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Course Detail

Course Name Operations Research
Course Code 19MNG338
Program B. Tech. in Computer and Communication Engineering
Year Taught 2019


Unit 1

Linear Programming: Formulations – graphical solutions – Simplex Method – Duality, Dual simplex method. Transportation model: Assignment model – Travelling Salesman Problem.

Unit 2

Decision Theory: Decision Trees. Game theory – 2 person zero sum; mixed strategies; 2 x n and m x 2 games. Network Models- Project Networks- CPM / PERT- Project Scheduling – crashing networks and cost considerations- Resource leveling and smoothing – shortest route problem, minimal spanning tree problem, maximal flow problem.

Unit 3

Sequencing model – 2 machines ‘n’ jobs, ‘m’ machines ‘n’ jobs – n jobs 2 machines. Inventory models: deterministic & probabilistic models. Quantity discounts. Selective Inventory Management Queuing models: Poisson arrival and exponential service times. Single server, multi-server. Queues -infinite and finite capacity queues. Simulation –Monte Carlo simulation: simple problems

Lab session

Practicing case problems with excel solver/MatLab/LINGO package

Textbook / References


  • Hillier, F .S. and Lieberman, G .J, ‘Operations Research’, 9e, McGraw Hill, 2010


  • Taha,H.A., ‘Operations Research: an Introduction’, 8e, Prentice HalI, New Delhi, 2008.
  • Ravindran, A., Phillips, D.J., and Solberg, J.J., ‘Operations Research- Principles and Practice’, John Wiley & Sons, 2005.
  • Wagner, H.M., ‘Principles of Operations Research’, Prentice Hall, New Delhi, 1998.
  • Hardley, G.,‘Linear Programming’, Narosa Book Distributors Private Ltd

Evaluation Pattern

Assessment Internal External
Periodical 1 10
Periodical 2 10
*Continuous Assessment (Theory) (CAT) 15
*Continuous Assessment(Lab) (CAL) 30
End Semester 35
*CA – Can be Quizzes, Assignment, Projects, and Reports.

Objectives and Outcomes


Familiarizing the students with quantitative tools and techniques, which are frequently applied in operational decisions

Course Outcomes

  • CO1: Formulate operations research models to optimize resources.
  • CO2: Solve transportation and assignment problems using suitable techniques.
  • CO3: Apply appropriate technique to analyze a project with an objective to optimize resources.
  • CO4: Solve operational problems using decision theory approaches.
  • CO5: Select suitable inventory model for effective utilisation of resources.
  • CO6: Solve Operations Research problems using software package

CO – PO Mapping

CO1  3 2 2 2 2 2 2
CO2 3 2 2 2 2 2 2
CO3 3 2 2 2 2 2 2
CO4 3 2 2 2 2 2 2
CO5 3 2 2 2 2 2 2
CO6 3 2 2 2 2 2 2

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