Integrated approach for optimizing quality control in international manufacturing networks
Authored by Tobias Arndt, Mukesh Kumar, Gisela Lanza, Manoj Kumar Tiwari
Date Published: 2019
DOI: 10.1080/09537287.2018.1534271
Sponsors:
German Research Foundation (Deutsche Forschungsgemeinschaft, DFG)
Platforms:
AnyLogic
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
Model code not found
Abstract
This article aims at providing an integrated approach for optimizing
quality control in International Manufacturing Networks (IMN) which can
be characterized by consisting of numerous plants acting autonomously
according to an individual target system. A key challenge is to ensure
the overall process quality despite distributed value creation processes
and differing target systems in dynamic environments. Hence, the
developed approach allows for identifying potentials in the quality
control strategy using a value stream-based method to visualize quality
characteristics and procedures in the production process chain.
Furthermore, the approach contains a framework for identifying possible
improvement measures and a simulation-based evaluation concept to
evaluate the effects of different measures with respect to individual
target systems. The simulation combines elements of a discrete-event
simulation in order to depict the value stream with agent-based
modelling for realizing different target systems by considering
distinctive plant roles. The article concludes with a case study of a
globally operating automotive supplier to apply the approach. A forward
research agenda is proposed that evaluates the approach in multiple
cases, deriving patters across companies or industries.
Tags
Management
Supply chain network
information
Plant
Quality control
International manufacturing network
Plant roles
Simulation-based evaluation