Lily Wong is a lecturer at the School of Engineering, Monash University Malaysia. Her main research interest is in Applied Mathematics and Operations Research. She recently focused on modifying Ant Colony Optimization (ACO) to solve the problem related to supply chain management. Apart from ACO, she is also interested in research which is related to other metaheuristics or the evolutionary computing methods and the swarm intelligence algorithms, for instance, Artificial Bee Colony (ABC), Genetic Algorithm (GA), etc., to solve various problems in operations research as well as applied mathematics.   

My research interest is on developing algorithms to solve the problem which in the field of Operations research. My current research is focus on solving the problem in Supply chain management (SCM). SCM is the control of supply chain to manage the flow of commodity both within and among the companies. In order to remain competitive, companies are proposing innovative ways of optimizing their supply chain by integrating certain parts of the supply chain (e.g. Inventory, routing, location, production etc.) which coordinates the planning and scheduling of the supply chain. In my recent work, Ant Colony Optimization is modified to solve the problem of Inventory Routing Problem (IRP) that involves the integration and coordination of two components of supply chain management which are inventory management and transportation. Apart from the current research related to IRP, I am also interested in researches that involve other problems such as Location routing problem, Network Routing problem, Job-shop scheduling problem, etc.

• ENG1090 - Foundation Mathematics