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Production Reporting – A guide to reports, data sources, and the benefits of automation

September 26, 2025

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Production reporting is the process of systematically recording and tracking the progress of manufacturing operations. It involves monitoring key aspects such as task completion rates, material consumption, output volumes, and quality statuses. As a cornerstone of modern production management, it provides objective data needed to verify whether operations are proceeding according to plan, on schedule, and in compliance with required standards.

Through production reports, managers gain detailed insight into shop floor performance, enabling them to assess schedule adherence, analyze efficiency, and fully leverage available production capacity.

A well-designed reporting system translates raw technical data into clear, actionable business information, forming the basis for informed decision-making.

What should a complete production report include? Why is automation in this process so critical to maintaining competitiveness? And what does advanced production reporting look like in MES-class systems, such as the Production Portal? These are the questions this article will explore.

Production Report – Definition and Scope

A production report is a formalized document that details and summarizes the key metrics measured throughout the manufacturing process. Its purpose is to provide the information necessary to maximize production efficiency, identify waste, and optimize workflows.

The formats of such reports vary widely—from simple spreadsheet tables to advanced, interactive dashboards in modern MES systems, such as the Production Portal, which make data analysis and visualization more accessible.

Production Reporting – From Manual Methods to Full Automation

The method of production reporting in a given company depends on its scale, industry, level of technological advancement, and the specifics of the processes being monitored. However, due to its cyclical nature—and the significant business benefits it delivers—production reporting is one of the areas most frequently and effectively digitized. From a technological standpoint, we can distinguish several core approaches.

Manual Production Reporting

Manual reporting relies on traditional, paper-based documentation or simple tools such as spreadsheets (e.g., Excel). Operators record key data by hand, such as the number of units produced, working hours, or raw material consumption. This method is typically used in smaller facilities or in operations with low complexity.

Partially Digitalized Reporting

This is a hybrid model in which companies use basic software or spreadsheets—for instance, to track material consumption—while production processes and shop floor progress are still recorded manually. It is a popular solution that often serves as a stepping stone toward full digitalization, blending elements of both worlds.

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Digitalized and Automated Production Reporting

The most advanced approach to production reporting is full digitalization and automation of the process, typically implemented through MES (Manufacturing Execution System) platforms. These systems integrate directly with shop floor machines and equipment, enabling not only automatic data collection but also instant analysis and seamless integration with other business processes.

MES systems rely on diverse, often combined methods of data acquisition to ensure completeness and accuracy. This model is built on three primary sources:

1. Operator Reporting – Production Terminals (HMI/MES)

Operators enter information via terminals located at workstations or directly into the MES platform. This applies especially to data that machines cannot capture on their own, such as:

The data is immediately stored in a central database, linked to the relevant order, machine, and operator, and made available in real time to all departments (planning, logistics, maintenance, and management).

Although the entry itself is manual, the output is fully digitalized—the information becomes part of an integrated ecosystem rather than a “dead” Excel file. Sometimes this approach is intentionally chosen when low process frequency makes full automation economically unjustifiable. Before investing in digitalization and automation, it is therefore advisable to conduct an audit and seek expert technology consulting.

2. IIoT Devices and PLC/SCADA Integration

The second pillar of digital reporting is data collected automatically from machines and their environment. In practice, this includes two complementary approaches:

Leveraging these data sources, the system can:

3. Traceability and Quality Control Systems

The third area covers technologies for tracking material flow and ensuring product quality:

Production Reporting – Why Full Digitalization Matters

Integrating the above methods within a single system makes it possible to achieve a consistent and reliable real-time view of production. The data requires no additional “processing,” flows instantly to all departments, and can automatically trigger subsequent processes—from order placement and schedule adjustments to the generation of quality reports.

Unlike partially digitalized models, here the information is “alive” and actively supports both operational and strategic decision-making.

Digitalization and automation of reporting significantly reduce the number of errors and virtually eliminate the time spent on manual data entry. As a result, companies gain information that is both fully reliable and always up to date—something practically unattainable in manual systems based solely on employee declarations.

What Should a Production Report Include?

The scope of information contained in a production report can vary widely depending on the specific needs of a manufacturing facility and the nature of its processes. Such a document may focus on selected parameters or provide a comprehensive dataset offering a complete picture of the production workflow.

Production Reporting – Example Data Points

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KPIs in Production Reporting

Production reports are more than just collections of data—they are essential tools for calculating key performance indicators (KPIs). The choice of which KPIs to monitor should always be driven by the company’s strategic business goals.

Examples of Production KPIs:

Statistical Process Control (SPC) and Production Reporting

Reporting systems often integrate Statistical Process Control (SPC) modules. SPC applies statistical methods to monitor and control the production process in real time.

An SPC report is the output of such a module, which analyzes whether key process parameters (e.g., dimensions, weight, temperature) remain within defined tolerance limits. Its greatest strength lies in prevention—if the system detects that indicators are approaching or exceeding thresholds, it can automatically trigger an alert or even halt production. This approach helps avoid issues before they occur, such as producing an entire batch of defective products. SPC reports are generated automatically and can be distributed via email, enabling immediate response and rapid corrective action.

How Production Report Support Business Decision-Making

The primary value of production reporting lies in transforming raw but reliable, up-to-date technical data into actionable business insights. Access to this information facilitates long-term planning and strategic decision-making, such as:

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Benefits of Automated Production Reporting

Implementing a well-designed, automated reporting system delivers numerous benefits that directly enhance the safety, competitiveness, and profitability of a manufacturing company. Key advantages include:

Production reporting is no longer just a formal requirement or stacks of paper in binders. It has become a critical tool for effective manufacturing management. At the core of successful reporting lies data that is reliable, up to date, and available in real time.

The transition from manual methods to automated data collection and analysis is now a key step toward Industry 4.0, enabling companies to transform raw data into actionable insights. Such insights drive continuous improvement, reduce costs, and empower better business decision-making.

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