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651 M3 Problem Set

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Instructions:

Format for Problem Set:

  1. Title page
  2. Write Questions and Answers
  3. Reference page (if needed and add citations for every reference)

Answers to these questions are found in Chapters 6, 7, 10, and 11

 Chapter 6:

  1. What relationship is there between learning curves and productivity measurement?

Learning curve displays the relationship between unit production time and number of units produced and productivity measurement shows the efficiency of production output or input unit.

  1. One manufacturer has seen a typical learning percentage of 90 percent in the firm. It has recently found out that a competitor has a percentage of 85 percent. What do you think about this?

 Chapter 7:

  1. What is a customer order decoupling point? Why is it important?

A key concept in manufacturing processes is the customer order decoupling point which determines where inventory is positioned to allow processes or entities in the supply chain to operate independently.

  1. It has been noted that during World War II Germany made a critical mistake by having its formidable Tiger tanks produced by locomotive manufacturers, while the less formidable U.S. Sherman tank was produced by American car manufacturers. Use the product-process matrix to explain that mistake and its likely result.
  2. Why is it that reducing the number of moves, delays, and storages in a manufacturing process is a good thing? Can they be completely eliminated?

 Chapter 10:

  1. Students arrive at the Administrative Services Office at an average of one every 15 minutes, and their requests take on average 10 minutes to be processed. The service counter is staffed by only one clerk, Judy Gumshoes, who works eight hours per day. Assume Poisson arrivals and exponential service times.
  2. What percentage of time is Judy idle?
  3. How much time, on average, does a student spend waiting in line?
  4. How long is the (waiting) line on average?
  5. What is the probability that an arriving student (just before entering the Administrative Services Office) will find at least one other student waiting in line?

 A cafeteria serving line has a coffee urn from which customers serve themselves. Arrivals at the urn follow a Poisson distribution at the rate of three per minute. In serving themselves, customers take about 15 seconds, exponentially distributed.

  1. How many customers would you expect to see on the average at the coffee urn?
  2. How long would you expect it to take to get a cup of coffee?
  3. What percentage of time is the urn being used?
  4. What is the probability that three or more people are in the cafeteria?
  5. If the cafeteria installs an automatic vendor that dispenses a cup of coffee at a constant time of 15 seconds, how does this change your answers to (a) and (b)?

Chapter 11:

  1. Describe cycle time as it relates to business processes. Why is it important to the management of business processes? How does it relate to concepts like productivity and capacity utilization?
  1. Explain how having more work-in-process inventory can improve the efficiency of a process. How can this be bad?
  1. From your own experiences, compare the process of your favorite bricks and mortar department store and a comparable online retailer. What advantages does each have over the other for the company? How about for you, the customer?

Solution

Title: 651 M3 Problem Set

Pages: 1

Style: APA

Paper Preview

651 M3 Problem Set

  1. What relationship is there between learning curves and productivity measurement?

Learning curve displays the relationship between unit production time and number of units produced and productivity measurement shows the efficiency of production output or input unit.

  1. One manufacturer has seen a typical learning percentage of 90 percent in the firm. It has recently found out that a competitor has a percentage of 85 percent. What do you think about this?

A 90 percent learning rate indicates that the manufacturer’s production efficiency increases every unit by 90 percent assuming all factors constant, while the competitor’s production efficiency due to other factors is at 85 percent. A normal unit should indicate above 90 percent production efficiency.

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