Tribhuvan University
Faculty of Management
Office of the Dean
Bachelor of Information Management (BIM)
Course Objective
:This course aims to impart the basic knowledge, tools and techniques of operations management and mathematical models used in operations research to make effective business/ management decision to students.
Course Description
:Introduction to operations management. Operations strategy, P roduct and service design , Inventory management and Aggregative planning, Quality system, Decision theory, Linear programming problem, Transportation problem, Assignment problem and Game theory.
Course Contents:
Lecture hours show the approximate classroom time allocated to each unit.
Unit 1.Introduction
- Operations management: Definitions, scopes, and objectives
- Transformation process
- Differences between production and service operations
- Operations and supporting functions
- Role of the operations manager
- Production system: intermittent and continuous
- Key issues for operations managers
- Historical evolution of operations management.
Unit 2.Operations Strategy
- Introduction, linkage between corporate, business and operations strategy
- Components of operations strategy
- Manufacturing strat egies
- Service strategies
- Productivity: Concepts, and types.
Unit 3.Aggregate Planning and Inventory Management
- Concept of aggregate planning
- Aggregate planning strategies
- Planning options
- Aggregate planning in services
- Concept and import ance of inventory
- Inventory costs
- Dependent and independent demand
- Inventory systems - continuous and periodical
- Basic economic order quantity (with and without discount).
Unit 4.Quality System
- Introduction to quality
- Concept and historical evolution of total quality management
- Costs of quality
- Quality Control: Introduction, objectives and advantages
- Statistical process control -Control charts- control charts for variable
- JIT and Six Sigma
- Quality Management System: ISO 9000 series
- 7 tools for the quality.
Unit 5.Decision Theory
- Decision making environments
- Decision making under uncertainty: Criterion of maximax, maximin, minimax regret, Laplace and Hurwitz’s
- Decision making under risk: Expected monetary value criterion, Expected opportunity loss criterion
- Marginal analysis.
Unit 6.Linear Programing
- Introduction to linear p rogramming
- Characteristics of Linear programming model, Graphical and simplex method (only two variables)
- Introduction to duality.
Unit 7.Transportation Problem
Introduction, Initial basic feasible solution, Testing optimality condition, Solution of minimization transportation problem (excluding loop formation).
Unit 8.Assignment Problem
Introduction, Solution of minimization and maximization assignment problem.
Unit 9.Game Theory
Introduction, Importance of game theory, Two person zero - sum game, Pure strategies, Games with saddle point, Mixed strategies, Rules of dominance, Solution of Games: Algebraic method only. Class Lecture = 45 hrs. Assessment = 3 hrs.
Suggested Readings:
Adam, E. E., and Jr. R. J. Ebert. Production and Operations Management. New Delhi: Prentice- Hall of India Private Limited. Chase, R.B., F.R. Jacobs, N.J. Aquilano and N.K. Agrawal. Operations Management for Competitive Advantage. New Delhi: Tata McGraw-Hill Publishing Company Ltd. Dahlagaard J. J., Kristensen, K. and G.K. Kanji . Fundamentals of Total Quality Management Process analysis and improvement. London and New York: Taylor and Francis. Frederick S. H., and G. J. Lieberman. Introduction to Operatio ns Research . New York: McGraw-Hill Education. Gaither, N., and G. Frazier. Operations Management. Singapore: Thomson Asia Pvt. Ltd. Krajewski, L. J., and L.P. Ritzman. Operations Management. Delhi: Pearson Education Pvt. Stevenson, W.J. Operations Management. New York: McGraw-Hill Education Ltd. Taha, H. A. Operation Research: An Introduction. England: Pearson Education Ltd.