# How to Choose Production Tracking Software: Seven Criteria, a Comparison Table and Questions for the Demo

> How to choose production tracking software: seven criteria covering work orders, OEE, downtime, data capture, ERP integration and a pilot, plus a table.

Source: https://digitalbridge.com.tr/en/blog/production-tracking-software-selection.html
Publisher: Digital Bridge Teknoloji (https://digitalbridge.com.tr)
Topic: Industry 4.0
Published: 2026-10-30 · Updated: 2026-10-30

When choosing production tracking software, start with how data will be captured on the shop floor, not with the feature list or the dashboards. Good software records work orders, machine status, downtime and scrap reasons as they happen, talks to your ERP in both directions and proves itself on a small pilot line first. Seven criteria decide the choice: data capture, work order structure, OEE, traceability, integration, usability and total cost.

## Key takeaways

- The value of production tracking software lies in capturing data on the shop floor, at the moment it happens and from the right source, not in its screens.
- Siemens' 2024 report finds that large manufacturing plants still lose an average of 27 hours a month to unplanned downtime; software that does not record downtime reasons leaves that loss invisible.
- Seven criteria matter most: data capture, work order structure, OEE, traceability, ERP integration, operator usability and total cost of ownership.
- A pilot run on your own work orders tests a supplier's promises far better than a polished demo.
- You do not need to replace your ERP: a well-designed MES adds what actually happened on the floor to what the ERP planned.

## What does it cost to track production on paper and spreadsheets?

In many factories, production data comes from end-of-shift forms that are typed into a spreadsheet the next morning. By the time a report reaches management, the moment to fix the problem has passed. We look at why spreadsheets eventually stop coping in [outgrowing spreadsheets](https://digitalbridge.com.tr/en/blog/outgrowing-spreadsheets.html).

Downtime is the most visible loss. According to [Siemens' The True Cost of Downtime 2024](https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf), large plants average 25 unplanned downtime incidents a month and lose 27 hours of production to them. The same report puts the cost of a lost hour at $36,000 even in fast-moving consumer goods plants, the cheapest sector it measured. If nobody records why a machine stopped, it often goes unnoticed that the same fault comes back every month.

Plenty of businesses have not yet digitised even the planning side. [TurkStat's 2025 ICT Usage Survey in Enterprises](https://veriportali.tuik.gov.tr/tr/press/54012) found that only 23.6% of Turkish enterprises with 10-49 employees used ERP software, against 76.5% of those with 250 or more. The figure covers all sectors, but the picture is clear: in most small businesses even order and planning data sits in spreadsheets and on paper rather than in a shared system.

## What should production tracking software actually track?

"Production tracking software" is a loose label. Some suppliers use it for a simple work order list; others for a full [MES](https://digitalbridge.com.tr/en/glossary.html#mes). List the questions the software must answer before you speak to anyone; our guide to [MES vs ERP](https://digitalbridge.com.tr/en/blog/mes-vs-erp.html) explains where one system ends and the other begins.

The table below sets out the core modules and the question each one answers on the floor.

| Module | Question it answers | What happens without it |
|---|---|---|
| Work order tracking | Which order is on which machine, and how much is done? | Delivery questions are answered by phone and guesswork |
| Machine status and downtime reasons | Why did the machine stop, and for how long? | The same breakdown repeats and nobody knows why |
| OEE | Where are availability, performance and quality being lost? | Improvement priorities are set by gut feeling |
| Scrap and quality records | Which order produced scrap, and for what reason? | The cost of scrap only shows up at month end |
| Batch traceability | Which products did this raw material batch go into? | In a recall, all stock is treated as suspect |
| Shift and operator data | Which shift and which operator made it? | Performance comparisons and training needs stay vague |
| Reporting and ERP transfer | When did actual output reach the ERP? | The same data is keyed in twice by hand |

Not every plant needs every module on day one, but the data model must be able to take them on later; otherwise you will be replacing the system again as your needs grow.

