Multi-Mile Logistics Optimization* (32 hours)
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.
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 "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.
Schedule
Module | Skills Course Reference Number | Next Intake(s)'s Training Period
(Click on the dates to view its schedules) |
Registration Status |
| 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.
- View the full list of modular programmes offered by SIMTech and ARTC.
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