Abstract

Operational management of global production networks is challenged by disruptions which result e.g. in order changes, quality problems and engineering changes. Their negative impact on performance may be reduced by a more intensive exchange of information between the network partners. Digitalization offers many new measures for such an increase of transparency. However, the interactions, the optimal level and the realisation of a broader information exchange define a challenging decision problem. This paper improves operational performance of production networks by applying multimethod simulation, statistical experiments and metamodeling techniques to identify a state of information exchange which is robust to disruptions.

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