Bus 660 topic 4 Study guides, Class notes & Summaries

BUS 660 Topic 4 Linear Programming Applications in Marketing, Finance, and Marketing Management

BUS 660 Topic 4 Midterm Exam (Summer Term)

1. Question:Which of the methods for decision making best protects the decision maker from undesirable results? 2. Question:If there is a maximum of 4,000 hours of labor available per month and 300 ping-pong balls (xi) or 125 wiffle balls (x?) can be produced per hour of labor, which of the following constraints reflects this situation? 3. Question:Problem 4-05 (Algorithmic) In American football, touchdowns are worth 6 points. After scoring a touchdown, the scoring team may subsequently attemp...

1. Question:Which of the methods for decision making best protects the decision maker from undesirable results? 2. Question:If there is a maximum of 4,000 hours of labor available per month and 300 ping-pong balls (xi) or 125 wiffle balls (x?) can be produced per hour of labor, which of the following constraints reflects this situation? 3. Question:Problem 4-05 (Algorithmic) In American football, touchdowns are worth 6 points. After scoring a touchdown, the scoring team may subsequently attemp...

1. Question:A posterior probability associated with sample information is of the form 2. Question:When production volume exceeds the breakeven point, we can expected 3. Question:Which of the following exponential smoothing constant values puts the same weight on the most recent time series value as does a 5-period miming average? 4. Question:The decision variables of a model are also known as the 5. Question:An experiment consists of tossing 4 coins successively. The number of sample poi...

1. Question:A posterior probability associated with sample information is of the form 2. Question:When production volume exceeds the breakeven point, we can expected 3. Question:Which of the following exponential smoothing constant values puts the same weight on the most recent time series value as does a 5-period miming average? 4. Question:The decision variables of a model are also known as the 5. Question:An experiment consists of tossing 4 coins successively. The number of sample poi...

1. Question:Which of the methods for decision making best protects the decision maker from undesirable results? 2. Question:If there is a maximum of 4,000 hours of labor available per month and 300 ping-pong balls (xi) or 125 wiffle balls (x?) can be produced per hour of labor, which of the following constraints reflects this situation? 3. Question:Problem 4-05 (Algorithmic) In American football, touchdowns are worth 6 points. After scoring a touchdown, the scoring team may subsequently attemp...

1. Question:A posterior probability associated with sample information is of the form 2. Question:When production volume exceeds the breakeven point, we can expected 3. Question:Which of the following exponential smoothing constant values puts the same weight on the most recent time series value as does a 5-period miming average? 4. Question:The decision variables of a model are also known as the 5. Question:An experiment consists of tossing 4 coins successively. The number of sample poi...

1. Question:A posterior probability associated with sample information is of the form 2. Question:When production volume exceeds the breakeven point, we can expected 3. Question:Which of the following exponential smoothing constant values puts the same weight on the most recent time series value as does a 5-period miming average? 4. Question:The decision variables of a model are also known as the 5. Question:An experiment consists of tossing 4 coins successively. The number of sample poi...

Topic 4 DQ 1 and DQ 2 BUS 600 DQ 1: Describe workforce scheduling, blending, and logistics problems facing your current organization or industry. What is being optimized in each of your examples and why? Which linear optimization techniques could be applied to the examples you identified? Support your response with rationale from the readings. DQ 2:Discuss how your organization could use an operations management linear programming application to solve a problem or improve a business process.