Towards smart logistics processes: a predictive monitoring and proactive adaptation approach

Abstract

Logistics processes are generally automated, agreed-upon, long running propositions between multiple partners, that are specified over Service Level Agreements as constraints to be maintained. However, these constraints can be violated at any time due to various unforeseen events that may stem from the process evolving context. In this paper, we present a framework along with a demonstration software that correlates critical business operations together with contextual events in order to predict possible violations prior to their occurrences while proactively generating mitigation countermeasures.