Humboldt-Universität zu Berlin - School of Business and Economics

IT Processes in Manufacturing


Lenka Ivantysynova
Holger Ziekow
Oliver Günther


SAP Research Dresden


Jun 2005 - Dec 2008


In the first part of this project we investigated application scenarios and technological requirements for RFID based data acquisition in manufacturing. We found that more and more data is collected and processed on all IT system levels. One reason is the increasing use of RFID and sensor technology on the shop floor. In order to be able to evaluate how to adopt RFID into the IT processes in manufacturing we need an in-depth analysis of the state-of-the-art in manufacturing operations management. Therefore in the second part of the project we focus on an analysis of production data collection and processing with the manufacturing IT systems. Standard manufacturing systems implement a three layer architecture based on the enterprise resource planning (ERP) layer (for order planning), the manufacturing execution system (MES) layer (for factory control), and the shop floor layer (for monitoring, machine control and production data acquisition), Fig. 1. Requirements on flexibility and adaptability are a strong driver for more open architectures, based on a much closer integration of ERP and MES systems with the shop floor layer. This is especially the case when data has to be decentralized and stored on RFID tags. A tighter integration of production data acquisition (PDA) into the ERP enables to support fast reactions to critical situations and production planning with increased flexibility.

Figure 1: Simplyfied, pyramid architecture of data processing.

For a closer integration of ERP, MES and shop floor software, it is crucial to analyse production data acquisition technologies (like RFID). Manufacturing enterprises continuously collect, store, and analyse production data such as data about the quality of the products and process or material consumption data. The PDA must especially be analysed in conjunction with

  • (i) its corresponding application scenarios,
  • (ii) the value which is generated from the acquired data, and
  • (iii) technical requirements regarding distribution of data and logic throughout the IT-Infrastructure.

These points directly impact which technologies for processing, storing and exchanging shop floor data are applied. With regards to the architecture, centralized data management in a master database vs. decentralized data management must be evaluated along with the impact on related business models.

First Part July 2005 till July 2007
RFID and sensor data in manufacturing: Mechanisms and standards for data capturing, data management, and ERP integration. In cooperation with the MPDV Microlab GmbH we have conducted six case studies from industry. In the case studies we have analysed possible use cases of RFID technology and whether the use of RFID in production can bring competive advantages. The case studies and their evaluation will be published in the book "RFID in Manufacturing" by Springer in 2008.

Second Part July 2007 till December 2008
Production Data Collection The aim of the second part of this project is to provide an in-depth analysis of the state of the art in manufacturing operations management. Future demands in manufacturing lead to the need of more data collection and processing on all IT system levels. The main reason is the increasing use of RFID and sensor technology; as evaluated in part one of this project. For optimal processing of collected production data we need a tighter integration of the different manufacturing IT system (ERP, MES, PDA, SCADA, PLC). In this part of the project we analyze the state of the art in manufacturing production data acquisition and we identify manufacturers' current problems and demands with PDA. The analyzis is conducted with the help of several case studies.


Selected Publications


  • Lenka Ivantysynova, Michael Klafft, Holger Ziekow, Oliver Günther, and Sekin Kara (2009, July) RFID in Manufacturing: the Investment Decision, In Proceedings of the PACIS - Pacific Asia Conference on Information Systems, India.
  • Oliver Günther, Lenka Ivantysynova, Jochen Rode, and Holger Ziekow (2009, August) IT infarstructures in manufacturing: insights from seven case studies, In Proceedings of the AMCIS - american conference on Information Systems , San Franciso, USA.
  • Lenka Ivantysynova (2008, November) RFID in Manufacturing: Mapping the shop floor to IT-enabled business processes , PhD Thesis.
  • Lenka Ivantysynova and Holger Ziekow (2008, June) Design Guidlines for RFID-Based Applications in Manufacturing, In Proceedings of the ECIS - European conference on informations systems, Galway, Irland.
  • Lenka Ivantysynova and Holger Ziekow, RFID in der Produktion: Eine Fallstudie aus der Airbagindustrie, GI Workshop RFID-Einsatz in kleinen und mittelständischen Unternehmen, 2007.
  • Oliver Günther, Wolfhard Kletti and Uwe Kubach, RFID in Manufacturing, by Springer, 2008.
  • Oliver Günther, Lenka Ivantysynova, Maximilian Teltzrow and Holger Ziekow, Kooperation in RFID-gestützten Wertschöpfungsnetzen, Industrie Management, 3/2006.


Lenka Ivantysynova
Humboldt-Universität zu Berlin
Wirtschaftswissenschaftliche Fakultät
Institut für Wirtschaftsinformatik
Spandauer Straße 1
D-10178 Berlin, Germany

Phone: +49 30 2093-5730
Fax: +49 30 2093-5741