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Multi-Mile Logistics Optimization* (32 hours)

*This is a non-WSQ module.

Introduction

With the emerging technologies and data integration, supply chain logistics strategies are more collaborated than before. This allows for integrated logistics planning which adds-up values to the overall supply chain. Instead of local planning and operating as in single-mile logistics (first, middle, last - mile), the modern approach of multi-mile logistics provides a centralized system for effective planning and control.

In this course, a comprehensive set of terminologies and technical approaches will be covered to provide trainees with necessary skills to design, plan, and evaluate typical multi-mile logistics problems applicable in relevant industrial use cases.

About the Programme

In this programme, you will gain firsthand understanding of multi-mile logistics concepts, tools, and techniques to identify and solve optimisation problems towards designing efficient logistics networks.

This programme consists of four full-day sessions covering key concepts of multi-mile logistics, methods for identifying optimization opportunities in logistics networks, problem modelling and hands-on implementation of solution tools and techniques motivated using practical industry related case studies.

The following tools would be used during the course:

Python (Programming tool)
Excel, KNIME (Data tools)
CPLEX, Gurobi (Optimisation solvers)
anyLogistix (Logistics analytics/simulation software)

After successfully completing the course, participants will have clear understanding on the business impact of multi-mile logistics optimization and gain necessary skills to work on industrial problems aimed at logistics network optimisation.

Who should Attend

This programme is relevant for business owners, management, executives, engineers, and professionals who are currently employed or who wish to be employed in supply chain and/or logistics related fields.

It is applicable for organisations with the intentions to:

Have a firsthand understanding of or to develop capability of multi-mile logistics optimisation.
Understand the challenges and optimisation opportunities in their current logistics network for better delivery service at lower logistics costs.
Hands-on implementation of tools and techniques to re-design and optimise their current logistics network.

Moreover, it is applicable to individuals and staff who are seeking a firsthand understanding of the concepts and optimization techniques in multi-mile logistics, and capability improvement in terms of problem modelling and solving towards logistics optimisation.

Course Outline

The programme employs the Learn-Practise-Implement™ (LPI™) pedagogy, focusing on optimization problems in multi-mile logistics, where the tools and techniques taught will be reinforced with hands-on practices.

Key focus areas or applications:

Fundamentals of multi-mile logistics
Identifying and modelling optimisation problems
Relevant industry use case discussions
Optimisation opportunities in multi-mile logistics and their business impact
Tools and techniques for optimising multi-mile logistics problems
Hands-on solution implementation for use cases

UPON COMPLETION OF THIS COURSE

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

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

Note: Trainees will have to bear the full courses fee upon failure to meet either one of the criteria.

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 $2,600 before funding and prevailing GST.

Nett Course Fee

International Participants	Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders	Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and older (MCES) ²	SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$2,832	$850.20	$330.20	$330.20

All fees are inclusive of GST 9%.

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.

¹ Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme (ETSS), subject to eligibility criteria shown below.

SMEs that meet all of the following eligibility criteria:

Registered or incorporated in Singapore
Employment size of not more than 200 or with annual sales turnover of not more than $100 million

SME-sponsored Trainees:

Must be Singapore Citizens or Singapore Permanent Residents.
Courses have to be fully paid for by the employer.
Trainee is not a full-time national serviceman.

Further Info: This scheme is intended for all organisations, including non-business entities not registered with ACRA e.g. VWOs, societies, etc. Only ministries, statutory boards, and other government agencies are NOT eligible under Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.

² Under the SkillsFuture Mid-Career Enhanced Subsidy (MCES) for employer-sponsored and self-sponsored Singapore Citizens aged 40 years old and above.

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.skillsfuture.gov.sg

How course fees are calculated

TYPE	CATEGORY OF INDIVIDUALS
	International Participants	Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders	Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above	SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders)
	FUNDING SOURCE
	Not applicable for SkillsFuture Funding	SkillsFuture Funding (Baseline)	SkillsFuture Mid-career Enhanced Subsidy (MCES) ²	SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee	$2,600	$2,600	$2,600	$2,600
SkillsFuture Funding	Not Applicable	($1,840)	($2,340)	($2,340)
Nett Course Fee	$2,600	$780	$260	$260
GST 9%	$234	$70.20*	$70.20*	$70.20*
Total Nett Course Fee Payable to Training Provider	$2,834	$850.20	$330.20	$330.20

* Based on 30% of Full Course Fee

Contact Us

For technical enquiries, please contact:

Dr LEE Wen Yao,
Email: lee_wen_yao@ARTC.a-star.edu.sg

For general enquiries, please contact:

Dr Edwin SOH,
Email: edwin-soh@ARTC.a-star.edu.sg

Registration

Please register for this course through our Course Registration Form for Public Classes.
For the first question, please select Qn1: Modular Programmes
Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
Once the next intake is confirmed to commence, SIMTech will contact the applicants to share the class information.

Collateral

Download brochure

Schedule

Module	Skills Course Reference Number	Training Period (Click on dates to view schedules)	Registration Status
Multi-Mile Logistics Optimization (32 hours)	TGS-2023036205	The next intake's schedule is still in the planning stage.

Note: SIMTech and ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.

Announcement:

From 1 Oct 2023, attendance-taking for SkillsFuture Singapore (SSG)'s funded courses must be done digitally via the Singpass App. More information may be viewed here.

Sessions

: Full day