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Operations Research

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Year | 2015-16 | Academic Term | T1☐ T2☐ T3☐ T4☐ T5☐T6☐ |

Functional Areas | OPERATIONS MANAGEMENT | Core ☐ Elective x☐x |

Title | Quantitative Methods II | Abbreviation | QM-II |

Course Coordinator | Prof. RAVI SHANKAR | Teaching Members | |
Course Revision Record Version | Version Date | Recommendation | 1 | 05 Sept 2015 | |

Credits | 3 | Contact Hours | 30 | Learning Hours | 60 | Office Hours | 30 |

Contact Details | 09811033937 | Course eMail | r.s.reaches@gmail.com |
Course Descriptor Course Overview(200 words) | Quantitative Methods-II, focuses on ‘Operations Research’ tools which helps in solving problems in different functional domain of business. It also helps to optimize business operations/processes. The Quantitative Method-II tools act as aids to decision makers to take best decision for effective & efficient use of resources which ultimately lead to profit maximization or to achieve multiple goals or objective. |
Course must be aligned with a strategic objective of the program

Prerequisites/Co-requisites | Quantitative Methods I |

Learning Objectives | To learn basic optimization techniques and their managerial applications with a focus on methodologies such as Linear Programming, Transportation models, Assignment Models, Transhipment Models, Games Theory, Queuing Models, Goal Programming, Integer Programming, Non-linear Programming, Simulation and Decision Theory. |
Learning objectives must be aligned with learning outcomes of the course

Teaching Methods | Modeling, Case study, Software-based solutions |
Refer academic policies and procedures handbook

For Internal Use Only

Session Plan* | SESSION-1: Overview on Operations Research modelling (OR modelling): meaning, definition, steps involved in OR modelling; Session-2: Overview on Linear Programming (LP): LP meaning, various applications, assumptions, modelling of business problems. SESSION-3&4: Linear Programming:- Graphical Methods: formulation, solution, solution interpretations and discussion on special cases of graphical methods; SESSION-5&6: Simplex Methods: formulation, solution, solution interpretations and discussion on special cases of simplex methods; Dual Problem: interpretation of dual solutions and advances of dual solutions; SESSION-7: Assignment Models: formulation, solution, solution interpretations and discussion on special cases; SESSION-8&9: Transportation Models: formulation, solution, solution interpretations and discussion on special cases; SESSION-10: Transshipment Models: formulation, solution, solution interpretations; Sensitivity Analysis: applications, interpretation of ‘reduced costs’, ‘dual prices’ and application of ‘100% rule’. SESSION-11&12: Integer Programming: meaning, definition and managerial applications; SESSION-13: Nonlinear Programming: meaning, definition and managerial applications; SESSION-14&15: Goal Programming: meaning, definition and managerial applications; Simulation: concept and managerial applications; SESSION-16&17: Game Theory: the formulation of Two-Person, Zero-Sum Games, Solving Simple Games, Games with Mixed Strategies; SESSION-18&19: Decision Theory: decision under certainty, uncertainty and risk environment; SESSION-20: Queueing Theory: concept and applications of Queueing Theory. Each topic will be discussed with suitable real-life examples or case studies. The appropriate software such as Excel Solver, LINDO, LINGO, TORA etc., will be introduced. Each session is of one and a half hours. |
Refer academic policies and procedures handbook
*Use separate session plan template if necessary

Text Books | Frederick S. Hillier, Gerald J. Lieberman, B. Nag & P. Basu, Introduction to Operations Research (9th Edition), McGraw Hill, New Delhi |
Refer Institutional policies to procure materials

Notes & Readings | To be Provided |
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Cases | As provided in class |
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Simulations | Not Any |
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Other Reference Books and Materials | Anderson, Sweeney, Williams & Martin: An Introduction to Management Science-Quantitative Approach to Decision Making, 13th Edition, Cengage Learning |
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Evaluation components | End Term Examination: 40%; Mid-term Examination: 20%; Assignment: 20%; Case Study & Presentation: 20% |
Refer academic policies and procedures handbook

Assessment Pattern | Click here to enter text. |
Refer academic policies and procedures handbook

Course Expectation from the students | Timely submission of Assignment, Scheduled presentation of Case study etc., and regular attendance is a must. Students are also expected to use Excel Solver whenever needed. Students should bring calculator, Laptop & Text book in class. |
Refer academic policies and procedures handbook

Academic Standard and Honesty | As per Institute norma. |
Refer Program Specific manuals

