Concept of a proactive risk management in logistics networks

Abstract

Logistics business networks are growing rapidly and becoming more and more complex. Companies often do not know of what other companies they depend and which business-critical risks are consequences of these dependencies. For this reason, a concept of a proactive risk management in logistics networks is presented in this article. The concept is based on the Big Data technology and used for the identification of risks and the development of a logistics network using in addition to internal company data, external data such as social media platforms or other data portals. These data are analyzed and risky relationships are graphically displayed to the operator. In addition, the system can identify possible alternatives to the user to avoid these risks and thus be used for decision support.