Collaborative Industrial Project (CIP):

Smart Urban Logistics Planning and Tracking for Technology and Operation Innovation

Smart Urban Logistics Planning and Tracking for Technology and Operation Innovation


Companies often encounter several common logistics challenges that can hamper their operations and lead to increased costs. These challenges include a lack of visibility throughout the entire inventory and delivery process, reliance on manual operations that can result in error-prone data capture, and suboptimal logistic planning that leads to low vehicle utilization. These issues exert significant pressure on companies in terms of profitability and workforce management. In order to address these challenges, companies are actively seeking a unified and flexible solution that can streamline their logistics processes and effectively resolve these issues.

Effective logistics planning and tracking play a vital role in the success and profitability of companies. By leveraging advanced logistics planning and tracking technology, companies can unlock numerous benefits, including cost reduction, improved customer satisfaction, enhanced operational efficiency, optimised inventory management, and a competitive advantage in the market.

This course aims to provide companies with a comprehensive understanding of the key concepts, knowledge, and technologies pertaining to logistic planning and tracking. It encompasses in-depth discussions on various aspects, including inventory management and tracking, delivery operations, and route and allocation optimization. Additionally, the course incorporates practical applications, case studies, and hands-on exercises to reinforce learning.

In addition to classroom training sessions, the course also offers valuable onsite training session. During the session, participants have the opportunity to identify pain points and gaps within their own companies’ daily operations. Through the collaborative discussion, possible solutions are explored and discussed, ultimately leading to the development of a proposal for a follow-up action plan.

Our ultimate goal for this course is to inspire and drive improvement, innovation, and digitalisation within companies’ logistics operations and processes in Singapore. By equipping participants with the necessary knowledge and tools, we strive to empower companies to optimise their logistics practices and embrace the advancements of the digital era.


  • Understand the concept and knowledge of logistics
  • Understand enabling technologies
  • Understand Auto-ID technology and its application in logistics
  • Understand how to improve inventory management and operations
  • Understand how to improve delivery operations and planning
  • Experience system hands-on with on-site session(s) to identify gaps and possible solution

Who should attend

  • CEOs, CTOs, Vice Presidents, Directors, and General Managers who are looking to grow or improve their logistics
  • Senior Managers, Managers, Engineers and Technicians who are in:
  • Logistics Planning
  • Warehouse and Inventory Management
  • Delivery Management
  • Marketing and Sales
  • Technology Planning

Sessions Information

Please refer to the brochure for details.

About the trainers

Mr He Wei

Mr He Wei is a Senior Principal Research Engineer with A*STAR SIMTech and the Principal Technical Lead for the Supply Chain Track & Trace initiative. His research interests include Supply Chain Track & Trace (based on EPCglobal RFID and GPS), Logistics planning and tacking, RFID data/information management, RFID security and PDM/PLM/ERP. He spearheaded an industry-wide effort on helping more than 500 companies to improve productivity by developing RFID track & trace technology. He Wei has published numerous papers and completed many industrial projects. He previously worked in ASM Technology Singapore Pte Ltd and was seconded to IDSC Pte Ltd under the T-Up (Technology for Enterprise Capabilities Upgrading) programme. He received his Master of Engineering degree from the National University of Singapore and a Bachelor Degree from Tsinghua University, China.

Mr Xiao Xuejian

Mr Xiao Xuejian is an accomplished Principal Research Engineer with A*STAR SIMTech. He specializes in supply chain track and trace, business process management, and RFID capture applications and middleware. With extensive experience in leading the design and development of SIMTech ITS, CDMS, and LPT systems, Xiao Xuejian has successfully deployed these solutions for numerous industry companies. His core competencies lie in delivering innovative research outcomes, implementing cutting-edge technologies, and achieving remarkable career milestones.

Mr Guo Yang

Mr Guo Yang is a Senior Research Engineer with A*STAR SIMTech. He joined SIMTech in 2012 and has been primarily focused on the application of RFID in inventory tracking and management. His responsibilities include software system development, implementation, server and database deployment and maintenance, module server-building, and providing technical support. He has actively participated in numerous industrial projects and has consistently delivered successful outcomes. With his extensive experience in RFID application and inventory management, Guo Yang brings valuable expertise to his position. He holds a Bachelor of Science degree from the Huazhong University of Science and Technology, China, as well as a Master’s degree from the Nanyang Technological University, Singapore.

Ms Wan Fangyuan

Ms Wan Fangyuan is a Senior Research Engineer with A*STAR SIMTech’s Smart Urban Logistics Group, Resilient Value Chain Division. She received her B.Eng (Hons) from the Nanyang Technological University, Singapore. She is involved in leading the software development team for the design, development and implement AI decision support software for the industry in supply chain and logistics, particularly in evolving the inventory planning and logistics planning and tracking solutions that are already developing. Thereafter, she helps companies to adopt new AI technologies, through delivering industry knowledge transfer and identifying suitable problem statements for our scientists to address.

Other Information

Training Venue

Training venue

Singapore Institute of Manufacturing Technology,
4 Fusionopolis Way, Kinesis Building, Level 6 or Level 7,
Singapore 138635

Course Fee

Course fee

  • The programme's full fee is $3,500 (before funding) plus prevailing GST for each participant.
  • The full programme fee will be billed to the company or participant before commencement.

Contact Us

  • For technical enquiries, please contact:

Mr HE Wei,
Senior Principal Research Engineer,

  • For general enquiries, please contact:

Mr Alex TAY,
Industry Development Manager



CIP Course Title
Training PeriodRegistration Status
  • Smart Urban Logistics Planning and Tracking For Technology And Operation Innovation

AM5 Apr 2024 - 10 May 2024
The Apr 2024 intake is postponed. We will published a new schedule soon.

FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening