What This Document Is
This document is a completed quiz, specifically Quiz 2, for BUAD 311/311T Operations Management at the University of Southern California, taught by Professor Ashok Srinivasan in Fall 2014. It focuses on the application of linear programming techniques to solve operational problems. The quiz assesses understanding of formulating and interpreting linear programming models, analyzing constraints, and identifying feasible solutions. It’s a worked example, meaning solutions are provided – but are only accessible with purchase.
Why This Document Matters
This resource is incredibly valuable for students currently enrolled in or preparing for Operations Management courses, particularly those covering linear programming. It’s ideal for students seeking to solidify their understanding of how theoretical concepts translate into practical problem-solving. Reviewing a completed quiz can help identify areas where your own approach might differ, and highlight key steps in arriving at correct solutions. It’s particularly useful when preparing for exams or tackling challenging assignments. Students who struggle with translating word problems into mathematical formulations will find this especially helpful as a comparative example.
Common Limitations or Challenges
This document presents a *single* quiz with *specific* problems and constraints. It does not offer a comprehensive range of linear programming problems, nor does it provide detailed explanations of the underlying theory. It’s a solution set, not a teaching tool. Simply reviewing the solutions won’t guarantee understanding; active problem-solving practice is still essential. The context of the course and prior lectures are important for full comprehension. This resource does not include step-by-step explanations of *how* the solutions were derived.
What This Document Provides
* A fully completed quiz on linear programming, covering constraint analysis and optimization.
* A practical application of linear programming concepts to a business scenario involving production planning and environmental regulations.
* An example of how to approach a linear programming problem, including defining decision variables and formulating constraints.
* A sensitivity report from an Excel solver, demonstrating how changes in parameters can affect the optimal solution (values are partially redacted).
* A glimpse into the types of questions and the level of difficulty expected in BUAD 311 at USC.
