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Benefits of an Integrated Hierarchical Data Structure for Automotive Demand and Capacity Management

Authors:
Konrad Pawlikowski
Daniel Fruhner
Katja Klingebiel
Michael Toth
Axel Wagenitz

Keywords: product structure; automotive production; demand and capacity management; optimization; complexity

Abstract:
The demand and capacity management (DCM) is an essential component of the automotive supply chain management. DCM synchronizes resource requirements with capacities and restrictions of the supply chain and production system. Those requirements result from future or already realized market demands. One major challenge of the DCM is the uncertainty and volatility of the market demands. Other challenges are product variety and supply chain complexity. Here, efficient data management increases transparency and can support the DCM processes effectively. In this context, this contribution analyses the benefits of an integration of distributed product data into a hierarchical tree structure against the background of complexity reduction. The results of this study prove that a hierarchical integrated information model provides an optimized basis for a scenario-based DCM planning process. Data from a German automotive manufacturer served as basis for this evaluation.

Pages: 20 to 25

Copyright: Copyright (c) IARIA, 2016

Publication date: November 13, 2016

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-513-5

Location: Barcelona, Spain

Dates: from November 13, 2016 to November 17, 2016