Presentation is loading. Please wait.

Presentation is loading. Please wait.

Anureet Saxena, TSoB Mathematical Models for Consulting Anureet Saxena OR/ACO PhD Student, Tepper School of Business, Carnegie Mellon University, Pittsburgh,

Similar presentations


Presentation on theme: "Anureet Saxena, TSoB Mathematical Models for Consulting Anureet Saxena OR/ACO PhD Student, Tepper School of Business, Carnegie Mellon University, Pittsburgh,"— Presentation transcript:

1 Anureet Saxena, TSoB Mathematical Models for Consulting Anureet Saxena OR/ACO PhD Student, Tepper School of Business, Carnegie Mellon University, Pittsburgh, USA.

2 Anureet Saxena, TSoB Why Mathematics?

3 Anureet Saxena, TSoB Why Mathematics?

4 Anureet Saxena, TSoB Why Mathematics?

5 Anureet Saxena, TSoB Why Mathematics?

6 Anureet Saxena, TSoB Why Mathematics?

7 Anureet Saxena, TSoB Why Mathematics?

8 Anureet Saxena, TSoB Why Mathematics?

9 Anureet Saxena, TSoB Why Mathematics?

10 Anureet Saxena, TSoB Why Mathematics?

11 Anureet Saxena, TSoB Why Mathematics?

12 Anureet Saxena, TSoB Why Mathematics?

13 Anureet Saxena, TSoB Why Mathematics?

14 Anureet Saxena, TSoB Why Mathematics?

15 Anureet Saxena, TSoB Why Mathematics?

16 Anureet Saxena, TSoB Why Mathematics?

17 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem

18 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem

19 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem

20 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem

21 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem

22 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem

23 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem Resource Limitations Time Constraints Union Policy Constraints Tariff Restrictions Globalization Threats

24 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem Resource Limitations Time Constraints Union Policy Constraints Tariff Restrictions Globalization Threats Objective Mathematical Optimization Problem

25 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem Resource Limitations Time Constraints Union Policy Constraints Tariff Restrictions Globalization Threats Objective Mathematical Optimization Problem

26 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem Resource Limitations Time Constraints Union Policy Constraints Tariff Restrictions Globalization Threats Objective Mathematical Optimization Problem

27 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem Resource Limitations Time Constraints Union Policy Constraints Tariff Restrictions Globalization Threats Objective Mathematical Optimization Problem

28 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem Resource Limitations Time Constraints Union Policy Constraints Tariff Restrictions Globalization Threats Objective Mathematical Optimization Problem

29 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem Resource Limitations Time Constraints Union Policy Constraints Tariff Restrictions Globalization Threats Objective Mathematical Optimization Problem

30 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem Resource Limitations Time Constraints Union Policy Constraints Tariff Restrictions Globalization Threats Objective Mathematical Optimization Problem

31 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem Resource Limitations Time Constraints Union Policy Constraints Tariff Restrictions Globalization Threats Objective Mathematical Optimization Problem Objectivity Analysis Simulation State-of-art hi-tech Versatility

32 Anureet Saxena, TSoB Mathematical Modeling Subjective Complex Real-World Problem Resource Limitations Time Constraints Union Policy Constraints Tariff Restrictions Globalization Threats Objective Mathematical Optimization Problem Objectivity Analysis Simulation State-of-art hi-tech Versatility

33 Anureet Saxena, TSoB Role of Consultants Consultants work at the interface of academic and corporate world assisting in the flow of information, knowledge and technology.

34 Anureet Saxena, TSoB Evolution of Consulting Services

35 Anureet Saxena, TSoB Evolution of Consulting Services Increase in Organizational, Business and Industrial Process’ Complexity

36 Anureet Saxena, TSoB Evolution of Consulting Services Technological Advances

37 Anureet Saxena, TSoB Evolution of Consulting Services Increasing Importance of Technology in Businesses

38 Anureet Saxena, TSoB Evolution of Consulting Services Increase in Organizational, Business and Industrial Process’ Complexity Technological Advances Increasing Importance of Technology in Businesses Sustaining Competitive advantages ? Effects of Globalization Need for Robust Business Processes

39 Anureet Saxena, TSoB Course Objectives Introduction to Mathematical Models –Linear Programming Models –Network Models –Integer Programming Models –Non-Linear Programming Models

40 Anureet Saxena, TSoB Course Objectives Introduction to Mathematical Models Introduction to Mathematical Analysis Techniques –Sensitivity Analysis –Regression Analysis –Discriminant Analysis –Time Series Forecasting –Simulation

41 Anureet Saxena, TSoB Course Objectives Introduction to Mathematical Models Introduction to Mathematical Analysis Techniques First Hand Experience of Design and Modeling –Weekly exercises –Extensive Case Study at the end of each chapter –Final Course Project

42 Anureet Saxena, TSoB Course Objectives Introduction to Mathematical Models Introduction to Mathematical Analysis Techniques First Hand Experience of Design and Modeling Resume Value

43 Anureet Saxena, TSoB Course Material & Requirements Spreadsheet Modeling and Decision Analysis, 4 th Edition by C.T. Ragsdale. Lecture Slides available on blackboard. Laptops in Class and access to Microsoft Excell. Reading Assignments: –Case Studies distributed in class –Publications from Interfaces Journal –Wall-Street Journal

44 Anureet Saxena, TSoB Course Performance Evaluation Weekly assignments –Assignment assigned anytime during the week would be due on Monday of the next week. –Mode of submission to be announced each week. Pop-Quizes – avg 3 per 4 weeks Periodic Case Studies Mid Term Exam – open book & notes, but no laptops. Course Project – in teams of sizes between 3 and 4 No Final Exam

45 Anureet Saxena, TSoB Office Hours Appointment for office hours only through . Send to with MMC Office Hours

46 Anureet Saxena, TSoB Miscellaneous Policy on Cheating –The Carnegie Mellon code of honesty applies throughout the course. Class Participation –Expected from every student –Applied Course – scope for interesting discussions and debates –Improves quality of teaching and understanding –Avoids boredom and monotonicity

47 Anureet Saxena, TSoB Questions, Queries and Doubts?

48 Anureet Saxena, TSoB Thank You


Download ppt "Anureet Saxena, TSoB Mathematical Models for Consulting Anureet Saxena OR/ACO PhD Student, Tepper School of Business, Carnegie Mellon University, Pittsburgh,"

Similar presentations


Ads by Google