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Overview: An introduction to operations research (management science),
quantitative approach to problem solving and decision making. Emphasis is on
linear programming and its application to solving cost, profit and volume
problems; distribution and network problems; and inventory problems.
• To teach the art of management decision making
• To provide students with mathematical tools for quantitative decision making
Specific Outcomes: To be able to:
• properly pose a problem by articulating a clear problem
decision criteria, and identifying constraints.
• solve two- variable linear programming models by graphing the feasibility
region, identifying extreme points, and identifying a variable pair
corresponding to the optimal value of a decision objective.
• demonstrate mastery of the simplex method by manually solving two-variable
linear programming models.
• apply linear programming solvers to the solution of multi -variable financial,
distribution and network, and inventory problems
• produce and interpret sensitivity analyses for the above kinds of problems.
• demonstrate understanding of project scheduling fundamentals by developing
project models and crashing activity times .
My policy is no open laptop computers in class unless otherwise directed.
• Based on tests and final exam, homework, attendance and
• Components: homework (30%), two tests (20% each), final exam (30%).
• Evaluation per the catalog: A(>94), A-(>89), B+(>86), B(>82), B-(>79),
C+(>76), C(>72), C-(>69), D+(>66), D(>62), D-(>59)
• You will never receive a grade lower than what you earn strictly by the
numbers. I won’t take off for poor overall attendance or lack of participation.
• However, outstanding attendance and class participation are necessary in
order for me to consider extending grace when I determine your final course
grade. ( Unlike our Lord ’s grace, mine isn’t free!) But it is my privilege to
award a higher grade than what you earn strictly by the numbers . (See Matt
|1||Introduction and Objectives + Problem Solving/Decision Making||Chap 1|
|2||Review: systems of linear equations + Linear programming (Graph Sol’ns)||Chap 2|
|3||Linear programming ( Graph Sol ’ns)|
|4||Linear programming (Graph Sol’ns)|
|5||Simplex method||Chap 17|
|8||Sensitivity analysis||Chap 3|
|10||Financial applications||Chap 4|
|12||Financial applications + Review|
|14||Distribution and network applications||Chap 6|
|15||Distribution and network applications|
|16||Distribution and network applications|
|17||Distribution and network applications|
|18||Field trip: Walmart Distribution Center, Gas City|
|19||Project scheduling: PERT/CPM||Chap 9|
|20||Project scheduling: PERT/CPM|
|21||Project scheduling: PERT/CPM|
|22||Project scheduling: PERT/CPM + Review|
|24||Inventory models||Chap 10|
|No class: Thanksgiving|
|28||Dynamic programming||Chap 21|
|Dec 8||Final Exam (Tues 12/9 1:00 – 3:00)|