Germany: GSaME – Graduate School of Excellence for advanced Manufacturing Engineering

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http://moly.gsame.eu/info/topic?cluster=E&topic=E5

Research Topic:

Integrated Real-time Business Process Management for Manufacturing and Logistics

Thesis Committee:

  • Prof. Dr. rer. pol.
    Hans-Georg Kemper
    (

    BWI

    )

  • Prof. Dr.-Ing. habil.
    Bernhard Mitschang
    (

    IPVS

    )

Cluster:

E
 – 
ICT for manufacturing

Problem to be investigated:

Companies
in the manufacturing industry operate in increasingly turbulent, global
business environments. The ability to react agile and in real-time to
unforeseen contingencies becomes imperative for sustainable success.
This holds particularly true for processes in the realm of production
and logistics, which are driven by ever shorter time frames, a steadily
increasing number of product configurations, and a tight integration
across enterprise borders. For an efficient and effective management of
the resulting complexity, a purposeful application of innovative
information technology becomes pivotal. Of special interest are
state-of-the-art Business Intelligence (BI) tools which aim at a
real-time data integration, enrichment and analysis.

Relevance of the research topic:

In
the given context companies need to be enabled to identify critical
process constellations in real time, to evaluate them under
consideration of historical data, and to derive effective measures. A
prerequisite for this is an integrated and holistic data management,
which binds together machinery-, process-, and administrative data and
presents them to decision makers in a meaningful way. Special attention
needs to be given to the interdependencies of production and logistics
on the one hand and the embedding of the "smart factory" in the value
generation context, i.e. the relation to partners in the supply chain,
on the other.

Scientific objectives:

The
research project aims at deriving an innovative concept for a Business
Intelligence (BI) system that satisfies the above discussed
requirements and is soundly designed from a business perspective. The
research focuses on gathering qualitative insight into the actual
information needs within the manufacturing domain which is gathered
with case-studies and narrative interviews with experts in the field.
Based on the critical appraisal of the results, a data and integration
model is derived and realized in form of a prototype. By utilizing
(active) data warehousing, OLAP and data mining tools, the concept
enables a data driven integration of information from enterprise
resource planning, manufacturing execution, production planning, supply
chain management, and workflow management systems.

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