Operations Management syllabus

Operations Management

• 1 Introduction (5 LHs)

  • Operations definitions, scope and transformation
  • Production versus service operations
  • Production systems and managerial roles
• 2 Operations Strategy (3 LHs)

  • Corporate, business and operations strategy
  • Manufacturing/service strategy
  • Productivity concepts
• 3 Aggregate Planning and Inventory Management (6 LHs)

  • Aggregate plans and service planning
  • Inventory costs and demand
  • Continuous/periodic systems and EOQ
• 4 Quality System (4 LHs)

  • Quality, TQM and quality costs
  • Quality control and variable charts
  • JIT, Six Sigma and ISO 9000
  • Seven quality tools
• 5 Decision Theory (7 LHs)

  • Decisions under uncertainty: maximax, maximin, minimax regret, Laplace and Hurwitz
  • Risk: expected monetary value and opportunity loss
  • Marginal analysis
• 6 Linear Programing (8 LHs)

  • Linear programming models
  • Two-variable graphical and simplex methods
  • Duality
• 7 Transportation Problem (4 LHs)

  • Initial basic feasible solution
  • Optimality and minimization transport solutions
• 8 Assignment Problem (4 LHs)

  • Minimization and maximization assignment
• 9 Game Theory (4 LHs)

  • Two-person zero-sum games
  • Pure and mixed strategies; saddle points
  • Dominance and algebraic solutions
• 10 Assessment (3 hrs.)

  • Class lectures: 45 hrs; assessment: 3 hrs