Collaborative Industrial Project (CIP):
Smart Supply Chain Process Management and Innovation with Digital Workflow Automation, Blockchain Integration, and Data Mining
INTRODUCTION
In today’s fast-paced logistics industry, companies strive for innovative solutions to optimize supply chain processes and gain a competitive edge. SIMTech’s “Smart Supply Chain Process Management & Innovation with Digital Workflow Automation, Blockchain Integration and Data Mining” course is designed for logistics organisations and those tackling supply chain challenges.
During the 6-month course (with 10 training sessions), managers and engineers will explore the concepts and practical applications of digital workflow automation, blockchain integration, and data mining in supply chain operations. This comprehensive course combines classroom learning, exercises, and real-world implementation.
Participants begin by digitizing paper forms and automating manual workflows, enhancing supply chain processes. They will discover how digital workflow automation streamlines order fulfilment, inventory management, and logistics coordination through examples and interactive exercises.
The course then focuses on blockchain integration, exploring its potential to transform supply chain transparency, security, and traceability. Participants gain hands-on experience with Ethereum, a leading blockchain platform, and learn to customise smart contracts for supply chain challenges like product authentication and traceability.
Lastly, participants learn data mining techniques to extract valuable insights from supply chain data. They gain practical experience with tools like Excel, Orange, and Python to uncover patterns and opportunities for process improvement.
Upon completion, participants will possess the knowledge, skills, and tools to drive supply chain transformation. They will leverage on digital workflow automation, blockchain integration, and data mining to enhance supply chain efficiency, traceability, and decision-making capabilities.
UPON COMPLETION OF THE COURSE, PARTICIPANTS WILL
- Gain a comprehensive understanding of digital workflow automation (DWA), blockchain integration using Ethereum, and data mining techniques
- Acquire the knowledge and skills to digitize paper forms, automate workflows, and streamline business processes within their organisations using DWA
- Gain practical experience in creating customized blockchain smart contracts for supply chain applications using Solidity
- Learn to develop cross-platform mobile apps using Flutter for interaction with blockchain systems.
- Understand data mining methods such as clustering, classification, and association rules for informed decision-making
- Be able to leverage data mining outputs to extract valuable insights, optimize processes, and identify opportunities for continuous improvement
- Have a roadmap for further exploration and implementation of DWA, blockchain integration, and data mining in their organisations
Who should attend
- Supply chain and logistics managers and engineers
- Managers and engineers responsible for business process streamlining, workflow automation, and digitizing paper forms
- Members of digital transformation task forces exploring blockchain and decentralized applications
- Data analysts and decision-makers utilizing data mining techniques
- Sales, HR, and other managers interested in supply chain optimisation through technology integration
Sessions Information
Please refer to the brochure for details.
About the trainers
Other Information
Contact Us
- For technical enquiries, please contact:
Mr TENG Wei Yuen,
Section Manager,
Email: wyteng@SIMTech.a-star.edu.sg
- For general enquiries, please contact:
Mr Alex TAY,
Industry Development Manager
Email: Alex_Tay@SIMTech.a-star.edu.sg
Registration
- This online registration form is only applicable for the Collaborative Industrial Project (CIP) Programmes.
Schedule
CIP Course Title | Next Intake(s)'s Training Period
(Click on the dates to view its schedules) | Registration Status |
CIP:
| The next intake's schedule is still in the planning stage. |
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