Bus 660 topic Study guides, Class notes & Summaries

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...

BUS-660: Topic 1 DQ 1 & DQ 2 DQ 1: Apply a business decision model to something you do every day, such as selecting an outfit, ordering lunch, or determining your exercise routine. Be creative in your approach. How did you select the model? Include rationale with support from the readings. DQ 2: Create a decision tree for the scenario you outlined in Topic 1 DQ 1. Attach the decision tree to your response and include insights into how you crafted it. How would you apply this decision-making ex...

BUS 660 Topic 7 DQ 1 and DQ 2 DQ 1: Describe a waiting line situation that you regularly face in your daily life. Explain how you would improve the structure of that system by applying waiting line analysis. DQ 2: What are the economic costs of waiting lines? How might these costs be measured? What decision criteria can be used to justify expanding services to reduce waiting times?

1. Question:Acompanymakestwoproductsfromsteel; onerequires 2tonsofsteelandtheotherrequires3tons.Thereare100tonsofsteelavailabledaily.Aconstraintondaily production could bewrittenas:2x1+3x2≤100. 2. Question:Letx1,x2,andx3be0-1variableswhosevaluesindicatewhethertheprojectsarenotdone(0)oraredone(1).Whichanswerbelowindicatesthatatleasttwooftheprojectsmust bedone? 3. Question:The constraintx1 +x2+x3 +x4 ≤2 meansthattwooutofthefirstfourprojectsmust be selected. 4. Question:Eachpointontheefficie...

Problem 16-03:Grear Tire Company has produced a new tire with an estimated mean lifetime mileage of 36,500 miles. Management also believes that the standard deviation is 5000 miles and that tire mileage is normally distributed. To promote the new tire, Grear has offered to refund some money if the tire fails to reach 30,000 miles before the tire needs to be replaced. Specifically, for tires with a lifetime below 30,000 miles, Grear will refund a customer Si per 100 miles short of 30,000. a. Fo...

Bus 660 - Topic 3 DQ 1 DQ 1: Identify two key strategic decisions made by your current team, department, or organization. How could those decisions have been enhanced by optimization models? Support your rationale with evidence from readings or external research.

Bus 660Topic 5 DQ 1 and DQ 2: DQ 1: Models that pertain to the distribution of a resource within supply chains are often referred to as networks. Distribution among these networks is key to the success of a business while also keeping cost production at a minimum. Discuss at least three ways that linear optimization models can be applied to both physical as well as abstract network problems to increase efficiency in supply chain management. DQ 2: Solving shortest-route problems enables a busin...

Bus 660 - Topic 3 DQ 2 DQ 2: Find a current example of a linear optimization model used in your industry. Describe the industry’s needs, including any unique factors, how the linear optimization model was used, and the problem or challenge it addressed. Would you suggest a different model be used? Why or why not? Support your response with rationale from the assigned readings.

BUS 660 Topic 6 Integer Linear Programming and Advanced Optimization Applications - Homework (v2).docx

BUS 660Topic 2 DQ 1 & DQ 2 DQ 1: Discuss the strategic importance of forecasting at your organization (or in one with which you are familiar). Provide two examples of ways that forecasting could improve organizational processes or strategic decisions. Support your rationale with evidence from the readings or external research. DQ 2: Explain how error measures can help to optimize moving averages, weighted moving averages, and exponential smoothing methods.