Streamlining Supply Chain Processes with Digital Workflow Automation, Blockchain Integration, and Data Mining (40 hours)

INTRODUCTION
In today’s fast-paced logistics industry, companies are looking for innovative solutions to optimise supply chain processes and gain a competitive edge. SIMTech’s course on “Streamlining Supply Chain Processes with Digital Workflow Automation, Blockchain Integration, and Data Mining” is specifically designed for logistics organisations and those looking to overcome supply chain challenges.
The course spans over 10 sessions, during which managers and engineers will explore the practical applications of Digital Workflow Automation, Blockchain Integration, and Data Mining in supply chain operations through classroom learning, exercises, and real-world implementation.
Participants will begin by digitising paper forms and automating workflows to enhance supply chain processes. They will learn how Digital Workflow Automation improves order fulfilment, inventory management, and logistics coordination through examples and interactive exercises.
The course will then delve into Blockchain Integration, exploring its potential to transform supply chain transparency, security, and traceability. Participants will gain hands-on experience with Ethereum and learn to customise Blockchain Smart Contracts for product authentication and traceability.
Finally, participants will learn Data Mining techniques to extract valuable insights from supply chain data. They will use tools such as Excel, Orange, and Python to uncover patterns and opportunities for improvement.
Upon completion, participants will possess the skills to transform supply chains, leveraging digital workflow automation, blockchain integration, and data mining to enhance efficiency, traceability, and decision-making.
- Develop a comprehensive understanding of Digital Workflow Automation (DWA), integrate Blockchain using Ethereum, and utilise Data Mining techniques.
- Acquire skills to digitise paper forms and streamline business processes using DWA.
- Gain practical experience in creating customised Blockchain Smart Contracts for supply chain applications using Ethereum.
- Understand Data Mining methods such as clustering, classification, and association rules, and leverage these insights to optimise processes and identify improvement opportunities.
- Have a roadmap for further exploration and implementation.
Who should attend
The course is recommended for- supply chain and logistics managers and engineers
- managers responsible for streamlining business processes
- members of digital transformation task forces
- sales, HR, and other department heads interested in process optimisation through technology
Programme Agenda
Please refer to the brochure for details.
Contact Us
- For technical enquiries, please contact:
Mr TENG Wei Yuen,
Email: wei_yuen@ARTC.a-star.edu.sg
- For general enquiries, please contact:
Mr Alex TAY,
Email: Alex_Tay@SIMTech.a-star.edu.sg
Registration
- Please register for this course through our Course Registration Form for Public Classes.
- For the first question, please select "Modular Programmes".
- Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
- Once the next intake is confirmed to commence, SIMTech will contact the applicants to share the class information.
Schedule
Module | Skills Course Reference Number | Next Intake(s)'s Training Period
(Click on the dates to view its schedules) | Registration Status |
| TGS-2024046146 | The next intake's schedule is still in the planning stage. |
Note: SIMTech and ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.
Announcement:
- From 1 Oct 2023, attendance-taking for SkillsFuture Singapore (SSG)'s funded courses must be done digitally via the Singpass App. More information may be viewed here.




- View the full list of modular programmes offered by SIMTech and ARTC.
A*STAR celebrates International Women's Day

From groundbreaking discoveries to cutting-edge research, our researchers are empowering the next generation of female science, technology, engineering and mathematics (STEM) leaders.
Get inspired by our #WomeninSTEM