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Operations and Management Science PhD Program


PhD Seminars

The topics covered in each of these seminars are listed below. At least one doctoral seminar is offered in each semester, and seminars related to new research topics are always under development. Additional research seminars which include presentations by faculty from other institutions, industry leaders, and our own doctoral students are also held.

 

   
    OMS899 Capacity  
    OMS899 Information in Production Inventory Systems
    OMS899 Transportation and Logistics
    OMS899 Competition and Incentives in Operational Decisions
    OMS899 Inventory Theory
    OMS899 Auction Theory
    OMS899 Markov Decision Processes
    OMS899 Technology Management
    OMS899 Customer Behavior in Operations
    OMS899 Supply Chain Management
    OMS899 Theories of Procurement
    OMS899 Stochastic Resource Allocation and Dynamic Pricing
    OMS885 Logistic Networks: Theory and Applications
    OMS885 Value of Information & Risk Management
    OMS885 Queuing Theory I
    OMS899 Interface between Operations and Finance
    OMS899 Revenue Management and Pricing
 
 
    Capacity (Instructor - Prof. William Lovejoy)
  1. Capacity and competitive reaction
  2. Capacity as a deterrent to entry
  3. Capacity as a buffer stock
  4. Capital acquisition and the learning organization
  5. Traditional OR approaches to capacity expansion
  6. Capacity as an option
  7. Issues on capacity decisions at General Motors
  8. Plant loading and capacity investments
  9. The costs of capacity usage at Libby Owen Ford
  10. Costing capacity usage
  11. Complexity as a capacity issue
  12. Scheduling with capacity constraints
  13. Exchange rate fluctuations and information issues in capacity planning.

   Information in Production Inventory Systems (Instructor - Prof. Roman Kapuscinski)
  1. Taxonomy and Value of Information
  2. Value of Information
  3. Value of Centralized System
  4. Coordination/Lead Times vs. Information
  5. Bullwhip Effect
  6. Postponement
  7. Information Delays in Supply Chain
  8. Local vs. Global Information
  9. Using Information in Promotions
  10. Contracts
  11. Non-Cooperative System
  12. Allocation of Benefits
  13. Empirical Studies

   Transportation and Logistics (Instructor - Prof. Ana Muriel)
  1. Quantifying Heuristics Effectiveness/Vehicle Routing Problem
  2. One-Warehouse Single-Retailer Models
  3. One-Warehouse Multi-Retailer Systems
  4. Multi-Echelon Systems
  5. Warehouse Location Analysis: Customers are served directly from the closest facility
  6. Location/Routing Models
  7. Network Design: From the carrier's perspective, which links should be serviced?, how often?
  8. Divided Ownership and Information Issues
  9. Third Party Logistics Providers: Empirical Studies

   Competition and Incentives in Operational Decisions (Instructor - Prof. Sudheer Gupta)
  1. Modeling Competition
  2. A Primer on Strategic Incentives
  3. Capacity Investments in Competition
  4. Capacity Allocation
  5. Inventory Decisions under Competition
  6. Vertical Coordination Incentives
  7. Coordination in Competing Supply Chains: I
  8. Coordination in Competing Supply Chains: II a) Observability and Renegotiation b) Empirical Evidence
  9. Information Sharing in a (Single) Supply Chain
  10. Supply Chain Contracts under Competition
  11. Information Sharing under Competition
  12. Transaction Costs and Incomplete Contracts
  13. Impact of IT on Supply Chain Relations and Coordination Mechanisms

   Inventory Theory (Instructor - Roman Kapuscinski)
  1. Deterministic Systems
  2. Time varying demands, multiple products and locations
  3. Multi-echelon systems with deterministic demand
  4. Stochastic demand with constant lead-time
  5. Stochastic demand – periodic review models
  6. Stochastic demand with fixed costs (s, S) policies
  7. Multi-echelon systems with stochastic demand (constant lead time)
  8. Stochastic lead-times and the structure of the supply system (1)
  9. Assembly Systems
  10. Effect of capacity in multi-echelon systems
  11. Inventory and Pricing
  12. Value of Information

