TQuantitative Methods – MAT 540 Student Course Guide Prerequisite: MAT 300 Quarter Meeting Days/Time Instructor Instructor Phone Instructor E-mail Instructor Office Hours/Location Academic Office Phone Number Strayer Technical Support INSTRUCTIONAL MATERIAL – Required ( including all mandatory software) ...
Plans –Decisions Using Ms-Excel | 15 | Week 3: Linear Programming, Linear Programming Models: Graphical and Computer Methods | 16 | Week 4: Linear Programming Modeling Applications with Computer Analysis in Excel | 17 | Week 5: Linear Programming and Sensitivity Analysis | 18 | ...
MODULE Linear Programming: The Simplex Method LEARNING OBJECTIVES After completing this chapter, students will be able to: 1. Convert LP constraints to equalities with slack, surplus, and artificial variables. 2. Set up and solve LP problems with simplex tableaus. 3. Interpret the meaning...
Construct the dual problem from the primal problem. Linear Programming: The Simplex Method LEARNING OBJECTIVES After completing this chapter, students will be able to: 1. Convert LP constraints to equalities with slack, surplus, and artificial variables. 2. Set up and solve LP problems with simplex...
uncertainty and make better estimates of what will happen in the future; this is the main purpose of forecasting. Some firms use subjective methods, seat-of-the pants methods, intuition, and experience. There are also several quantitative techniques, moving averages, exponential smoothing, trend projections...
In many practical problems, the decision variables actually make sense only if they have integer values. For example, it is often necessary to assign people, machines, and vehicles to activities in integer quantities. If requiring integer values is the only way in which a problem deviates from a linear...
6 Linear Programming SUPPLEMENT OUTLINE Introduction, 6S-2 Solving LP Models Using Excel, 6S-17 SUPPLEMENT TO CHAPTER LEARNING OBJECTIVES Linear Programming Model, 6S-2 Formulating Some Other Types of Constraints, 6S-3 Sensitivity Analysis, 6S-19 Objective Function Coefficient Changes...
Objection function 7 Constraints 7 Parameters 7 Chapter 3 Linear programming: Computer Solution and Sensitivity Analysis Assignments 7 Slack Variables 7 Surplus Variables 7 Sensitivity Analysis 7 Chapter 4 Linear Programming (LP): Modeling Examples 7 Variables 8 Objective function 8 Constraints 8 ...
The Simplex Method of Linear Programming Tutorial Outline CONVERTING THE CONSTRAINTS TO EQUATIONS SOLVING MINIMIZATION PROBLEMS SETTING UP THE FIRST SIMPLEX TABLEAU KEY TERMS SIMPLEX SOLUTION PROCEDURES SOLVED PROBLEM SUMMARY OF SIMPLEX STEPS FOR MAXIMIZATION PROBLEMS DISCUSSION...
Operational Research? This looks at the characteristics of Operational Research, how you define what OR is and why organisations might use it. It considers the scientific nature of OR and how it helps in dealing with problems involving uncertainty, complexity and conflict. Introduction to Operational...
and Readings. The package was prepared by Pearson Custom Publishing. COMPUTER SOFTWARE: EXCEL MATERIALS REQUIRED CUSTOM TEXT: COMPETITIVE ADVANTAGE FROM OPERATIONS, Pearson Custom Publishing; 2006. COMPUTER SOFTWARE: NYU Software Packages EXCEL HARVARD CASES (Included in Custom...
real world systems by mathematical models together with the use of quantitative methods (Algorithms) for solving such models, with a view of optimising. - (J.E Beasley) “The attack of modern science on complex problems arising in the direction and management of large systems of men, machines, materials...
REFINNING Modern optimization techniques have challenged organizations to rethink the way they conduct business both internally and externally, i.e. how efficiently and effectively their entire supply chain is managed. Supply Chain Management (SCM) is one such business function that has benefited substantially...
LOGIC WHAT IS FUZZY LOGIC? In this context, FL is a problem-solving control system methodology that lends itself to implementation in systems ranging from simple, small, embedded micro-controllers to large, networked, multi-channel PC or workstation-based data acquisition and control systems. It can be implemented...
Management science methods J.E. Beasley MN3032, 2790032 2011 Undergraduate study in Economics, Management, Finance and the Social Sciences This subject guide is for a Level 3 course (also known as a ‘300 course’) offered as part of the University of London International Programmes in Economics...
and determine the optimum solution. formulate an LP model to solve for the optimal product mix which maximises profits, or for cost minimisation problems to minimise costs. solve 2 variable problems graphically. use a spreadsheet to solve LP problems with any number of variables. interpret the sensitivity...
prices, and sales volumes. Changing one of these essential components in the sales mix will cause changes in other components. Focuses on analyzing how volume, cost, proﬁt helps in predicting future conditions (planning) as well as in explaining, evaluating, and acting on results (controlling). Before...
........................... 6 LINEAR PROGRAMMING ................................................................................ 11 3.1 FORMULATING LP............................................................................................... 13 Giapetto Example ....................................
Introduction: “The 1990s have seen a dramatic change in the way that we do business. Rapid advances in technology and increasing regulatory freedom have changed the rules of competition. Companies are now competing globally and traditional barriers between industries are breaking down. To cope with...
the variables is called a Linear programming problem (LPP). Introduction The mathematical models which tells to optimise (minimize or maximise) the objective function Z subject to certain condition on the variables is called a Linear programming problem (LPP). During World War II, the military...