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GAZIANTEP · PRODUCTION TRACKING AND MES

A production tracking system that carries what happens at the machine into the office

Numbers copied from paper after the shift ends are not enough to manage production. We build a system that sends work orders down to the floor, captures data at the machine and line the moment it is born, records downtime with its cause, and tracks waste and batches. In software terms this layer is called an MES (manufacturing execution system); it is written around the reality of the carpet weaving, textile, plastics and food facilities of Başpınar and Şehitkamil, not from a ready-made template.

The picture in Gaziantep
  • According to our own field research, 107 carpet companies are registered in the Gaziantep organised industrial zone (OSB); carpet is one of the sectors that carries real weight in this city. On a weaving loom, production tracking has a clear meaning: loom speed, yarn breaks, downtime causes, metres produced and roll-based records. If this data is not collected, loom efficiency cannot even be discussed.
  • In the same research, textiles is the largest group with 257 companies. In yarn, weaving, knitting and garment production, tracking does not end at the factory walls; goods going to and returning from subcontractor workshops around Şehitkamil and the OSB must also be inside the system, or waste and deadlines stay invisible.
  • Plastics and packaging came to 116 companies, machinery and metal to 89. In injection and extrusion the tracking logic differs from carpet: mould changeover time, cycle time, scrap rate and machine-based downtime come to the fore. You cannot install the same program in two sectors the same way.
  • Food counts 145 companies; in the sub-breakdown around 45 appear in flour and milling, 6 in bulgur and pulses and 6 in oils. These sub-figures are estimates. In food, the real decider is batch traceability and being able to reconstruct the chain backwards in a recall scenario.
  • We visit the Başpınar OSB zones and facilities in Şehitkamil in person. A production tracking system cannot be written from behind a desk; a screen designed without seeing the noise and dust of the weaving hall, the operator's gloves and the shift handover will not be used on the floor.

Where production tracking collapses

  • Production data is entered in the office from paper after the shift ends. The numbers arrive late, arrive incomplete and arrive coloured by whoever typed them in; the chance to intervene has already passed.
  • When a loom or machine stops, nobody classifies the reason. At month end the total downtime is known, but whether it was a breakdown, a setup, waiting for material or a shift handover is not — so no improvement decision can be made.
  • Waste is recorded in bulk. Because nobody writes down on which machine, in which batch, on which shift and for what reason it occurred, the waste-reduction conversation runs on guesswork.
  • Work orders travel on paper. Which order went to which machine, how much of it is complete and when it will finish can only be learned by walking the production hall and asking.
  • Three different numbers circulate for the same day: the foreman's notebook, the production manager's Excel and accounting's system. Meetings are spent arguing over which number is right.
  • When a complaint arrives from an export buyer, nothing can be traced back. Which raw material batch, which machine and which shift the shipped goods came from is not in the system, so the root cause is never found.
  • Shift performance is discussed on gut feeling, not measurement. Which shift stops more, which operator struggles with which product — none of it is on record, so every decision from bonuses to training is made on intuition.
  • A production tracking package was bought but the floor does not use it. The screen takes too many steps, demands a keyboard, and loses data when the network drops; within two days the operators had gone back to the notebook.
  • Machine data could be captured but is not. Some looms have counters or control units that emit data, but nobody has connected them to the system, so the same information is entered by hand.
  • Production data is not fed back into the ERP. Because actual output never enters the cost calculation, order profitability is worked out long after the job ends — and from the theoretical recipe at that.

A production tracking layer the floor actually uses

Whether a production tracking system works is judged not by its screen count but by whether the operator uses it. So we start not from the software but from the floor: which data can be captured, from whom, when and how. What follows is not the module list of a standard package but the parts we select for your flow after discovery.

Work orders that reach the floor

A work order opened in the ERP or inside the system lands on the floor by machine and by operator. Start, pause and complete are recorded from the floor screen with a single touch. Plan and actual sit side by side; how far each order has progressed is visible without walking the production hall.

Data capture at the machine and line

Data is collected where it is born. If the machine's counter or control unit emits data, we pull it directly; if not, we capture it from the operator with barcode scans and a big-button floor terminal. Connecting hardware to software is not a new job for us: we have previously built a system that joined a weighbridge scale and a label printer into a single weighing and labelling station. Screens are designed for gloved hands, dusty environments and getting the job done in two steps; when the network drops, data waits on the terminal and transfers once the connection returns.

Downtime, waste and scrap with cause codes

Every stoppage and every waste entry is recorded with a cause code: breakdown, setup, mould change, waiting for material, yarn break, shift handover and so on. The cause list is built in the language of your own floor, with the words your foreman actually uses. So at month end the conversation is not about total hours but about where the loss comes from.

