SUPPLY CHAIN SIMULATION AND OPTIMIZATION
2018/2019, Semester 2
Non-Faculty-Based Departments (The Logistics Institute - Asia Pacific)
Modular Credits: 4
As global companies extend their supply chains across the world, they must be prepared to deal with a host of logistics and supply chain management issues. Through the use of an easy-to-understand tool, this hands-on decision-oriented module will allow students to gain a deeper appreciation on the use of model-based management decision-making to address a wide range of global supply chain management issues.
LI5101 Supply Chain Management Thinking and Practice, or approval of course instructor.
Lectures and hands-on sessions with a modelling software, using a problem-based learning approach.
This module aims to provide a hands-on learning opportunity through the use of an easy-to-understand software, such as
, for students to address a wide range of supply chain management (SCM) problems. It allows students to focus on management decision analysis and use key performance indicators (KPIs) for operational, customer and financial performance measurement and decision-making.
The module covers supply chain simulation and optimization examples via developing and building models and evaluating KPIs, and discusses how to use these models and their simulation and optimization results to improve management decision-making.
Two-Stage Supply Chain – Facility location planning, network optimization, supply chain design analysis
Three-Stage Supply Chain – Inventory and transportation policies, and their impact on supply chain design and operations
Four-Stage Supply Chain – Production and sourcing policies, and the trade-offs among single and multiple sourcing, production times, transportation frequencies, inventory control policies and lead time
Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week