Other Relevant Information | NA |
Refer Program Specific manuals

For Internal Use Only
Details Session Plan (Optional) Session | Date | Topics | Readings and Cases | Assignments Due | SESSION-1 | | Overview on Operations Research modelling (OR modelling): meaning, definition, steps involved in OR modelling; | | | SESSION-2 | | Overview on Linear Programming (LP): LP meaning, various applications, assumptions, modelling of business problems. | | | SESSION-3&4 | | Linear Programming:- Graphical Methods: formulation, solution, solution interpretations and discussion on special cases of graphical methods; | | | SESSION-5&6 | | Simplex Methods: formulation, solution, solution interpretations and discussion on special cases of simplex methods; Dual Problem: interpretation of dual solutions and advances of dual solutions; | Case Study/Reading-1 & 2 (To be presented by Gr-1 & 2) | Assignment-1 Submission DueSec. A: 1.3-1, 3.1-2, 3.1-9, 3.2-13.4-3, 3.4-8, 3.4-11Sec. B: 1.3-2, 3.1-3, 3.1-8, 3.4.4, 3.4-9, 3.4-12 | SESSION-7 | | Assignment Models: formulation, solution, solution interpretations and discussion on special cases; | Case Study/Reading-3 (To be presented by Gr-3) | | SESSION-8&9 | | Transportation Models: formulation, solution, solution interpretations and discussion on special cases; | Case Study/Reading-4 & 5 (To be presented by Gr-4 & 5) | | SESSION-10 | | Transshipment Models: formulation, solution, solution interpretations; Sensitivity Analysis: applications, interpretation of ‘reduced costs’, ‘dual prices’ and application of ‘100% rule | Case Study/Reading-6 (To be presented by Gr-6) | | SESSION-11 | | Integer Programming: meaning, definition and managerial applications; | Case Study/Reading-7 (To be presented by Gr-7) | Assignment-2 Submission DueSec. A: 8.1-6, 8.2-1, 8.3-1Sec. B: 8.1-2, 8.2-2, 8.3-2 | SESSION-12 | | Nonlinear Programming: meaning, definition and managerial applications; | Case Study/Reading-8 & 9 (To be presented by Gr-8 &9) | | SESSION-13&14 | | Goal Programming: meaning, definition and managerial applications; Simulation: concept and managerial applications; | Case Study/Reading-10 &11 (To be presented by Gr-10 & 11) | | SESSION-15&16 | | Game Theory: the formulation of Two-Person, Zero-Sum Games, Solving Simple Games, Games with Mixed Strategies; | Case Study/Reading-12 & 13 (To be presented by Gr-12 & 13) | | SESSION-17&18 | | Decision Theory: decision under certainty, uncertainty and risk environment; | Case Study/Reading-14 (To be presented by Gr-14) | | SESSION-19&20 | | Queueing Theory: concept and applications of Queueing Theory. | Case Study/Reading-15 (To be presented by Gr-15) | Assignment-3 Submission DueSec. A: 14.1-1, 14.2-5, 14.4-3, 15.4-2, 15.4-5Sec. B: 14.1-2, 14.2-4, 14.4-4, 15.4-2, 15.4-4 | Case Study/Reading/ Group Id. | Sec. A | Sec. B | 1 | Use of Software for Optimization Problems: Examples, User Guide, Applications (Solver, LINDO, LINGO, AMPL, MPL, OPL, Management Science, etc.) | 2 | Data Envelopment Analysis (DEA): Fundaments and Applications [Using LP Formulations and DEA Solver/Other Software] | 3 | Duality Theory and Sensitivity Analysis (Chapter-6) | 4 | Multi-criterial Decision Making: Tools and Techniques [Other than Goal Programming] | 5 | 3.1 Auto Assembly | 3.2 Waste Management in Mumbai | 6 | 3.3 Cutting cafeteria cost | 3.4 Staffing a call centre | 7 | 3.5 Promoting a breakfast cereal | 4.1 Fabrics and fall sessions | 8 | 4.2 New Frontiers | 4.3 Assigning students to school | 9 | 6.1 Controlling Air Pollution | 6.2 Farm Management | 10 | 8.1 Shipping wood to market | 8.2 Optimal coal linkages fo power plants-Part I | 11 | 8.3 Supply chain of a dairy farm | 11.3 Capacity management on a passenger train of Indian railways | 12 | 11.4 Load management and optimization of in a steel plant | 15.1 Brainy business | 13 | 15.2 Smart steering support | 15.3 Who wants to be a millionaire? | 14 | 17.1 Reducing in-process inventory | 17.2 Design of steel plant ore unloading yard | 15 | 17.3 Queuing quandary | 20.2 Action adventure |

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