SMU-Alibaba Series: Smart Manufacturing

Programme Code: CRS-N-0048863

Overview

Alibaba’s co-founder, Jack Ma predicted that New (Smart) Manufacturing will bring swiping challenges and opportunities to manufacturing companies in China and around the world. In the future 10 to 15 years, all the pain points of the manufacturing industry will be far more serious than those for today and we should get prepared.

Similar to smart retail, smart manufacturing involves a transformation of traditional manufacturing industry by integrating technology capabilities in the internet, data, AI, cloud computing and IoT. The trend towards smart manufacturing and Industry 4.0 will change production significantly in the future. Therefore it is imperative to understand basic principles of smart manufacturing and Industry 4.0 to meet the challenges facing production in the future. 

The concerted objective of this course, on the one hand, seeks to address the current state of the art in smart manufacturing and on the other provides an outlook on new technologies, businesses and opportunities arising out of digitalisation, use of smart devices. So, come join this course and learn more about smart manufacturing and how it’s being implemented across a variety of industries. 

This module is part of SMU-Alibaba Series.

    Next Course Starts On03 Jun 2019 (Mon) See Full Schedule
    Fee SGD2140.00* (as low as SGD242.00* after maximum funding) Learn more
    Duration

    2 days

    Level
    Intermediate
    Venue

    SMU

    Learning Objectives

    At the end of the 2-day course, participants will be able to:

    • Understand the key components of smart manufacturing and the relevant methodology
    • Gain an overview of industry-specific use cases of smart manufacturing
    • Understand what types of data are required for real-time decisions and for future analysis. Examples of using sensor data for alerts, dashboards, analytics and machine learning will also be discussed
    • Understand how to provide transparency to end customers by tracking order status at each step of a complex assembly process
    • Discuss the impact of capital assets on a manufacturer's balance sheet and how digital asset management can improve asset utilisation

    Who Should Attend

    • Business leaders and senior managers in manufacturing organisations
    • Technology suppliers for manufacturing, warehousing and asset management

    Prerequisites:
    Familiarity with manufacturing and logistics processes and systems. 

    Assessment

    Course assessment will be based on classroom exercises and presentation. 

    Fees and Funding

    SkillsFuture Series

    Course fee grant at 70% of course fees (excluding GST) for participants who are successfully enrolled by SMU into approved courses under the Programme. Participants must be Singapore Citizens or Singapore Permanent Residents.

    SkillsFuture Mid-Career Enhanced Subsidy ("MCES")
    Up to 90% of course fees for Singapore Citizens aged 40 years and above

    Enhanced Training Support for SMEs ("ETSS")
    Up to 90% of course fees for employees of SMEs who are Singapore Citizens or Permanent Residents

    Workfare Training Support Scheme ("WTS")
    Up to 95% of course fees for Singapore Citizens aged 35 years and above (13 years and above for persons with disabilities) earning a monthly income of not more than S$2,000.

    SkillsFuture Credit
    Singapore Citizens aged 25 and above, and self-funding may use their SkillsFuture Credit (up to S$500) to defray part of the course fee. Please click User Guide on how to submit your claim. SkillsFuture Credit claims may be submitted by logging in via MySkillsFuture.sg.

    Absentee Payroll
    Companies who sponsor their employees for the course may apply for Absentee Payroll via the SkillsConnect system. For more information, please visit SkillsConnect.


    Full Fee: S$2,140 per participant (including GST).
    Nett fees payable per participant after SSG Funding:

    • S$642 (including GST) for Singapore Citizens and Singapore Permanent Residents
    • S$242 (including GST) for Singapore Citizens aged 40 years and above

    Schedule

    Start Date(s)
    Intake Information
    intake 19 - 10 April 2019 (Open for Registration)
    INTAKE 23 - 4 June 2019 (Open for Registration)

     

    Speaker/Trainer Bio

    Yang Kan is currently Regional Manager of Data Intelligence Business at Alibaba Cloud, leading Alibaba Cloud’s regional big data and AI business strategy and solutions. His team is dedicated to craft solutions under ET Brain framework to various industries including smart city, new retail and smart manufacturing.

    Prior to joining Alibaba, Yang Kan spent 10 years in managing enterprises’ global big data strategies and programmes. He was responsible for transforming many traditional businesses into data-driven organisations in oil & gas, and manufacturing industries. He has successfully implemented multiple end-to-end data projects and rollout the solutions to global organisations.

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