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Introduction
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) | S$1,200 | S$392.40 | |
Enhanced Training Support for SMEs (ETSS) | S$152.40 | ||
SCs aged ≥ 40 years old | |||
- Standard course fee is inclusive of GST.
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
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.
| COURSE TITLE | ACADEMIC UNIT |
| CET857 Warehousing Operations | 1 |
| CET858 Global Air Cargo | 1 |
| CET859 Multi-modal Transport and Sea Freight Management | 1 |
| CET860 Decision Making under Uncertainty | 1 |
| CET862 Decision Analytics and Applications | 1 |
| CET863 Sales and Operations Planning | 1 |
| CET864 Resource and Capacity Planning | 2 |
| CET865 Introduction to Supply Chain Management | 1 |
| CET866 Supply Network Design & Inventory Management | 1 |
| CET867 Strategies for Supply Chain Alignment | 1 |
| CET868 Strategic Sourcing and Procurement | 2 |
| CET869 Effective Supplier Management & Development | 1 |
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.
