CET861 Optimization of Supply and Transportation Networks

Course Provider

School of Mechanical and Aerospace Engineering (MAE)



Academic Unit



Quantitative tools, techniques, and concepts can dramatically change the way businesses operate their supply chain, logistics, manufacturing, and service operations. This course is designed to equip participants with fundamental quantitative techniques to help make more informed managerial decisions. Specifically, this course will cover models for designing and optimizing supply, distribution, and transportation networks, modeled as Transportation problem, Assignment problem, or Shortest-path problem. Models which include integer decision variables, as in distribution network design, will also be discussed. Focus of the course will be learning network modeling and solving the models using computer-based tools. The course will also require participants to work in groups to model and solve a real-life-sized network.


This course is part of:

- Graduate Certificate in Supply Chain Engineering
- FlexiMasters in Supply Chain Engineering

Download Learning Pathway e-Guide

Upon completion of the course, the participants will be able to:

1. Understand techniques for solving network models based on linear and mixed-integer programs.

2. Be able to model supply and distribution network problems.

3. Be able to model transportation and assignment problems.

The topics covered in this course include:

1. Introduction to Linear Programming; Sensitivity analysis and interpretation of results.
2. Linear programming applications: Make-or-buy decision, Production scheduling, Workforce assignment, etc.
3. Solving Liner Programming models using Excel Solver.
4. Distribution and network models: Transportation problem, Assignment problem, Shortest-route problem.
5. Integer linear programming: Distribution network design, Production scheduling with changeover costs

Working adults from the industry, professionals seeking mid-career change or fresh graduates with relevant background.

Standard Course Fee: S$1,308

SSG Funding Support

 Course fee

Course fee payable after SSG funding, if eligible under various schemes


BEFORE funding & GST

AFTER funding & 9% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)



Enhanced Training Support for SMEs (ETSS)


SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

  • Standard course fee is inclusive of GST.
  • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.


Read more about funding
Dr Rajesh Piplani

Dr Rajesh Piplani

Dr. Rajesh Piplani (Ph.D. Purdue University, 1995) is an associate professor at Nanyang Technological University, Singapore and the Director of M.Sc. program (Supply Chain Engineering. Dr. Piplani's interests are in supply chain design and inventory planning of manufacturing, logistics and pharmaceutical enterprises. His latest project entails investigation of machine learning to shop floor control and supply chain planning.

Dr Piplani has offered customized programs for various companies (PSA, DHL, Singapore Customs, TNT, Phillips, Maxtor), and for all the three branches of Singapore Armed Forces (Army, Navy and Air Force). He has worked on supply chain modeling and analysis projects for Singapore-based companies in the pharmaceutical, automotive, electronics and beverage sectors.
CET857 Warehousing Operations1
CET858 Global Air Cargo1
CET859 Multi-modal Transport and Sea Freight Management1
CET860 Decision Making under Uncertainty1
CET862 Decision Analytics and Applications1
CET863 Sales and Operations Planning1
CET864 Resource and Capacity Planning 2
CET865 Introduction to Supply Chain Management1
CET866 Supply Network Design & Inventory Management1
CET867 Strategies for Supply Chain Alignment 1
CET868 Strategic Sourcing and Procurement2
CET869 Effective Supplier Management & Development1

Listed courses are:

  • Credit-bearing and stackable to Graduate Certificate in Supply Chain Engineering (total 9AUs) and FlexiMasters in Supply Chain Engineering (total 15AUs).
  • SkillsFuture Credit approved.