M.Phil.-Ph.D. Programme : Area III: Engineering Management

 

SEEM 5320 Markov Decision Process
SEEM 5420 Scheduling and Sequencing 
SEEM 5430 Optimal Production Planning
ENGG5501 Foundations of Optimization (SEEM5520 Optimization I) 
SEEM 5600 Logistics and Transportation Planning 
SEEM 5610 Inventory and Supply Chain Management
SEEM 5630 Stochastic Inventory and Revenue Management
SEEM 5690 Queueing Systems 

 


SEEM 5320    Markov Decision Process  
 
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 finite-stage models and then discuss infinite-stage models under both discounted return and average return criteria. Basic structural properties of models and computational methods will be introduced and explored. Various applications in supply chain management and other areas will be discussed.

SEEM 5420 Scheduling and Sequencing

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 scheduling. Flowshop scheduling. Job shop scheduling. Batch scheduling with set-up times between batches

SEEM 5430 Optimal Production Planning

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. Capacity expansion and HMMS model. Stochastic production planning: unreliable machines, Markov Chains, Akella-Kumar theorem and threshold-type policy. Hierarchical production planning.

SEEM 5600 Logistics and Transportation Planning

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. Warehouse layout and management. The lotsize / inventory / transportation tradeoff. Enabling technologies for logistics management.

SEEM 5610 Inventory and Supply Chain Management

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 and time varying demand models. Push and pull systems. Coordination and incentive issues in a supply chain. The value of information. Strategic partnering and product design for supply chain management.

SEEM 5630 Stochastic Inventory and Revenue Management

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 optimization. The topics in inventory management include the classical [r.Q] / [s.S] models, and multi-echelon systems, and those in revenue management include dynamic pricing and booking controls and choice models.

 

SEEM5690 Queueing Systems

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. And some applications of queueing theory in supply chain and service, operations management will be discussed.