Batch and lot traceability

The chain from raw material batch to finished product is built on a single number. From a shipped item you can go back and see which raw material, which machine and which shift it came from. This is the foundation that export buyers' traceability demands and the food sector's recall scenarios are looking for.

Shift reports and feedback into the ERP

Production, downtime and waste reports by shift, line and machine are generated automatically; nobody has to fill in Excel in the evening. Actual production is fed back into Logo, Mikro or Netsis as stock and cost movements, so order costs rest on reality rather than the theoretical recipe. We have previously developed a layer beside an installed Netsis system on exactly this logic, without touching it.

Floor display and management screen

The line's live status, shift target and deviation are visible on a large screen on the floor; operators and foremen know where they stand. The manager sees the same picture on their phone. We have previously built an 11-module factory management panel; the approach is the same — plain screens that drive decisions.

How we set up production tracking

  1. 01

    Machine-by-machine data source survey

    We come to your facility and ask one question for every machine and line, one by one: can this data be pulled from the machine, and if not, who will enter it, when and how? We separate the machines with and without control units, and finalise the list of automatically versus manually collected data in this step.

  2. 02

    Cause lists and the data model

    We build the downtime, waste and quality cause codes with the words your own foreman uses. We design the data model for work orders, machines, shifts, batches and quality data, and set down in writing which system is the master for each piece of data.

  3. 03

    Pilot on a single line

    Before spreading across the whole factory, we install on a single line or group of machines. We test the floor screen, the terminal and any machine bridge in real production conditions, on a real shift, and simplify the screen with the operators' feedback. Pilot numbers are validated by comparing them against your existing records.

  4. 04

    Roll-out and the ERP connection

    We roll the system validated in the pilot out to the other lines step by step; we do not switch everything on at once. The ERP feedback goes live at this stage, and we check together that production movements land correctly on the accounting side.

  5. 05

    Training, maintenance and screen simplification

    We train operators, foremen and managers according to their roles. In the first weeks after go-live we stay on the floor and fix the steps that jam in real use. After that, support continues for maintenance and for new lines and new report requests.

Frequently asked questions

Can data be captured from our old machines?

It depends — we check machine by machine in discovery. If a control unit or counter emits data, we read it directly. On older machines that emit nothing, we build the same visibility through counter readings, barcodes and operator entry on a floor terminal. What matters is not whether the data comes from the machine or from a person, but that it is recorded the moment it is born, with the right cause.

Is it suitable for carpet weaving looms too?

Yes — this is one of the areas we discuss most in Gaziantep. In carpet, the tracking logic is built around loom speed, yarn breaks, downtime causes, metres produced, roll-based records and pattern-based yarn consumption. Our own field research counts 107 registered carpet companies in the OSB; this sector's tracking needs differ markedly from plastics or food, and the program is written accordingly.

What happens if the operators do not use it?

We take this risk seriously from the very start, because an unused production tracking system is the most expensive kind of software mistake. We design the screen to finish a job in two steps, with big buttons and no keyboard required. During the pilot we stand on the floor and watch where the operators get stuck. Entering data must also do something for the operator; a screen where they can see their own shift status delivers that.

If the internet or network drops, is production data lost?

No. Floor terminals are set up to hold the data locally when the connection drops and transfer it in order once the connection returns. In a factory environment a network outage is not an exception but the expected case; software that is not designed for it loses the floor's trust.

Does this system replace our ERP?

No. The ERP plans production and manages stock and cost; the production tracking layer measures how that plan actually plays out on the floor and feeds it back to the ERP. Your Logo, Mikro or Netsis backbone stays in place; your e-invoicing and account structures are not disturbed. The two systems complement each other.

Do we have to install it across the whole factory at once?

No, and we advise against it. We start with one line or one group of machines and do not move to roll-out until the numbers there reconcile with your existing records. That caps both the risk and the budget, and lets you see early whether the system genuinely works.

How long does it take and how much does it cost?

We do not quote without a discovery visit. What sets the timescale and cost is clear: how many lines, how many machines, how many floor terminals, whether there is machine integration, whether ERP feedback is wanted and how many reports are needed. After walking the floor we present a written scope and a staged budget; the pilot is priced separately from the roll-out.

Does production stop during installation?

No. Even on the pilot line, your current recording method keeps running in parallel for a while; the old method is not switched off until the two sources reconcile. Floor installations are scheduled around the shift plan, at times that will not disrupt production.

Let us watch one shift, then talk software

Let us come to your facility in Başpınar or Şehitkamil and watch a full shift from start to finish; together we will see where data is born, where it falls onto paper and where it gets lost. The resulting list makes clear which data will come from the machines and which from the operators. Starting with a single-line pilot is both cheaper and sounder than wiring up the whole factory.

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