## Off-the-shelf package, ERP module or bespoke MES?

There are three broad options. Off-the-shelf packages start quickly but bend your work orders to their template; an ERP production module suits the plan but is weak on the floor. A bespoke MES fits how your line really runs, at the cost of more time on requirements.

| Criterion | Off-the-shelf package | ERP production module | Bespoke MES |
|---|---|---|---|
| Time to go live | Fast | Moderate | Phased, depends on scope |
| Fit with the shop floor | As far as the template allows | Plan-centric, weak on the floor | Built around your line |
| Machine and PLC connectivity | Limited or an add-on | Usually none | Part of the project |
| ERP connection | Easy if a ready connector exists | Native | Built for your existing ERP |
| Flexibility to change | Depends on the vendor's roadmap | Needs ERP changes | Shaped by your own needs |

Cloud deployment raises the question of what happens on the floor when the internet drops; on-premise leaves servers and maintenance with you. We compare the two in [SaaS vs on-premise](https://digitalbridge.com.tr/en/blog/saas-vs-on-premise.html).

## Which seven criteria should guide the choice?

Take this list into supplier meetings so you run the demo, not the other way round.

1. **Data capture:** Does data come from operator terminals, barcode scans or straight from the machine via a [PLC](https://digitalbridge.com.tr/en/glossary.html#plc) or sensor? The less manual entry, the more you can trust the numbers.
2. **Work order structure:** Can the software carry your routings, operations and bills of materials as they are? We cover the logic in [work order tracking in production](https://digitalbridge.com.tr/en/blog/work-order-tracking-production.html).
3. **OEE and downtime analysis:** Is OEE calculated in real time, and are downtime reasons held in your own categories? See [how to calculate OEE](https://digitalbridge.com.tr/en/blog/how-to-calculate-oee.html) for the arithmetic.
4. **Traceability:** Can you trace forwards and backwards, from raw material batch to finished product and customer, in a single query?
5. **ERP integration:** Do work orders arrive from the ERP automatically, and do actual output and scrap flow back without anyone retyping them? A one-way export does not remove double entry.
6. **Operator usability:** Can an operator in gloves, on a noisy floor, pick the right downtime reason in three taps or fewer?
7. **Total cost of ownership:** Beyond licences, have you counted hardware, integration, training, support and change requests? Our breakdown of [MES software cost factors](https://digitalbridge.com.tr/en/blog/mes-software-cost-factors.html) lists them.

Weighting varies by sector: batch and colour tracking in textiles, moulds and cycle times in injection moulding, parts and packages in furniture. See [injection moulding production monitoring](https://digitalbridge.com.tr/en/blog/injection-molding-production-monitoring.html) and [furniture manufacturing software](https://digitalbridge.com.tr/en/blog/furniture-manufacturing-software.html).

## How should data be collected on the shop floor?

Software is only as good as its data. A downtime record typed from memory at shift end is no better than the paper form it replaced, so data must be captured when the event happens.

In practice, three methods work together. Machine running state and part counts are read automatically from the PLC or a counter. Reasons that need human judgement, such as why a machine stopped or why a part was scrapped, are chosen on an operator terminal. Matching materials, batches and work orders is done with barcode scans, which is the backbone of [production traceability](https://digitalbridge.com.tr/en/blog/production-traceability-guide.html).

The commonest mistake is copying the paper form onto a screen; show operators only the two or three choices that matter. We set out the steps in [paperless manufacturing](https://digitalbridge.com.tr/en/blog/paperless-manufacturing.html).

## What should you ask during demos and proposals?

A demo is the supplier's best case, so take your questions from your own line:

- Can you enter one of our work orders, with our downtime reasons, and show us the shift report?
- What do the floor terminals do if the internet or server connection drops, and is any data lost?
- Is the ERP integration an existing connector or something you will build for this project? Have you worked with our ERP before?
- How long does adding a new downtime reason or report take?
- Who owns the data, and in what format do we get it back if the contract ends?

