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@rgemas | Production Tracking System | Arge Bilişim argemas

@rgemas | Production Tracking System

Turkish production tracking software: OEE and traceability on a single dashboard

The summary below, what the argemas production tracking system is, what it covers and how it runs on the factory floor, is compiled from our approved corporate content.

What is a production tracking system?

A production tracking system is a digital system that records, in real time, on which machine, by which operator, for how long and at what quality level every part on the factory floor was produced. Its modern equivalent is the MES. The older term 'production tracking program' also covers Excel or simple barcode setups. argemas MES collects data directly from every station, machine and operator on the shop floor, unifying OEE tracking, loss analysis, quality control and performance reporting in real time on a single hub, an integrated operational management infrastructure that also embeds operator reward mechanisms based on measured productivity scores.

argemas MES as a production management system

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 is a platform that digitally closes the entire cycle from order to shipment. With AI-powered assignment algorithms, the digitalization of the MTM methodology and productivity-driven bonus and fair-pay systems, it manages the shop floor with advanced optimization.

OEE: real-time productivity tracking

OEE (Overall Equipment Effectiveness) measures the real production performance of a machine or line as the product of three components: $$\text{OEE} = \text{Availability} \times \text{Performance} \times \text{Quality}$$ The components are calculated as follows: $$\text{Availability} = \frac{\text{Run Time}}{\text{Planned Time}}$$ $$\text{Performance} = \frac{\text{Actual Count}}{\text{Target Count}}$$ $$\text{Quality} = \frac{\text{Good Count}}{\text{Total Count}}$$ 85% is accepted as the world-class standard. argemas collects the data for all three components automatically from shop-floor hardware and displays real-time OEE by shift, line and operator on Andon screens.

Machine integration: OPC-UA and legacy machines

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 legacy 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.

Automotive supply industry: IATF 16949-ready workflows

IATF 16949 is the global quality management standard for the automotive supply industry. It includes requirements for process control, lot/serial traceability, control-plan documentation, FMEA, PPAP and APQP. An IATF 16949-compliant MES digitally records the parameters of every operation, operator approvals and quality checks, making them instantly accessible during audits. In its automotive deployments, argemas delivers this standard out of the box. OEM audits require no additional documentation.

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

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Frequently Asked Questions

Frequently asked questions about production tracking systems, production management systems and machine integration.

A production tracking system is a digital system that records, in real time, on which machine, by which operator, for how long and at what quality level every part on the factory floor was produced. Its modern equivalent is the MES. The older term 'production tracking program' also covers Excel or simple barcode setups. argemas MES collects data directly from every station, machine and operator on the shop floor, unifying OEE tracking, loss analysis, quality control and performance reporting in real time on a single hub, an integrated operational management infrastructure that also embeds 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 is a platform that digitally closes the entire cycle from order to shipment. With AI-powered assignment algorithms, the digitalization of the MTM methodology and productivity-driven bonus and fair-pay systems, it manages the shop floor with advanced optimization.
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 legacy 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.
IATF 16949 is the global quality management standard for the automotive supply industry. It includes requirements for process control, lot/serial traceability, control-plan documentation, FMEA, PPAP and APQP. An IATF 16949-compliant MES digitally records the parameters of every operation, operator approvals and quality checks, making them instantly accessible during audits. In its automotive deployments, argemas delivers this standard out of the box. OEM audits require no additional documentation.