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MACHINE LEARNING FOR SUPPLY CHAIN ANALYTICS AND OPERATIONS MANAGEMENT* (40 HOURS)

Machine Learning for SCA
This module is also referred to as "Machine Learning for Supply Chain Analytics and Last Mile Logistics Planning". 

*This is a non-WSQ module.

In today’s connected world, machine learning has emerged as a key technologies for improving business operations in organisations. It extracts meaningful insights from raw business data for better decision support & making in the supply chain planning and operations management.

about this programme

This programme focuses on applying relevant machine learning techniques to extract hidden patterns from either commercial systems such as CRM, ERP or excel files containing large volume of transactions data amassed over the years. Some of the examples are listed below:

Machine Learning for SCA_About the pogramme

Who Should Attend

This programme is designed for organisations in the manufacturing and service sectors that have substantial amount of operational and transaction data. It aim to equip professionals with data analytics skill that can be utilized to discover insights for better planning of their supply chain activities. The programme is highly suitable for management officers/ directors and professional who works in the area of supply chain planning and management, logistics planning, sales and marketing function, production, operation or IT.




Course Outline

Course Outline

The programme adopts the Learn-Practise-Implement™ (LPI™) pedagogy. Participants will acquire knowledge through a gradual learning curve, reinforce the knowledge and skill taught by working on hands-on examples that are related to their work, and apply the knowledge acquired to solve their business problems.

Machine Learning for SCA_Outline

The machine learning topics covered in this course are aimed to provide insights for better decision support in the areas of demand planning, inventory planning and profile analysis of suppliers and customers.




download brochure OR register of interest for course

Machine Learning for Supply Chain and OMA

Please register your interest for this course under 1. Modular Programmes > 2. Machine Learning for Supply Chain Analytics and Operations Management in the online form.

Note: SIMTech will contact you once registration for the next run of the course you are interested in opens.

Upon Completion of This Course

UPON COMPLETION OF THIS COURSE

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech if they meet the following criteria:

  • Achieve at least 75% course attendance;
  • Take all assessments; and
  • Pass the course.

Pre-Requisites, Full and Nett Course Fees

Pre-Requisites

  • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
  • Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.
  • Proficiency in written and spoken English.

Full Course Fee

The full course fee for this module is $5,000 before funding and prevailing GST.

Nett Course Fee

International
Participants
Singapore Citizens
(39 yrs old or younger), SPRs or LTVP+ Holders
Singapore Citizens (40 yrs or older)² Enhanced Training Support
for SMEs ¹
$5,350
$1,605
$605
$605
All fees are inclusive of prevailing GST.

Please note that fees and funding amount are subject to change.

  • Long Term Visit Pass Plus (LTVP+) Holders
    The LTVP+ scheme applies to lawful foreign spouses of Singapore Citizens with (i) at least one Singapore Citizen child or are expecting one from the marriage, or at least three years of marriage, and (ii) where the Singapore Citizen sponsor is able to support the family.

    All LTVP+ holders can be identified with their green visit pass cards, with the word ‘PLUS’ printed on the back of the card.

  • Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees (for self-sponsored registrations only).

    For more information on the SkillsFuture funding schemes you are eligible for, please visit www.ssg.gov.sg




    How course fees are calculated

    fees breakdown



    Contact Us




    download brochure OR register of interest for course

    Machine Learning for Supply Chain and OMA

    Please register your interest for this course under 1. Modular Programmes > 2. Machine Learning for Supply Chain Analytics and Operations Management in the online form.

    Note: SIMTech will contact you once registration for the next run of the course you are interested in opens.



    Schedule

    Module
    Skills Course Reference Number Training Period
    (Click on dates to view schedule)
    Registration Status 
    Machine Learning for Supply Chain Analytics and Operations Management (40 hours)TGS-2020503195  
    Sessions
    FD
    : Full Day  AM
    : Morning PM
    : Afternoon EVE
    : Evening