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Inventory Management for Smart Manufacturing & Services* (40 HOURS)

This module was formerly referred to as "Data Analytics Driven Inventory Planning".
Data Analytics Driven Inventory Planning

*This is a non-WSQ Programme.

Inventory planning is a process involving inventory performance analysis & planning, and purchase decision-making; by reaching right-sized inventory through the process, the organisation will be able to mitigate inventory risk in short term and maximise inventory performance in mid-term and/or long-term. As a direct result, the organisation can satisfy demand at low inventory cost.

about the programme

The digitalisation journey to Industry 4.0 is fundamentally transforming the traditionally siloed supply chains into integrated digital supply networks, in which supply and demand signals are originated at any point and travel immediately throughout the supply networks making data analytics a powerful tool in inventory planning.

Our Immersive and Hands-on Analytics Approach

Competence Development
This programme is to train participants in inventory planning knowledge and principles, and equip them with skills and tools that are required in inventory performance analysis and planning.

Harvesting the Low Hanging Fruit
Reaching right-sized inventory by applying the knowledge and skills learned through the course is a low hanging fruit that company can achieve in the early stage of the digitalisation journey. Meanwhile, the course will pave the way for continuous inventory performance improvement in the journey to Industry 4.0.

Who Should Attend

The programme is relevant for business owners, CEOs, directors, senior managers, and professionals who are in the areas of supply chain management, planning, purchasing and sourcing, inventory and material control, and sales & operation planning.

outline_Inventory Management for Smart Manufacturing and Services



Testimonial

Nerve Centre

“Dr Wang is a humble, patient, encouraging, and committed tutor. While imparting inventory planning skills and knowledge to us, his learn-it-all attitude impressed upon me as a role model for learning and excelling in study and in life. My takeaway from him far exceeds the course objective of Inventory Planning.

Thank you Dr Wang.”


Ms Veronica Chiu,
Trainee from SGUS for Digital Transformation & Innovation™




Webinar

Our webinar was held on 27 January 2022 to offer an introduction to this course. You can also watch our webinar's video recording at our YouTube webpage.
watch playback




Course Outline

Course Outline

The programme engages the Learn-Practise-Implement™ (LPI™) pedagogy, through which fundamental knowledge and principles taught will be reinforced in practice, as well as during the implementation process using real business scenario and data.

Key Topics cover: 
  • Just-in-time Inventory Replenishment
  • Problems Understanding
  • Planning Approaches & Principles
  • Inventory Planning Framework
  • Risk Analysis for SKU Segments
  • Inventory Policy Development
  • Purchase Request Generation
  • Performance Measurements & Planning
  • Inventory Performance Optimisation



download brochure OR register of interest for course

Data Analytics Driven Inventory Planning

Please register your interest for this course under 1. Modular Programmes > 2. Inventory Management > 3. Inventory Management for Smart Manufacturing and Services 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 $4,000 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 SMEs¹
$4,280 $1,284 $484
$484
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

    Data Analytics Driven Inventory Planning

    Please register your interest for this course under 1. Modular Programmes > 2. Inventory Management > 3. Inventory Management for Smart Manufacturing and Services in the online form.

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



    Schedules

    Modules
    Skills Course Reference Number Training Period
    (Click on dates to view schedule)
    Registration Status
    Inventory Management (42 hours) TGS-2018502769
    EVE4 Jul 2022 - 31 Aug 2022
    (14 evening sessions; SIMTech@FP2)
    Register interest to Course
    Inventory Management for Smart Manufacturing and Services (40 hours) TGS-2020503175 FD29 Apr 2022 - 27 May 2022
    Registration has closed
    Sessions
    FD
    : Full Day  AM
    : Morning PM
    : Afternoon EVE
    : Evening