Area III: Engineering Management

This course covers the fundamental concepts and theories of stochastic dynamic programming (Markov decision processes) and aims to give the central ideas of how they are applied to model and solve various problems in different contexts. We start with...

Classification of scheduling and sequencing problems. Sequencing involving capacity expansion. Single machine scheduling involving due dates: problem formulation and applications, complexity, exact solutions and approximate solutions. Parallel machine...

Overview of manufacturing system: resources constraints, cost, planning horizon, and objective of production planning. Deterministic production planning; parallel machine systems, flowshops and jobshops. Dynamic programme equations, zero-inventory policy....

Global logistics management. Facility location models. Network design. Transportation Planning: mode selection, routing and scheduling. Transportation and transshipment problems. Vehicle routing models. Fleet management. Less-than-truckload deliveries....

Strategic importance of inventory management. Inventory model for constant demand: economic order quantity. Time varying demand models. Co-ordinated replenishment for multiple items. Enterprise resources planning. Multi-echelon inventory management:constant...

This course is to equip students with the skills that enable them to formulate and analyse stochastic inventory and revenue management models. The fundamental concepts, methods, and results are presented, with an emphasis on the foundation of dynamic...

Elementary through advanced queueing systems will be covered in this course. Topics include birth-death queueing systems, Jackson network, M/G/1 and G/G/1 systems, and priority queues etc. Equilibrium behavior in queueing systems will be introduced....