Production Data Acquisition (PDA) Software, Manufacturing Execution Systems (MES)

What is production data acquisition (PDA)?

Production data acquisition is the systematic collection of data from operational processes, especially from production. The aim is to capture relevant information on orders, personnel, machines, times and production progress in a structured way and make it usable for analysis.

Typically, PDA is used to collect the following data, among others:

• Order and production data
• Start and end times of work steps
• Quantities, scrap and rework
• Setup and processing times
• Attendance or activity data of employees
• Fault and message data

The benefit of PDA lies in better oversight of the production process, more reliable documentation and well-founded analysis of actual conditions. This enables companies to analyse and optimise both operational workflows and organisational processes more effectively.

What is a Manufacturing Execution System (MES)?

A Manufacturing Execution System is a software-based system for production control and monitoring at shop-floor level. It connects planning from the ERP or production planning and control system with operational implementation in production.

MES typically performs tasks such as:

• Detailed planning and control of manufacturing orders
• Collection and feedback of production data
• Monitoring of machines, workstations and processes
• Quality control and documentation
• Traceability of material and process steps
• Analysis of key figures and production performance

An MES is therefore often the link between the commercial and operational levels. It ensures that production information does not remain isolated, but is available and evaluable along the value chain.

Advantages in day-to-day production

• Maximum transparency: Real-time insights into machines, orders and workstations make it possible to identify delays and deviations immediately.
• Optimised planning: Structured live data enable precise control of resources, shifts and deadlines, as well as seamless coordination between departments.
• Minimised downtime: Early detection of faults and scrap allows countermeasures to be initiated immediately, reducing downtime and consequential damage.
• Reliable basis for decisions: Instead of manual lists, the systems provide objective key figures for targeted optimisation of quality, personnel deployment and machine utilisation.

Digitalisation and automation

PDA, MDC and MES form the backbone of digital production. The decisive progress lies in the shift from manual to automated data acquisition directly from the system. This ensures high data quality with minimal effort. As enablers of Industry 4.0, these systems enable real-time monitoring and intelligent analyses, allowing companies to standardise their processes and significantly increase their responsiveness.

Practical examples or typical use cases

Series production

In series production, the focus is often on monitoring machine runtimes, downtimes and scrap. It is important here that production processes run stably and efficiently and that deviations are recognised quickly.

Single-item and order production

In single-item and order production, the focus is on order progress, setup times and material consumption. Software helps keep track of changing orders and individual manufacturing steps.

Mechanical and plant engineering

In mechanical and plant engineering, transparency regarding project progress, production steps and resources is particularly important. The software helps to coordinate complex manufacturing processes more effectively and implement them on schedule.

Industries with high documentation requirements

In regulated or quality-critical industries, traceable documentation and traceability are crucial. In these environments, PDA, MDC and MES solutions help to capture process data cleanly and fulfil inspection and verification obligations.

Further specific criteria and guiding questions for evaluating software functions for production data acquisition (PDA), machine data acquisition (MDC) and Manufacturing Execution Systems (MES)

• Before making a software decision, conduct a thorough market research of potentially suitable solutions. Our tip: Use our free research service without any obligation. Large parts of the tender are taken over, potential solutions are presented in a structured way and the communication with the providers is documented!
• The MES should enable extensive automation of production planning and process control.
• Look for comprehensive data collection options, including, for example, comprehensive real-time data collection as well as process data, product data, machine statistics, etc.
• Options for process control and data analysis (e.g. statistical process control, deviation and trend analyses, etc.).
• Ask about options for detailed planning, which includes, for example, capacity planning, sequencing, and, where applicable, scheduling (the allocation of time or the sequence of events, etc.).
• Stock and materials flow, asset management (condition monitoring and failure analysis, etc.).
• Traceability of processes and data volumes.
• Detailed logs for rapid diagnosis.
• Is there a way to transparently record and analyse all the data generated and required in the production environment in connection with machines, tools, orders, materials, products, processes, batches and lots?
• Modular system design for gradual expansion.
• Sufficient scalability.
• Look out for intuitive operation thanks to a modern user interface.
• Ask the manufacturer whether the system supports multiple languages.
• Optimal integration capabilities thanks to open interfaces.
• Extensive database independence through ODBC/JDBC access
• Extensive platform independence through the implementation and use of industry standards.