MAGAZINE  №6 (101) December 2020

AUTHORS VORONOVA A.P., ZAKHODYAKIN G.V.

CATEGORY Information technologies in logistics and SCM Supply chain management

 

 

ABSTRACT

 Currently businesses are adapting their business processes to the ever-changing market conditions. This involves a continuous monitoring and improvement of business processes. Process Mining is a useful approach to automated reconstruction of business process models from event logs collected from a company's information systems, and to detecting deviations from the assumed process model and monitoring of process KPIs. There is a growing trend towards implementing Process Mining tools in logistics and supply chain management. This paper presents key concepts of Process Mining. The methods are illustrated with a practical example of a logistical process analysis. We consider three main types of Process Mining. Finally, an overview of research and business cases for Process Mining in logistics and
supply chain management are provided.

 Electronic version

 Keywords:  Process mining business process process analytics BPM supply chain management digital twin

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