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c) Choose the correct Pareto chart for the type of defects that have occurred. O A. 50- 40- 30- 20 10- 0 Number of defects A B C D A: Incorrect bill of lading B: Incorrect truckload C: Damaged product D: Trucks late O B. 50- 40- 30- 20- 10- 0- Number of defects C A B A: Incorrect truckload B: Incorrect bill of lading C: Trucks late D: Damaged product D O C. 50- 40- 30- 20- 10- 0- Number of defects A B C D A: Incorrect truckload B: Incorrect bill of lading C: Damaged product D: Trucks late D. Number of defects 507 40- 30- 20- 10- 0 A B C D A: Incorrect bill of lading B: Incorrect truckload C: Trucks late D: Damaged product

c) Choose the correct Pareto chart for the type of defects that have occurred. O A. 50- 40- 30- 20 10- 0 Number of defects A B C D A: Incorrect bill of lading B: Incorrect truckload C: Damaged product D: Trucks late O B. 50- 40- 30- 20- 10- 0- Number of defects C A B A: Incorrect truckload B: Incorrect bill of lading C: Trucks late D: Damaged product D O C. 50- 40- 30- 20- 10- 0- Number of defects A B C D A: Incorrect truckload B: Incorrect bill of lading C: Damaged product D: Trucks late D. Number of defects 507 40- 30- 20- 10- 0 A B C D A: Incorrect bill of lading B: Incorrect truckload C: Trucks late D: Damaged product

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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The image presents a question and four options of Pareto charts, asking which one correctly represents the types of defects that have occurred. Each chart (labeled A, B, C, and D) includes: - A title: "Number of defects" - A y-axis labeled from 0 to 50 indicating the number of defects. - Four categories (A, B, C, D) on the x-axis representing different defect types. These categories are color-coded in each chart: - Blue for category A - Red for category B - Green for category C - Yellow for category D The labels for each category are: - Chart A: - A: Incorrect bill of lading - B: Incorrect truckload - C: Damaged product - D: Trucks late - Chart B: - A: Incorrect truckload - B: Incorrect bill of lading - C: Trucks late - D: Damaged product - Chart C: - A: Incorrect truckload - B: Incorrect bill of lading - C: Damaged product - D: Trucks late - Chart D: - A: Incorrect bill of lading - B: Incorrect truckload - C: Trucks late - D: Damaged product Each chart consists of four bars with heights corresponding to the number of defects for each category. The correct choice should follow the principle of the Pareto chart, typically displaying the defects in descending order of frequency, highlighting the most significant factors.
Transcribed Image Text:The image presents a question and four options of Pareto charts, asking which one correctly represents the types of defects that have occurred. Each chart (labeled A, B, C, and D) includes: - A title: "Number of defects" - A y-axis labeled from 0 to 50 indicating the number of defects. - Four categories (A, B, C, D) on the x-axis representing different defect types. These categories are color-coded in each chart: - Blue for category A - Red for category B - Green for category C - Yellow for category D The labels for each category are: - Chart A: - A: Incorrect bill of lading - B: Incorrect truckload - C: Damaged product - D: Trucks late - Chart B: - A: Incorrect truckload - B: Incorrect bill of lading - C: Trucks late - D: Damaged product - Chart C: - A: Incorrect truckload - B: Incorrect bill of lading - C: Damaged product - D: Trucks late - Chart D: - A: Incorrect bill of lading - B: Incorrect truckload - C: Trucks late - D: Damaged product Each chart consists of four bars with heights corresponding to the number of defects for each category. The correct choice should follow the principle of the Pareto chart, typically displaying the defects in descending order of frequency, highlighting the most significant factors.
**Boston Electric Generators Shipment Quality Analysis** Boston Electric Generators has encountered numerous complaints from its key customer, Home Station, regarding the quality of its home generator shipments. In response, Daniel Shimshak, the plant manager, began gathering data on shipment defects to better understand and address the issues. He initiated the use of a defect reporting form by drivers upon reaching customer stores. The following table summarizes defect data collected over an eight-week period, based on the first 285 shipments: | **Week** | **No. of Shipments** | **No. of Shipments with Defects** | **Reason for Defective Shipment** | **Incorrect Bill of Lading** | **Incorrect Truckload** | **Damaged Product** | **Trucks Late** | |----------|----------------------|---------------------------------|----------------------------------|-----------------------------|------------------------|--------------------|------------| | 1 | 23 | 10 | 4 | 4 | 2 | 0 | | 2 | 31 | 11 | 1 | 5 | 1 | 4 | | 3 | 30 | 11 | 3 | 5 | 2 | 1 | | 4 | 37 | 12 | 4 | 4 | 1 | 3 | | 5 | 35 | 12 | 4 | 5 | 2 | 1 | | 6 | 42 | 14 | 5 | 6 | 3 | 0 | | 7 | 43 | 15 | 4 | 6 | 4 | 1 | | 8 | 44 | 16 | 4 | 8 | 2 | 2 | ### Key Observations: - The number of shipments and defects varies weekly, with a trend towards increasing defects over the eight weeks. - The primary reasons for shipment defects include incorrect bills of lading, incorrect truckloads, damaged products, and late trucks. - Incorrect truckloads and billing issues are recurring problems across the weeks. This analysis provides a foundation for troubleshooting and enhancing shipment processes to improve customer satisfaction. *Note: This exercise contains only part c.*
Transcribed Image Text:**Boston Electric Generators Shipment Quality Analysis** Boston Electric Generators has encountered numerous complaints from its key customer, Home Station, regarding the quality of its home generator shipments. In response, Daniel Shimshak, the plant manager, began gathering data on shipment defects to better understand and address the issues. He initiated the use of a defect reporting form by drivers upon reaching customer stores. The following table summarizes defect data collected over an eight-week period, based on the first 285 shipments: | **Week** | **No. of Shipments** | **No. of Shipments with Defects** | **Reason for Defective Shipment** | **Incorrect Bill of Lading** | **Incorrect Truckload** | **Damaged Product** | **Trucks Late** | |----------|----------------------|---------------------------------|----------------------------------|-----------------------------|------------------------|--------------------|------------| | 1 | 23 | 10 | 4 | 4 | 2 | 0 | | 2 | 31 | 11 | 1 | 5 | 1 | 4 | | 3 | 30 | 11 | 3 | 5 | 2 | 1 | | 4 | 37 | 12 | 4 | 4 | 1 | 3 | | 5 | 35 | 12 | 4 | 5 | 2 | 1 | | 6 | 42 | 14 | 5 | 6 | 3 | 0 | | 7 | 43 | 15 | 4 | 6 | 4 | 1 | | 8 | 44 | 16 | 4 | 8 | 2 | 2 | ### Key Observations: - The number of shipments and defects varies weekly, with a trend towards increasing defects over the eight weeks. - The primary reasons for shipment defects include incorrect bills of lading, incorrect truckloads, damaged products, and late trucks. - Incorrect truckloads and billing issues are recurring problems across the weeks. This analysis provides a foundation for troubleshooting and enhancing shipment processes to improve customer satisfaction. *Note: This exercise contains only part c.*
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