Thesis supervisor: László Buics
Location of studies (in Hungarian): Széchenyi István University Abbreviation of location of studies: SZE
Description of the research topic:
This research topic explores the critical role that data management plays in enhancing the efficiency and effectiveness of supply chain management. It delves into how the collection, storage, processing, and analysis of data can improve decision-making, streamline operations, and enhance collaboration among stakeholders within the supply chain. The research aims to investigate various data management technologies and methodologies, such as big data analytics, cloud computing, and blockchain, and their impact on supply chain visibility, risk management, demand forecasting, inventory control, and overall performance. By examining case studies and current industry practices, the research seeks to provide insights into best practices and future trends in leveraging data for optimizing supply chain operations.
Required language skills: angol Number of students who can be accepted: 1
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