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Posts Tagged ‘digital technology’

Online Webinar via Zoom (15 May 2020)

Sunday, May 3rd, 2020

Dear IEEE Fellow Members, Senior Members, Members and Graduate Student Members,


The IEEE Technology and Engineering Management Society (TEMS) Malaysia Chapter is excited to present the online webminar in May 2020.

You are cordially invited to attend the seminar on 15 May 2020 using Zoom.

Title: Innovative Development of New Era Logistics Engineering & Management: Digital Technologies

Date: Friday, 15 May 2020

Time: 11.00AM (Malaysia Standard Time)

Mode: Zoom

Speaker: Dr Teh Sin Yin, Program Chairperson, Operations Management, Business Analytics and Marketing, School of Management, Universiti Sains Malaysia

Overview: According to the Logistics, Supply Chain and Transportation 2023 report by Forbes Insights, nearly two-thirds of logistics executives say they expect technology to deliver significant productivity benefits. This webinar covers the digital technologies which will have the inevitable impact on logistics engineering and management in the coming years with solutions such as voice recognition, robotics, artificial intelligence and machine learning. Customer experience is expected to enhance via technologies beyond today’s state of the art such as big data analytics, internet of things (IoT) track and trace, autonomous vehicles platooning, and blockchain. Today, logistics engineering and management professionals have a powerful array of new digital logistics weapons that can be strategically deployed to unlock significant value and create customer-focused logistics systems. Those companies that recognize this changing landscape and invest prudently in process change and supporting digital technologies will reap vast benefits. 

About Speaker

TEH Sin Yin (Ph.D., CMILT, MLogM) is a Senior Lecturer and the Program Chairperson of Operations Management, Business Analytics and Marketing at the School of Management, Universiti Sains Malaysia. She was a fellow and member of the United Nations System Staff College (UNSSC) and Data-Pop Alliance. She was also research fellow at the City University of Hong Kong (CityU) and University Tunku Abdul Rahman (UTAR).

Dr. Teh is a certified TRIZ and HRDF instructor. She was involved in and had successfully completed research projects on “Information, Communication and Technologies (ICT)” with the Penang state government; “a mobile learning system using machine learning and cloud” with Motorola Solutions Malaysia; and “an integration of FMEA and TRIZ” with Sanmina-SCI Systems. Dr. Teh’s research interests are logistics and engineering management, operations management, business analytics, statistical process/quality control, data mining, robust statistics and TRIZ theory of inventive problem solving. She has published nearly 100 articles in several renowned international peer reviewed journals and conference proceedings, including excellent journals of ISI Q1 or Q2 such as Computers & Industrial Engineering, Quality and Reliability Engineering International, and European Journal of Operational Research. She has attended many conferences and held the position of keynote speakers and session chairs.

Presentation slides:

The links for the full videos.

  1. Facial Recognition (Cainiao)
  2. E-Commerce (Alibaba’s logistics affiliate Cainiao Network)
  3. Artificial Intelligence (Toyota AI)
  4. Big Data Analytics (DHL)
  5. Internet of Things (IoT Smart City)
  6. Autonomous Driving (BMW)