COURSE: MAN 3550: Introduction to Management Science
INSTRUCTOR: Dr. Arup Mukherjee
REQUIRED TEXT:
An Introduction to Management Science:; Anderson; Sweeney and Williams; 2006; {Note: This is a custom edition for the University of West Florida}.
BRING THE TEXT TO CLASS.
BRING THE TEXT TO CLASS.
PREREQUISITES::
1. Man 3025: Management Fundamentals
2. Mac 2233: Calculus with Business Applications
ABOUT THE COURSE:
Managers of contemporary organizations must make decisions in a complex and rapidly changing environment. They are faced with the challenging task of trying to meet competing and ever increasing demands for resources like capital, energy and people. At the same time they find that these very resources are increasingly becoming scarce. How does one allocate resources when there are several needs and limited resources? How does one operate efficiently? How does one procure materials in a cost effective manner? How does one distribute products at minimum cost? How does one plan production to maximize profits or maximize capacity utilization? The fundamental question in all these queries is to do more with less. Management Science or Operations Research is the field of study that enables managers to find answers to these questions. The basic approach is to develop a scientific method to analyze a business decision. The use of a scientific method ensures that the solution obtained is better than any arbitrary trial and error approach that might come to the decision maker's mind. In this course you will learn about several important management science tools that have been extensively applied in industry to bring about improvements in business. Applications are wide spread in business, government, services and 'not-for-profit' firms.
STUDENT LEARNING OUTCOMES:
On successful completion of the course students will be able to:
1. Describe complexities in the real world that necessitates the use of quantitative
models for improved decision making;
2. Develop linear programming models; Solve two variable linear programming
models by the graphical solution procedure;Solve linear programming models with
the help of computer software; Interpret computer solution of a linear programming
problem; Use computer output to support managerial decision making;
3. Develop linear programming models for important application areas in production,
marketing, and finance;
4. Recognize real life scenarios that can be modeled as network problems; Formulate
network models such as transportation models;
5. Describe the need for integer programming; Develop integer programming models;
Develop zero- one integer programming models for decision making scenarios;
INDIRECT OUTCOMES
The learning objectives listed in the previous section are the direct outcomes of this course. In addition to the aforementioned direct outcomes, there are many indirect outcomes achieved when a student completes this course. These indirect outcomes provide the student with critical skills needed for solving complex and difficult decision making problems that are likely to be encountered in their careers. These indirect outcomes are described next.
The most important indirect outcome is the ability to structure real life business problems in a quantitative manner and find the best solution. Students learn that analytical solutions are better than arbitrary trial and error solutions. They develop a basic appreciation about the nature of quantitative models and the relative advantage of using models over trial and error approaches. They get to learn about the power, efficiency, and dependability of models to find the best possible solution to important and complex business problems. The process of creating structure where there is no apparent structure is one of the best training in logical thinking for the students. They get the opportunity to develop the rare skill of 'critical thinking' by applying classroom approaches to a diverse range of business scenarios.
TEACHING METHOD
| a) Midterm | 25% |
| b) Final | 35% |
| c) Quizzes Homework Class work |
40% |
GRADING SCALE:
| A | 94 - 100 | A- | 90 - 93.9 | ||
| B+ | 87 - 89.9 | B | 84 - 86.9 | B- | 80 - 83.9 |
| C+ | 77 - 79.9 | C | 74 - 76.9 | C- | 70 - 73.9 |
| D+ | 67 - 69.9 | D | 60 - 66.9 | F | below 60 |
HOMEWORK GUIDELINES:
RISK PENALTY
In order to be fair to all students, exams (tests or quizzes) are expected to be taken along with the class. If exams are taken at times other than the scheduled time for the class, a 'risk' penalty may be assessed. If the exam is taken later, there is a risk that the student has come to know what was on the exam. If the exam is taken earlier, there is a risk that the exam will leak out. The actual risk penalty assessed will be at the discretion of the instructor and will depend on the circumstances of each case. For quizzes, the risk penalty is expected to be up to 50% of the maximum points for that quiz. For tests (midterm and final), the risk penalty is expected to be up to 30% of the maximum points for that test.
CHAPTER/ TOPICS TO BE COVERED
EXPECTATIONS FOR ACADEMIC CONDUCT/ PLAGIARISM POLICY
As members of the University of West Florida, we commit ourselves to honesty.
As we strive for excellence in performance, integrity – both personal
and institutional – is our most precious asset. Honesty in our academic
work is vital, and we will not knowingly act in ways to erode that integrity.
Accordingly, we pledge not to cheat, nor to tolerate cheating, nor to
plagiarize the work of others. We pledge to share community resources
in ways that are responsible and that comply with established policies
of fairness. Cooperation and competition are means to high achievement
and are encouraged. Indeed, cooperation is expected unless our directive
is to individual performance. We will compete constructively and professionally
for the purpose of stimulating high performance standards. Finally, we
accept adherence to this set of expectations for academic conduct as a
condition of membership in the UWF academic community.