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Proactive Demand and Capacity Management for Automotive Logistics Using an Efficient Information Model

Fast facts

  • Internal authorship

  • Further publishers

    Lisanne Temur, Daniel Fruhner

  • Publishment

    • 2019
    • Volume The 31st European Modeling and Simulation Symposium
  • Title of the conference proceedings

    The 31st European Modeling and Simulation Symposium

  • Organizational unit

  • Subjects

    • Logistics
  • Publication format

    Conference paper

Content

The increasing technical complexity of cars and the high
number of offered options lead to new challenges in the
automotive industry and especially the mid-term demand
and capacity management (DCM). This requires a
procedural adaptation based upon an efficient
information model. In this contribution, the state of the
art is analyzed for both the DCM process and the
underlying information models. Promising concepts for
managing the steadily increasing requirements in DCM
are deduced, and a modular process kit for the
procedural adaptation combined into the concept
SmartDCM is introduced. Furthermore, a new approach
of an efficient information model for managing the
increasingly complex information is presented.

Notes and references

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