A Framework Supporting Supply Chain Complexity and Confidentiality Using Process Mining and Auto Identification Technology

Abstract

Supply chain is a network between a company and its suppliers to produce and distribute a product to the final customer. This network includes different activities, people, entities, etc. The interaction between these elements provides a cross-organization Business Process. It has mainly treated with process mining techniques, to handle the resulted process instances as event logs. These events are obtained by implementing the auto identification technology within the supply chain related to materials or personal. By doing so, the provided events are not simply presented, they emerged more challenges like complexity and data confidentiality. Therefore, in this work we develop a descriptive framework, based on a literature study, to answer supply chain challenges related to the process mining field. This is done, by implementing process mining within the supply chain, using auto identification technology and taking into consideration recent challenges related to cross-organization Business Process.