   Auction Theory (Instructor - Prof. William Lovejoy)
  1. Introduction
  2. Revenue Equivalence
  3. Asymmetric bidders
  4. Mechanism Design and T-note auctions
  5. Affiliated values and FCC/airwave auctions
  6. Clarke-Groves mechanisms, multi-dimensional goods and energy auctions
  7. Procurement auctions

   G. Markov Decision Processes (Instructor - Prof. William Lovejoy)
  1. Finite horizon theory and basic value iteration
  2. Introduction to archetypal problem classes
  3. Discussion of numerical solutions and introduction to infinite-horizon models
  4. Analytical structure in inventory problems
  5. Analytical structure in machine maintenance problems
  6. Analytical structure in optimal stopping problems
  7. Lattice programming, monotone value functions and policies

   Technology Management (Instructor - Prof. William Lovejoy)
  1. Industrial dynamics
  2. Strategy, Diversity and Internal Organization
  3. Internal Organization (inertia and core competencies)
  4. The nature of innovation
  5. Organizing for new product innovations
  6. Models for information flows and development process capacity
  7. R&D project portfolio management
  8. Exploration vs Exploitation I: Models for learning at cost
  9. Exploration vs Exploitation II: Bandit problems
  10. Managing internal knowledge

   Customer Behavior in Operations (Coordinators: Profs. Roman Kapuscinski and Hyun-soo Ahn)
  1. Learning and Pricing
  2. Basic (Clearance) Sales Model
  3. Pricing of Short Life-Cycle Product (Price for Individual Customer)
  4. Product Life Cycle and Market Evolution
  5. Bundling
  6. Advance Selling
  7. Distribution Channels
  8. Queuing and Price
  9. Strategic Consumers
  10. Product Line Decision (Product assortment decision.)
  11. Switching Costs
  12. Promotion

   Supply Chain Management (Instructor - Prof. Roman Kapuscinski)
  1. Inventory Theory
  2. Multi-echelon structures
  3. VMI and outsourcing
  4. Inventory and pricing - centralized
  5. Modeling Exchange risk
  6. Advanced demand information
  7. Proportional yield and uncertain capacity
  8. Games, incentives, information
  9. Inventory and pricing in decentralized systems
  10. Capacity and entry deterrence
  11. Substitution
  12. Decentralized systems – wholesale price and coordination

   Theories of Procurement (Instructor - Prof. Damian Beil)
  1. Single source models I: Basic auction theory
  2. Single source models II: Mechanism design, Multi-attribute auctions
  3. Single source models III: Capacity investment, Auctions with bidder qualification checks
  4. Multiple source models I: Split award contracts, Quantity flexible contracts
  5. Multiple source models II: Entry fees, Repeated source events
  6. Competitive bidding and moral hazard
  7. Option and spot market with forward contracts
  8. Multiple source models III: Combinatorial auctions, Topology of buyer-seller networks

   Stochastic Resource Allocation and Dynamic Pricing (Instructor - Prof. Hyun-Soo Ahn)
  1. Single resource capacity control and rationing
  2. Theory of Pricing: Part I
  3. Theory of Pricing: Part II
  4. Multi-product Pricing Strategy
  5. Consumer Choice Model
  6. Departures from classical demand models: Strategic and Myopic Consumers
  7. Departures from classical demand models: Reference Price and Quantity Effect

   Logistic Networks: Theory and Applications (Instructor - Prof. Amitabh Sinha)
  1. Models, formulations and solution concepts
  2. Cost recovery and duality
  3. Monopolist’s distribution locations
  4. Selfish routing and network control
  5. Competitive location
  6. Truckload transportation

   Value of Information & Risk Management (Instructor - Prof. Roman Kapuscinski)
  1. Value of Information
  2. Value of Information and Effect of Response Time
  3. Value of Centralized Systems
  4. Bullwhip Effect
  5. Risk and Hedging
  6. Operations and Financial Constraints
  7. Disruption Risks

   Queueing Theory I (Instructor - Prof. Izak Duenyas)
  1. Birth-death queues, time reversibility, stochastic orders
  2. Jackson networks: Open, closed and semi-open networks
  3. Stochastic Comparisons: Likelihood Ratio Ordering
  4. Kelly Networks, Quasi Reversibility, PASTA Property
  5. Heavy Traffic and Fluid Limits of Queues

 

 

 

 

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