International Conference on Industrial Engineering and Blockchain Solutions (ICIEB - 26)

This track focuses on the latest methodologies in predictive modeling tailored for industrial engineering. Contributions may explore the integration of blockchain technology to enhance the accuracy and reliability of predictive analytics.

This session invites papers that investigate the applications of supervised and unsupervised learning techniques within industrial contexts. Emphasis will be placed on how blockchain can facilitate data integrity and model training.

This track aims to explore the application of deep learning algorithms for detecting anomalies in industrial processes. The integration of blockchain solutions for secure data handling and model validation will be a key focus.

This session will discuss innovative approaches to feature extraction and its role in automating workflows in smart manufacturing environments. The potential of blockchain to streamline data sharing and enhance process efficiency will be examined.

This track highlights the importance of system monitoring and predictive maintenance in industrial settings. Papers should address how blockchain can support real-time data integrity and facilitate maintenance decision-making.

This session invites discussions on the various model evaluation techniques applicable to blockchain-enabled industrial solutions. The focus will be on ensuring robustness and reliability in predictive models used in engineering.

This track explores the convergence of Industrial Internet of Things (IIoT) and blockchain technologies to optimize performance in industrial settings. Contributions should highlight case studies or frameworks that demonstrate this integration.

This session will cover methodologies for process optimization that leverage blockchain for efficient resource allocation. The role of data transparency and traceability in enhancing operational efficiency will be discussed.

This track focuses on developing risk assessment frameworks that incorporate blockchain technology to improve accuracy and accountability. Papers should address the implications of these frameworks in industrial engineering contexts.

This session will examine the advancements in asset tracking facilitated by blockchain solutions in industrial environments. The discussion will include the impact of enhanced traceability on supply chain management.

This track invites papers that explore the application of smart contracts in process simulation within industrial engineering. The focus will be on how these technologies can streamline operations and enhance contract enforcement.