Grafik veri tabanına göre lojistikte materyal akışı

Transport management and network design strategies have a huge and significant impact on decision making process of global manufacturers due to their intensive logistics activities. In this study, one of the biggest producers of industrial and automotive products will be examined regarding its material flow in worldwide outbound shipments. The aim of the study is increasing transparency, visualize worldwide outbound transports, understanding and monitoring material flow and with including performance quality of international forwarders based on graph data to find better optimization solutions for future logistics network analysis. On this way, integrated common data platform will be created and one of the problems will be solved in logistics network design department. A modern approach will be defined with graph database and big data management will be analyzed and observed in structured logistics' outbound data. Methodology is modelling relational database from SAP and ensuring data migration to graph database to provide pellucidity on outbound shipments for one-year logistics' data. Data is modelled with an Entity Relationship Diagram and collected by using SAP (EP1) and Microsoft Structured Query Language (MSQL) Server in relational database.