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Highlights

 
Manufacturing and Industrial Engineering Section Committee 2020
 
1 Chairman Dr. Carman K.M.Lee
2 Vice Chairman Dr. Jimmy C.H. Li
3 Honorary Secretary Dr. Jacky Y.K. Ng
4 Honorary Treasurer Mr. Vincent W.C. Fung 
5 Immediate Past Chairman Mr. John H.K. Chow
6 Past Chairman (Session 2017-2018) Dr. George H.K. Lau
7 Committee Member Mr. Stephen S.K. Lam
8 Committee Member Mr. Norman C.H. Wei
9 Committee Member Dr S L Mak
10 Committee Member Mr. Borji W.K. Leung
11 Committee Member Mr. Eric K.S. Cheng
12 Committee Member Mr. Andy K.C. Yeung
13 Committee Member Dr. Steve N.H. Tsang
14 Committee Member Mr. Mark K.Y. Tsang 
15 Committee Member Mr. Alvin W.K. Yeung
16 Committee Member Mr. Ekmanson Poon
17 Committee Member Mr. C.K. Cheung
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Latest News:
2020-12-05: Webinar - Challenge in Reindustrialization - A case study of face mask factory in Hong Kong
 

The webinar was conducted at Sun Shine Investment Holdings Limited., with speakers from private sectors, non-governmental organizations (NGO) and Hong Kong Productivity Council (HKPC) invited to share their experience in setting up face mask production lines in Hong Kong during the COVID-19 pandemics as well as the challenges of reindustrialisation in Hong Kong. Total of 77 participants (including the host and 3 speakers).

Of all the coronavirus-induced problems facing worldwide, the mask shortage might be the most baffling. In early February, desperate scenes as 10,000 people queued for masks at Hong Kong industrial estate overnights for one box of 50-count mask, it has become the turning point of Hong Kong manufacturers, who have relocated the facilities to Southern China during 1990s, to revive reindustrialisation in Hong Kong, setting up local face mask production lines. The speakers from various disciplines have shared their successful stories and technical knowledge in face mask productions, it has arouse the interests of participants, engaging actively in  the last panel discussion section.


Topics and Speakers:
  • Mr. Benny Chang, CEO of Sun Shine Investment Holdings Limited
    Topic: Reindustrialization Opportunity in Hong Kong by taking facemask manufacturing as a footprint forward

     
  • Mr. Cola Lam, Lead Consultant in Robotics and Artificial Intelligence Division of Hong Kong Productivity Council
    Topic: Setup, Maintenance, Efficiency control of surgical mask production line in Hong Kong

     
  • Mr. Yip Kam Hung, General Manager of Sunny Social Enterprise
    Topic: High-End Designer Facemask Introduction

Appreciation to:
1/          Mr. Ekmanson Poon who sponsors live video and audio equipment setup for conducting the webinar.
2/          Sun Shine Investment Holdings for the facemask production site. 


Webinar facilitator by Ekmanson Poon.
Moderator by Dr. YC Chau
Event reported by Dr. Vincent Fung










 

2020-11-28: Webinar – Digitalization and Quality Management
The seminar was co-organized by MIES of IET Hong Kong, the Department of Industrial and Systems Engineering (ISE) of The Hong Kong Polytechnic University and MILES Alumni Association Limited of The Hong Kong Polytechnic University, Hong Kong Society for Quality, The Hong Kong Institution of Engineers and IVE (Engineering). Total of 63 participants (including the host and 2 speakers).  
 
Digitalization is the process of moving to a digital business. Increased digitalization has affected business activities including companies’ business models by enabling various new forms of collaboration between companies, leading to new product and service offerings, as well as new forms of company relationships with customers, employees and other stakeholders. At the same time, digitalization has put pressure on companies to reflect on their current strategy and explore new business opportunities systematically and at early stages. 

Quality management is the act of overseeing all activities and tasks needed to ensure that an organization, product or service is consistently delivering value to customers. It consists of establishing and implementing the processes of quality planning, quality control and assurance, as well as quality improvement. Quality management helps companies to achieve sustainable performance excellence. Digitalization brings new challenges and opportunities to quality management. This seminar has invited experts to share their professional knowledge in digitalization and quality management with applications. 
  
To share the professional knowledge and inspire transformation in industries, this seminar has invited experts to share latest digitalization technologies such as IoT, cloud computing, data analytics and visualization for quality management in manufacturing and various industries.  
 
Topics and Speakers: 
  • Dr Albert Tsang has been very active in professional and scholarly activities both in Hong Kong and internationally. He was a long-serving member of The Hong Kong Polytechnic University. Before his retirement, he was Principal Lecturer of the Department of Industrial and Systems Engineering at the University. Dr Tsang described the  big data analytics process and digital twin for achieving digitalization initiatives such as new business model formulation, problem detection and solving,  
  • Dr. Lotto Lai has more than 20 years working experience in a position of executive level, especially in the area of quality & innovation management, testing and certification (T&C) industry.   He has serviced the Hong Kong Society for Quality (HKSQ) since 1997. Dr Lai introduced the importance of Industry 4.0 and how it leads to the emergence of Quality 4.0. He also shares his point of view about how digitalization and data analytics enabled Quality 4.0.  
 
The participants found these real-life application cases very interesting and fruitful. The presentations were followed by a discussion with the audience. The audience are quite interested in quality 4.0 and the impact of digital twin in the engineering application.   



Dr Albert Tsang described the big data analytics process and digital twin for achieving digitalization initiatives such as new business model formulation, problem detection and solving.  




Dr. Lotto Lai introduced the importance of Industry 4.0 and how it leads to the emergence of Quality 4.0. He also share his point of view about how digitalization and data analytics enabled Quality 4.0.  



 


2020-8-01: Webinar: Digital Transformation for Smart Manufacturer and Logistics Service Provider
The event was jointly organised by MIES of IET Hong Kong, Department of Industrial and Systems Engineering (ISE) and MILES Alumni Association Limited of The Hong Kong Polytechnic University. 

In recent year, network capabilities of 5G accelerate the implementation of Industry 4.0, IoT, machine learning and data analytics which urge the changes in industries. Both manufacturer and logistics service provider are facing fierce competitions and challenges. With rapid technology development, industries move forward to the era of digital transformation and makes revolution in product and process innovation. Digital transformation could provide more data-based insights and help optimize the operation and collaboration across departments with better customer experience. To share the professional knowledge and inspire transformation in industries, this seminar has invited experts to share their successful stories in both manufacturing and logistics industry using different technologies and concepts such as Digital twins, Cyber Physical System and Data Analytics etc.

Speakers:
Prof HK Chan, Professor of Nottingham University Ningbo China, Fellow of IET
Dr. Ka Ho Chow, Assistant Chief Operating Officer, Wah Tong Group

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Category:
Technical
Description:
Manufacturing and Industrial Engineering Section is one of the key sections established by IET Hong Kong. Manufacturing Engineering mainly focuses on the internal dynamics of industrial processes such as: Machine Tools, Materials Science, Industrial engineering is concerned with the design, improvement and installation of integrated systems of people, materials, information, equipment and energy. It draws upon specialized knowledge and skill in the mathematical, physical, and social sciences together with the principles and methods of engineering analysis and design, to specify, predict, and evaluate the results to be obtained from such systems.
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