Multi-Mile Logistics Optimization
About This Course
This programme consists of four full-day sessions covering key concepts of multi-mile logistics, methods for identifying optimization opportunities in logistics networks, identifying and modelling optimisation problems, optimisation opportunities in multi-mile logistics, and their business impact, 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 analysis, data exploration, data processing tools)
• CPLEX, Gurobi (Mathematical programming optimisation solvers)
• anyLogistix (Logistics analytics, simulation, visualisation 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.
What You'll Learn
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.
In this programme, you will gain first hand understanding of multi-mile logistics concepts, tools, and techniques to identify and solve optimisation problems towards designing efficient logistics networks.
Entry Requirements
Diploma or above in any engineering discipline
Candidates with industry working experience on the topic but do not meet the above entry requirement may apply, subject to approval as exceptional cases.