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The purpose of this exercise is to assess quality problems facing a production facility. The manager has hired you to help the production team. Your
The purpose of this exercise is to assess quality problems facing a production facility. The manager has hired you to help the production team. Your task is to determine what techniques to recommend and what data might be needed to address the quality issues. You have been hired by m&ms to address a quality problem. With Halloween just around the corner, production is in high gear for peanut m&ms Most of the process is automated with the packages getting a mix of colors of candies. Each bag should contain ounces of candy; each candy is about onehalf ounce. The mix in each bag should be approximately red, orange, yellow, blue, green, and brown. Recently, the company has received customer complaints along two lines: Many are complaining that the bags do not appear full and believe that they are not getting a fair measure for the money they are paying, but no one has verified this. Several customers have complained about too many green ones in the package. Some have even reported counting the total number of candies and the number of green ones in a package. No one has ever complained about too few green ones. Diane, the plant manager has been given copies of the complaint letters and the assignment to fix the problem. She has hired you to help her. She has decided his first step is to determine if there really is a problem with the process. Diane needs to implement lessons from Statistical Quality Control from Operations Management. You need to figure out what information you need, how to analyze it and how to create a system to monitor the quality of the product to assure that these customer complaints do not arise in the future. At first, you were not sure whether to count the m&ms weigh them, or use some other measure. After giving it more thought, you decided to take random samples of bags throughout the day from each of five production lines and use their weights to monitor a fair measure. The problem of too many green ones is a bit more difficult to formulate. Perhaps the green ones could be termed defects but then you would have to say that each bag should contain about defects This wouldn't sound right in a report to the management. A better approach would be to say that since the bag should contain about m&ms and of those should be green, any bag containing or green ones would be a good bag. Therefore, if a bag contained less than or more than green ones, the bag would be considered bad or defective with respect to the product specifications. You must determine if they need a pchart, an xbar chart, an Rchart, or a cchart. TOO LITTLE CANDY PROBLEM FAIR MEASURE Data: Bag Line Sample Line Sample Line Sample Line Sample Line Sample What kind of chart or charts does the Team need to analyze this problem? Explain why you chose the chart or charts. Specifically, what information will the Team need to construct the charts and how will the Team gather it Explain the calculations the Team will need to make including formulas and tables needed to construct the charts After the Team has completed the charts what should the team do over the next week or so TOO MANY GREEN ONES PROBLEM Data: Bag Line Sample Line Sample Line Sample Line Sample Line Sample Should the Team use the same or different type of charts to analyze this problem? Explain why. Specifically, what information will the Team need to construct the charts for this problem and how will they gather it Explain the calculations the Team will need to make including formulas and tables he will need to construct the charts After the Team has completed the charts what should the Team do over the next week or so
The purpose of this exercise is to assess quality problems facing a production facility. The manager has hired you to help the production team. Your task is to determine what techniques to recommend and what data might be needed to address the quality issues.
You have been hired by m&ms to address a quality problem. With Halloween just around the corner, production is in high gear for peanut m&ms Most of the process is automated with the packages getting a mix of colors of candies. Each bag should contain ounces of candy; each candy is about onehalf ounce. The mix in each bag should be approximately red, orange, yellow, blue, green, and brown.
Recently, the company has received customer complaints along two lines:
Many are complaining that the bags do not appear full and believe that they are not getting a fair measure for the money they are paying, but no one has verified this.
Several customers have complained about too many green ones in the package. Some have even reported counting the total number of candies and the number of green ones in a package. No one has ever complained about too few green ones.
Diane, the plant manager has been given copies of the complaint letters and the assignment to fix the problem. She has hired you to help her. She has decided his first step is to determine if there really is a problem with the process. Diane needs to implement lessons from Statistical Quality Control from Operations Management.
You need to figure out what information you need, how to analyze it and how to create a system to monitor the quality of the product to assure that these customer complaints do not arise in the future. At first, you were not sure whether to count the m&ms weigh them, or use some other measure. After giving it more thought, you decided to take random samples of bags throughout the day from each of five production lines and use their weights to monitor a fair measure.
The problem of too many green ones is a bit more difficult to formulate. Perhaps the green ones could be termed defects but then you would have to say that each bag should contain about defects This wouldn't sound right in a report to the management. A better approach would be to say that since the bag should contain about m&ms and of those should be green, any bag containing or green ones would be a good bag. Therefore, if a bag contained less than or more than green ones, the bag would be considered bad or defective with respect to the product specifications.
You must determine if they need a pchart, an xbar chart, an Rchart, or a cchart. TOO LITTLE CANDY PROBLEM FAIR MEASURE
Data:
Bag Line Sample Line Sample Line Sample Line Sample Line Sample
What kind of chart or charts does the Team need to analyze this problem? Explain why you chose the chart or charts.
Specifically, what information will the Team need to construct the charts and how will the Team gather it
Explain the calculations the Team will need to make including formulas and tables needed to construct the charts
After the Team has completed the charts what should the team do over the next week or so TOO MANY GREEN ONES PROBLEM
Data:
Bag Line Sample Line Sample Line Sample Line Sample Line Sample
Should the Team use the same or different type of charts to analyze this problem? Explain why.
Specifically, what information will the Team need to construct the charts for this problem and how will they gather it
Explain the calculations the Team will need to make including formulas and tables he will need to construct the charts
After the Team has completed the charts what should the Team do over the next week or so
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