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2019
Journal Article
Titel
Enhanced Classification of Events for Manufacturing Companies in Supply Networks
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.