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Enhanced Classification of Events for Manufacturing Companies in Supply Networks

 
: Bauer, Dennis; Bauernhansl, Thomas; Sauer, Alexander

:
Postprint urn:nbn:de:0011-n-5522100 (840 KByte PDF)
MD5 Fingerprint: 73935914841d0246ec6696eea9513f37
Created on: 19.7.2019


Procedia CIRP 81 (2019), pp.87-92
ISSN: 2212-8271
Conference on Manufacturing Systems (CMS) <52, 2019, Ljubljana>
English
Conference Paper, Journal Article, Electronic Publication
Fraunhofer IPA ()
Adaptive Steuerung; Automatisierung; Dezentrale Fertigung; Klassifizierung; Production Planning and Control (PPC); Zuliefernetzwerk; Supply chain management SCM; Ereignis

Abstract
Uncertainties in the supply network are often challenging for manufacturing companies. They arise from dynamic effects due to events linked to external supply networks as well as internal manufacturing. To deal with this issue, the present work offers an approach that classifies these events aiming to break down the complexity associated with the latter. By assigning appropriate countermeasures in production planning and control, manufacturing companies will be able to react more systematically to external volatile events. The novel classification approach has been successfully evaluated with a leading semiconductor manufacturer.

: http://publica.fraunhofer.de/documents/N-552210.html