A disruption management system for automotive inbound networks: concepts and challenges

Production processes in the automotive industry are highly dependent on reliable inbound logistics processes, because in lean production systems delays or mistakes often result in expensive interruptions of production processes. However, transport processes are always subject to unavoidable disturba...

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Veröffentlicht in:EURO Journal on Transportation and Logistics 2018-03, Vol.7 (1), p.25-56
Hauptverfasser: Meyer, Anne, Sejdovic, Suad, Glock, Katharina, Bender, Matthias, Kleiner, Natalja, Riemer, Dominik
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container_issue 1
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container_title EURO Journal on Transportation and Logistics
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creator Meyer, Anne
Sejdovic, Suad
Glock, Katharina
Bender, Matthias
Kleiner, Natalja
Riemer, Dominik
description Production processes in the automotive industry are highly dependent on reliable inbound logistics processes, because in lean production systems delays or mistakes often result in expensive interruptions of production processes. However, transport processes are always subject to unavoidable disturbances, delays, or mistakes. The goal of the research project ProveIT is to provide an IT system improving the transparency by monitoring transport processes in real-time: deviations from the transport plans are identified predictively, and classified dynamically as disruptions if they have negative impacts on the subsequent processes. If a disruption occurs, the operations managers are provided with mitigation actions automatically generated by escalation-based online optimization algorithms. In this contribution, we introduce the use cases, the architecture and main concepts of the ProveIT disruption management system, and report on challenges faced during field experiments with our application partners, Bosch, ZF, and Geis.
doi_str_mv 10.1007/s13676-017-0108-5
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source SpringerLink Journals; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Automobile industry
Automotive engineering
Automotive inbound networks
Business and Management
Complex event processing
Disruption
Errors
Logistics
Management Science
Online optimization
Operations Research
Operations Research/Decision Theory
Optimization
Real-time analytics
Research Paper
Transport and logistics
Transport processes
title A disruption management system for automotive inbound networks: concepts and challenges
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