LECTURE INTRODUCTION TO MANAGEMENT SCIENCE WITH SPREADSHEETS: CHAPTER 6 - STEVENSON, OZGUR

intermediate nodes as transshipment points for temporary storage of topsoil. The revised diagram of the transshipment problem is given in Figure 6-3.
Table 6–2
Table 6–2 Cost of Shipping One Unit from the Farms to Warehouses Cost of Shipping One Unit from the Farms <[r]

Chapter 10 Multicriteria decision - Making models, after completing this chapter, you should be able to: Describe the type of problems that goal programming is designed to handle, describe the similarities and differences between goal programming and linear programming models, formulate goal program[r]

Chapter 7 - Supplement Branch and bound method of solving integer programming problems, after completing this chapter, you should be able to: Use the branch and bound method to solve integer programming problems, use the enumeration method to solve 0–1 integer programming problems.

Chapter 4 - Supplement Linear programming: The simplex method, after completing this chapter, you should be able to: Explain the ways in which the simplex method is superior to the graphical method for solving linear programming problems, solve small maximization problems manually using the simplex[r]

Chapter 14 Simulation, after completing this chapter, you should be able to: Explain what the term simulation means and how simulation differs from analytical techniques; explain the difference between discrete and continuous simulations, between fixed-interval and next-event simulations, and betwee[r]

Chapter 13 Waiting-line models, after completing this chapter, you should be able to: Explain why waiting lines can occur in service systems, identify typical goals for designing of service systems with respect to waiting, read the description of the queuing problem and identify the appropriate queu[r]

Chapter 12 Decision theory, after completing this chapter, you should be able to: Outline the characteristics of a decision theory approach to decision making; describe and give examples of decisions under certainty, risk, and complete uncertainty; make decisions using maximin, maximax, minimax regr[r]

Chapter 9 - Supplement Mini review of differential arithmetic, after completing this chapter, you should be able to: Differentiate basic algebraic functions, find the optimal values of the decision variables and the objective function in problems that involve two decision variables and one inequalit[r]

Chapter 9 - Nonlinear Programming. After completing this chapter, you should be able to: Explain the difference between optimization problems that can be solved using linear programming methods and those that require nonlinear programming or calculus-based methods; find the optimal values of the dec[r]

Chapter 7 Integer programming, after completing this chapter, you should be able to: Tell how integer programming problems differ from general linear programming problems; explain the difference among pure, mixed, and 0–1 integer programming problems; formulate and use Excel to solve integer program[r]

Chapter 5 Linear programming: Sensitivity analysis and duality, after completing this chapter, you should be able to: Explain how sensitivity analysis can be useful to a decision maker, explain why it can be useful for a decision maker to extend the analysis of a linear programming problem beyond de[r]

Chapter 4 Applications and solutions of linear programming, after completing this chapter, you should be able to: Formulate linear programming problems with different objectives, set up constraints that have unique structures, translate statements into constraint formulas, utilize excel to solve a v[r]

Chapter 3 Linear programming: basic concepts and graphical solution, after completing this chapter, you should be able to: Explain what is meant by the terms constrained optimization and linear programming, list the components and the assumptions of linear programming and briefly explain each, name[r]

Chapter 1 Introduction to management science, modeling, and excel spreadsheets, after completing this chapter, you should be able to: Describe the importance of management science, describe the advantages of a quantitative approach to problem solving, list some of the applications and use of managem[r]

Chapter 6 - Supplement Transportation and assignment solution procedures, after completing this chapter, you should be able to: Use the transportation method to solve problems manually, deal with special cases in solving transportation problems, use the assignment (Hungarian) method to solve problem[r]

Example 8-1
Example 8-1
Labeling Procedure
A label is developed for each node. The labels consist of two numbers separated by a comma: The first number refers to the distance from Node 1 to the labeled node along a certain path, while the second number refers to the nod[r]

5. A solution that satisfies all the constraints of a linear programming problem except the nonnegativityconstraints is calledA. optimal.B. feasible.C. infeasible.D. semi-feasible.6. SlackA. is the difference between the left and right sides of a constraint.B. is the amount by which the left[r]

employer (or your professor) has plopped you in front of a computer withMATLAB and told you to learn how to use it, then you’ll find the book par-ticularly useful. If you are teaching or taking a course in which you want touse MATLAB as a tool to explore another subject — whether[r]

Organizational PracticesLeadership, Mission statement, Effective operatingprocedures, Staff support, TrainingYields: What is important and what is to beaccomplishedQuality PrinciplesCustomer focus, Continuous improvement, Benchmarking,Just-in-time, Tools of TQMYields: How to do what is[r]

C Miji jij= −+( )1where Mij is the determinant of the smaller matrix obtained byeliminating the ith row and jth column of A.Thus, the inverse of A can be determined byAAC−=11detTWe can show that ( )AB B A− − −=1 1 1.Lecture Notes: Introduction to Finite Element Method Chapter[r]