How to Set Up Production Record-Keeping in 10 Minutes Using a Log Sheet System
In manufacturing operations — especially discrete manufacturing, which is a multi-stage process involving several different departments — information about production balances, defect volumes, and output quantities is often not tracked systematically. This creates difficulties in record-keeping and in obtaining reliable information about the production process as a whole.Digital platforms such as logsheet.ai exist specifically to close this gap.
To eliminate the record-keeping chaos that disrupts a company's operations and prevents effective management decisions, raw material and finished goods movements need to be logged at a set frequency. Let's look at how this can be done using digital platforms.
Why Production Record-Keeping Matters
Production record-keeping is the foundation for any decision-making at a company, and here's why:
- It gives management a complete picture of production without requiring their physical presence on the shop floor.
- It provides the source data for company-wide planning (real output, consumption, and time norms are built from the data being recorded).
- It eliminates the gap between actual figures and the figures reported to management.
- It makes it possible to pinpoint at which stage defects occur, prevent them going forward, and hold the responsible party accountable for the associated costs. Otherwise, defect losses have to be recorded as ordinary operating expenses.
- It surfaces problems and pins down downtime at every stage of production, giving a full picture of the process.
- It ensures compliance with ISO and customer requirements by providing documented, verifiable data.
- Ultimately, it affects costs and makes it possible to understand the true cost of production.
On top of that, capturing historical figures opens up future possibilities such as building a digital twin of the production process and enabling predictive maintenance.
When You Need Full-Cycle Record-Keeping
In practice, companies most often use full-featured MES systems (Manufacturing Execution Systems) to track the entire technological process.
Popular MES systems:
- ZIIoT (Tsifra) — integrates with ERP systems and collects data from equipment: actual operation results, equipment downtime parameters, and process parameters. The resulting database is then used for in-depth production analytics.
- Golfstream (Ascon) — provides operational management and control at the shop-floor level: complex assembly lines, part traceability, and quality control at every stage.
- 1C:MES Manufacturing Execution — receives production orders from ERP systems, distributes them across shifts, operators, and equipment, records all actual data, and feeds it back into the ERP for accounting.
However, these systems share the following characteristics:
- High cost, reaching several hundred million rubles;
- Lengthy implementation, which can take months in the best case, and even years;
- Only justified for large enterprises with roughly 10,000+ employees, enormous production capacity, and highly variable operations;
- Processing the resulting information requires a new data-handling methodology.
Such systems are not designed for relatively small enterprises or for tracking secondary processes, where full automation and data collection are not economically justified.
When a Lightweight Option Is Needed
A simpler option that doesn't require major financial investment is production record-keeping through a system of log sheets.
How the log sheet system works:
- Create a flexible table.
- Define the process (quality control, equipment transfer between workshops, etc.).
- Set the metrics to be recorded (deadlines, quantities, units of measurement, etc.).
- Assign the people responsible for maintaining it.
- Set the fill-in frequency.
From there, the system will prompt users on what needs to be filled in and when. Data can be entered into the table from a mobile phone or tablet right on the shop floor.
Based on the information collected, reports are generated showing all the configured processes. Reports can be generated at the end of a shift/period or in real time. A single dashboard can show information from multiple logs. Reports are configured through a visual builder, where you select the relevant logs and checklists and set the reporting period.
Example: A Plastic Container Factory
Input data: plastic container manufacturers need to keep up-to-date logs of raw materials, finished goods, and inspection results.
Solution in the log sheet app:
- A raw material log is created:
| Date/Time | Material | Supplier | Received, kg | Issued, kg | Balance, kg | Responsible |
|---|---|---|---|---|---|---|
| Jul 1, 2026 09:15 | HDPE (pellets) | PolymerTrade LLC | 1000 | 0 | 1000 | I. Ivanov |
| Jul 1, 2026 10:30 | HDPE (pellets) | PolymerTrade LLC | 0 | 200 | 800 | P. Petrov |
| Jul 2, 2026 11:45 | Colorant (blue) | ChemReaktiv JSC | 50 | 0 | 50 | S. Sidorov |
Example of use: when a warehouse worker receives a batch of HDPE pellets, they log the quantity and the system recalculates the balance. When material is issued to the shop floor, the employee logs the amount used. This way, the log always shows an up-to-date picture of inventory.
- A finished goods log is created:
| Date & Shift | Line No. | Product | Plan / shift, pcs | Actual, pcs | Runtime, h | Operator |
|---|---|---|---|---|---|---|
| Jul 1, 2026 / Shift 1 | 1 | Bottle 0.5 L | 5000 | 4850 | 7.5 | A. Smirnov |
| Jul 1, 2026 / Shift 1 | 2 | Bottle 1.0 L | 4000 | 4100 | 8.0 | V. Kuznetsov |
| Jul 2, 2026 / Shift 2 | 1 | Bottle 0.5 L | 5000 | 5020 | 7.8 | M. Orlova |
The log shows plan fulfillment for each line and lets you compare actual figures against the raw material log.
- A quality control checklist is created
| Inspection Step | Answer Options | Note |
|---|---|---|
| 1. Visual appearance | Conforms / Does not conform | Photo of defect |
| 2. Dimensions (height, diameter) | Within spec / Deviation | Enter value |
| 3. Seal integrity | Intact / Defective | |
| 4. Unit weight, g | (enter value) | |
| 5. Color (vs. reference) | Conforms / Does not conform | |
| Overall verdict | Batch accepted / Rejected / Partial reject |
Result:
 |
| Raw Material Log — receipts, issues and stock balance recalculated automatically |
 |
| Finished Goods Log — plan vs. actual by line and shift |
 |
| Quality Control Checklist for a batch |
 |
| Summary Report: raw materials vs. output and defect rate |
Reporting: based on the completed tables and checklist, management receives a report showing, for example, how much raw material went into how many bottles, as well as the defect rate. The system automatically pulls in planned figures and calculates variances.
Log sheets and checklists in log-management software make it possible to implement documentation such as:
- a general construction log;
- an operations log;
- an equipment log;
- a maintenance log;
- a temperature log;
- a safety log;
- an incident log;
- and much more.
They don't require major financial investment and create a transparent system with no unnecessary overhead — comparable in effectiveness to powerful systems within the scope of specific processes. All that's needed is a one-time setup of the logs and training staff to enter data into them.
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