A logical, step-by-step approach to complex problem-solving Using simple, straightforward examples to present complex mathematical concepts, Introduction to Management Science gives students a strong foundation in how to logically approach decision-making problems. Sample problems are used liberally throughout the text to facilitate the learning process and demonstrate different quantitative techniques.
Management Science presents modeling techniques that are used extensively in the business world and provides a useful framework for problem-solving that students can apply in the workplace. In addition to extensive examples, problem sets, and cases, the 13th Edition incorporates Excel and other software resources, developing students' ability to leverage the technology they will use throughout their careers. By practicing these modelling techniques, students gain a useful framework for problem-solving that they can then apply in the workplace.
This book provides a thorough grounding in management science techniques with a readable presentation style and a wealth of examples drawn from a variety of businesses throughout the world. Students learn the techniques and refine their problem solving skills with realistic problems that continue to set this established leader apart. None of the alternatives is correct.
Which of the following special cases does not require reformulation of the problem in order to obtain a solution? The improvement in the value of the objective function per unit increase in a right-hand side is the a. Chapter 2 - An Introduction to Linear Programming c. As long as the slope of the objective function stays between the slopes of the binding constraints a.
Infeasibility means that the number of solutions to the linear programming models that satisfies all constraints is a. A constraint that does not affect the feasible region is a a. Whenever all the constraints in a linear program are expressed as equalities, the linear program is said to be written in a. A redundant constraint does not affect the optimal solution. A redundant constraint does not affect the feasible region. Recognizing a redundant constraint is easy with the graphical solution method.
At the optimal solution, a redundant constraint will have zero slack. If there is a maximum of 4, hours of labor available per month and ping-pong balls x1 or wiffle balls x2 can be produced per hour of labor, which of the following constraints reflects this situation? In what part s of a linear programming formulation would the decision variables be stated? The three assumptions necessary for a linear programming model to be appropriate include all of the following except a.
A redundant constraint results in a. A variable added to the left-hand side of a less-than-or-equal-to constraint to convert the constraint into an equality is a.
Solve the following system of simultaneous equations. Consider the following linear programming problem Max s. Identify the optimal solution point on your graph. What are the values of X and Y at the optimal solution? The optimal solution occurs at the intersection of constraints 2 and 3. The value of the objective function is Which constraints are binding? Which slack variables are zero? Area III is the feasible region b. Point D is optimal c. Constraints 2 and 3 are binding d.
Find the complete optimal solution to this linear programming problem. Min s. Max s. For the following linear programming problem, determine the optimal solution by the graphical solution method. Are any of the constraints redundant? If yes, then identify the constraint that is redundant.
Chapter 2 - An Introduction to Linear Programming Maxwell Manufacturing makes two models of felt tip marking pens. Requirements for each lot of pens are given below. Fliptop Model 3 5 5. What is the linear programming model for this problem? Find the optimal solution. Will there be excess capacity in any resource? The Sanders Garden Shop mixes two types of grass seed into a blend. Get Introduction to Management Science Books now!
A key goal of fisheries management is to regulate extractive pressure on a resource so as to ensure social, economic and ecological sustainability. This text provides an accessible entry point for students and professionals to management science as developed in fisheries, in order to facilitate uptake of the latest ideas.
Hillier,Mark S. Hillier, published by McGraw-Hill Education which was released on Introduction to Management Science, 3e, offers a unique model approach and integrates the use of Excel. Through this approach students are better able to grasp the essential concepts covered in the course and see their utility.
Each chapter includes a case study that is meant to show the students a. This book aims to provide relevant theoretical frameworks and the latest empirical research findings in Internet of Things IoT in Management Science and Operations Research.
It starts with basic concept and present cases, applications, theory, and potential future. The contributed chapters to the book cover wide array of topics as. Introduction to Management Science. Introduction to Management Science by Bernard W. Sweeney,Thomas Arthur Williams. Stevenson,Ceyhun Ozgur.
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