA devices with machine-learning models. When an anomaly is detected, it assigns a maintenance task to technical service automatically.

    Predictive maintenance module

  • AI Layer

    Lets users ask production questions in natural language. Forecasts order delivery and the monthly target, and flags delay and breakdown risk with its evidence. Work orders, maintenance requests or plan changes start only through an authorized role's approval workflow.

    AI Layer
Seamless Integration

Our MES integrates seamlessly with more than 30 ERP systems used in Türkiye and around the world.

  • SAP
  • Microsoft Dynamics
  • Oracle
  • Netsis
  • Logo
  • Mikro
  • Eta
  • Canias
  • IFS
  • Infor
  • Axapta
  • JD Edwards
  • Epicor
  • BEAS
  • Nebim
  • Dia
  • Wolvox
  • Zirve
  • 30+ ERP Integrations

For custom integration needs, contact us

What is a Production Tracking System?

A production tracking system (internationally, MES, Manufacturing Execution System) is the software that lets you see what is happening inside the factory in real time. What is produced on which machine, how fast each operator is working, which line stopped and why, which part failed the quality test, with an MES all of this is recorded to the second. The shop-floor data itself replaces Excel, the paper on the board and the knowledge in the foreman's head.

ERP, often confused with MES, manages corporate processes such as orders, purchasing, costing and stock. ERP is the office's system, not the shop floor's. MES is the live brain of the production floor: it collects data from machines, operators, quality and energy; summarizes it with indicators such as OEE (Overall Equipment Effectiveness); and notifies managers instantly on Andon screens and mobile apps. When the two work integrated (for example argemas MES + your existing Logo / Netsis ERP), orders, production and cost all feed from the same data.

How does a production tracking system create value? Once downtime, quality problems and idle capacity share one data flow, teams can measure the baseline KPI, validate causes in work-order and machine context, and track the effect of each action. Published statements from managers at Alders, Gülce Tekstil and Görkem Giyim are available on the customer-reviews page. These are customer-reported outcomes, not an independent benchmark or guarantee.

argemas MES's modules, ready-made industry-specific flows and 30+ ERP integrations are listed above on this page. We can plan together which module is critical for you and in what order they should go live.

FAQ

Frequently Asked Questions

Frequently asked questions about argemas MES, production tracking systems, OEE and integrations.

MES (Manufacturing Execution System) collects data from machines, operators, quality, materials and energy on the shop floor in real time and makes it traceable, measurable and manageable. Unlike ERP's corporate-process focus, MES works like the shop floor's live brain: what is produced on which machine, how productively each operator works, and which downtime happened for which reason are recorded second by second. argemas MES has been applying this logic for 200+ customers since 2002, working fully integrated with all your corporate software.
A production tracking system is the digital system that records, in real time, on which machine, by which operator, in what time and at what quality every part in the factory is produced. Its modern equivalent is MES. Older "production tracking program" labels also cover Excel or simple barcode setups. argemas MES collects data directly from every station, machine and operator on the shop floor, and unifies OEE tracking, loss analysis, quality control and performance reporting in real time in a single center, including operator reward mechanisms based on measured productivity scores.
argemas MES is an integrated ecosystem of roughly 25 modules covering critical components such as order-based work-order management, line balancing, assignment optimization, real-time OEE, multi-stage quality control (in-line, end-of-line, final), lost time and operator performance. Working in full integration with ERP systems, it closes the whole cycle from order to shipment digitally. With AI-supported assignment algorithms, the digitalization of the MTM methodology, and productivity-based bonus and fair-wage systems, it manages the shop floor with advanced optimization.
OEE (Overall Equipment Effectiveness) measures the true production performance of a machine or line as the product of three components: OEE=Availability×Performance×Quality\text{OEE} = \text{Availability} \times \text{Performance} \times \text{Quality} The components are calculated as: Availability=Run TimePlanned Time\text{Availability} = \frac{\text{Run Time}}{\text{Planned Time}} Performance=Actual OutputTarget Output\text{Performance} = \frac{\text{Actual Output}}{\text{Target Output}} Quality=Good UnitsTotal Units\text{Quality} = \frac{\text{Good Units}}{\text{Total Units}} 85% is accepted as the world-class standard. argemas collects the data for all three components automatically from shop-floor hardware and shows real-time OEE by shift, line and operator on Andon screens.
ERP (Enterprise Resource Planning) manages corporate processes such as orders, purchasing, costing, stock and finance; it operates at an hourly-to-daily level. MES (Manufacturing Execution System) is the real-time brain of the shop floor; it monitors machines, operators and quality with second-by-second data. The two work integrated: ERP passes the order to MES, and MES feeds actual production back to ERP. argemas offers both layers as separate modules; your existing Logo / Netsis / SAP ERP can stay in place. You can digitalize just the production layer.
MES tracks what happens on the production line (operations, operators, quality, downtime). WMS tracks what happens in the warehouse (racks, pallets, shipments). MES is the shop floor's second-by-second brain. WMS is the warehouse's second-by-second brain. When they work together, the material a work order requires is fed to the line by WMS in the right sequence, and the finished product goes back into the WMS addressing system. argemas offers both together, providing closed-loop traceability from order intake to shipment.
Depending on project scope and factory size, between 6 and 24 months. In a typical mid-sized textile or automotive-supplier plant, the first modules go live within 3-6 months. Full integration and maturity are reached in 8-12 months. Complex multi-site rollouts can extend to 24 months.
Yes. Arge Bilişim's solutions are among the products eligible for support under the calls of KOSGEB's 'Digitalization' programs. Moreover, the company owns projects supported by the TÜBİTAK TİDEP/TTGB and KOSGEB R&D programs, the technical documentation required during the application process is provided by the Arge Bilişim team. Get in touch for detailed information.
Yes. argemas works fully integrated with all the corporate software you use, ERP, WMS and human resources (time & attendance). Providing two-way data flow with more than 30 global and local systems, it digitalizes the production layer without replacing your existing infrastructure. Thanks to this integration strength, it cuts typical digitalization timelines from 18 months down to as little as 6, enabling fast go-lives.
No. argemas is a production and warehouse layer installed on top of your existing Logo / Netsis / Mikro / SAP / Oracle ERP, it doesn't rip anything out. It works alongside it. With 30+ pre-built ERP integrations, order, BOM, stock and cost data are synchronized in both directions. Compared with rip-and-replace projects, this approach cuts implementation from 18 months to 6 and keeps risk to a minimum.
Yes. argemas collects data from CNC, injection, weaving, sewing and packaging machines via OPC-UA, Modbus TCP/RTU, Siemens S7, Allen-Bradley CIP/EtherNet/IP, Mitsubishi MELSEC and other common industrial protocols. For older machines, the @rgeRover IoT terminal reads analog (current, vibration, temperature) and digital (counter, limit switch) signals and brings them into the OPC-UA world. In mixed factories (modern + legacy machines) a single real-time production stream is created.
Assignment optimization is the mathematical problem of matching the operations, operators and machines on a production line so as to produce the highest possible productivity and quality outcome. The AI-supported algorithm developed by Arge Bilişim evaluates real-time operator productivity/quality data, operation-similarity classification and operation difficulty levels together, and suggests the ideal line balancing within seconds. When an operator changes mid-shift, the system re-optimizes the line setup.

Production Transformation with argemas MES

Get in touch with us to digitalize your production processes and increase your productivity.

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