The task of production data acquisition (PDA) is to record the data generated as part of the operational work process and to make it available in a way that is suitable for processing.

Computer-aided systems are used to ensure the storage and further processing of ever-increasing volumes of data and complex interrelationships. An important feature is the largely automated collection of correct and up-to-date data. This data can then be passed on to areas of an ERP,- PPS system and processed by these, for example, via a Manufacturing Execution Systems (MES) software.

PDA is considered to be the generic term for the various specialized types of data collection, which can be distinguished as follows:

• Machine Data Acquisition:
  Material consumption, manufactured parts, machine running time, maintenance data, malfunctions, personnel interventions, energy consumption, immissions.

• Process data acquisition:
  Process parameters, stock and material data, status, setting data and quality data

• Personal data acquisition:
  Personnel times, time accounts, wage costs, handling of target time violations

• Order data acquisition:
  Order start and end dates, production quantities, time sequences, order status, work progress, quality factors
• Determining root causes of failures, issues and defects in near-real time.
• Generating coupons at the point of sale based on the customer’s buying habits.
• Recalculating entire risk portfolios in minutes.
• Detecting fraudulent behavior before it affects your organization.

PDA is a necessary prerequisite for automation or digitization in the company. For example, operating data is also required in technical systems such as automatic transport systems. Additional data can be provided to the system via barcodes, RFID and sensors.

The collected data form the basis for evaluations and analyses from past data in order to derive forecasts and improvements for the future. The PDA forms the interface to ERP systems, MES and control stations as well as to business administration systems and technical application systems. In this way, PDC makes a significant contribution to creating transparency in the company, improving management and control, and reducing both errors and costs.

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Sources

• https://www.vdi.de/richtlinien/seite?tx_vdiguidelines_guidelinelist%5Bfilter%5D%5BsearchTerm%5D=4416&cHash=4982c158640691b4783d98c636b35d9a#richtlinien
• https://de.wikipedia.org/wiki/Betriebsdatenerfassung
• https://wirtschaftsinformatik-lexikon.de/wi-enzyklopaedie/lexikon/informationssysteme/Sektorspezifische-Anwendungssysteme/Manufacturing-Execution-System/Betriebsdatenerfassung/index.html/?searchterm=betriebsdatenerfassung
• https://blog.syncos.com/betriebsdatenerfassung
• Kurbel, Karl: Produktionsplanung und –steuerung im Enterprise Resource Planning and Supply Chain Management, 2005
• Schulte, C.: Logistik – Wege zur Optimierung der Supply Chain, München, 2008