Compare proposals on scope, not just price: one may include machine connectivity, another only manual entry.

## How do you prove the decision with a pilot?

Rather than switching the whole factory at once, pilot on one line or a few critical machines. Write down what you will measure before you start: how many downtime reasons were captured, how long the shift report took, and whether the ERP transfer needed manual fixes.

A pilot's success is not down to software alone. Operators need to understand why they are logging data, supervisors need to use the reports, and the list of downtime reasons has to match reality on the floor. Our [MES implementation checklist](https://digitalbridge.com.tr/en/blog/mes-implementation-checklist.html) is a good place to prepare.

## How does Digital Bridge help with production tracking?

Digital Bridge does not sell production tracking as a boxed product. We build [MES software](https://digitalbridge.com.tr/en/industry-40/mes-production-management.html) around your line's work order structure, downtime reasons and reports. Data is collected from machines, barcode readers and operator terminals as production happens, bringing work orders, live OEE, downtime and scrap tracking and shift reports together on one screen.

You do not need to replace your ERP. Our MES integrates with Logo, SAP, Mikro or a bespoke ERP, and runs on its own if you have none. If you need batch and raw material tracking as well, our [production traceability and barcode](https://digitalbridge.com.tr/en/industry-40/production-traceability-barcode.html) solution shares the same data flow.

Every project starts with a visit to your line. The site assessment for Industry 4.0 projects is free of charge; scope, phases and price are then set out in a written proposal. You can see our other solutions on the [Industry 4.0 page](https://digitalbridge.com.tr/en/industry-40.html).

## What is the next step?

For one week, note every stoppage on a single line, with its reason and duration. That short list will show you which module to start with and which line to pilot. More guides on the subject are collected on our [Industry 4.0 topic page](https://digitalbridge.com.tr/en/blog/topic/endustri-40.html).

If you would like to review your line with us, get in touch through our [contact page](https://digitalbridge.com.tr/en/contact.html) or call 0850 346 41 09 (+90 850 346 41 09 from outside Türkiye). After the site assessment, we will send a written proposal covering which data is collected from where and how it connects to your ERP.

## Frequently Asked Questions

### Is production tracking software the same as an MES?

Often they describe the same need, but the scope can differ. Some suppliers sell a simple work order list as production tracking software. An MES covers work orders, machine status, downtime and scrap reasons, OEE, traceability and ERP transfer together. When comparing options, look past the label at how each system actually captures data from the shop floor.

### Does a small workshop need production tracking software?

In a workshop with a few machines and a narrow product range, a well-organised spreadsheet can work for a while. It stops coping once order volumes grow, delivery questions become frequent or the same stoppages keep recurring. At that point, even a simple work order and downtime tracker on a single line lets you answer delivery and downtime questions with data rather than guesswork.

### Can production tracking software replace an ERP?

No. The ERP manages orders, stock, costing and accounts; production tracking software shows how the plan is carried out on the floor. The two complement each other. Ideally work orders come from the ERP, while actual output, scrap and time data flow back automatically, so nothing is keyed in twice and costing reflects what really happened.

### Can data be collected from older machines?

Usually, yes. Machines with a PLC can report running state and part counts directly. Older machines without one can be fitted with counters, current sensors or motion sensors to detect running and stopped states. Information that needs human judgement, such as the reason for a stoppage, is chosen on an operator terminal. The right method is decided machine by machine during a site visit.

### How long does it take to implement production tracking software?

It depends on the number of lines, how much machine connectivity is involved and the ERP integration. That is why piloting on one line or a few critical machines before rolling out is the safer route. A pilot tests both the technical set-up and how operators take to the system. A firm timeline is set out phase by phase in the written proposal.

### How do you get operators to adopt a new system?

Keep the screen as simple as the job. Operators should see only the two or three choices that matter at that moment, with downtime reasons written in the language used on the floor. Drawing up the reason list with supervisors before go-live speeds up adoption, and seeing the data used in the next morning's meeting gives operators a reason to log it properly.