Operations Management (Comp. Instructor's Edition)
Operations Management (Comp. Instructor's Edition)
13th Edition
ISBN: 9781259948237
Author: Stevenson
Publisher: MCG
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Chapter 7.S, Problem 2DRQ
Summary Introduction

To determine: The circumstances under which a manager might prefer a learning rate approximate to 100 percent.

Introduction: Learning curve is referred as the cost curve, experience curve, efficiency curve or productivity curve. The leaving curve gives information about the cost, efficiency, productivity and performance of an organization.

In general learning curve gives the relationship between the cost and output generated for a period of time. Learning curve represents the repetitive tasks of an employer or a worker.

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Refer to Table S6.1 - Factors for Computing Control Chart Limits (3 sigma) for this problem. Sampling 4 pieces of precision-cut wire (to be used in computer assembly) every hour for the past 24 hours has produced the following results: Hour R Hour X R Hour X R Hour X R 1 3.25" 0.71" 7 3.15" 0.58" 13 3.11" 0.85" 19 4.51" 1.56" 2 3.20 1.18 8 2.65 1.08 14 2.83 1.31 20 2.79 1.14 3 3.12 1.38 9 15 4. 3.39 1.31 10 5 2.97 1.17 6 2.76 0.32 3.02 0.71 3.12 1.01 2.75 1.33 16 2.74 0.50 22 11 2.73 1.17 17 2.76 1.43 23 12 2.87 0.45 18 2.64 1.24 21 2.75 1.03 3.18 0.46 2.94 1.53 24 2.54 0.97 Based on the sampling done, the control limits for 3-sigma x chart are (round all intermediate calculations to three decimal places before proceeding with further calculations): Upper Control Limit (UCL) = inches (round your response to three decimal places). Lower Control Limit (LCL) = inches (round your response to three decimal places). Based on the x-chart, the wire cutting process has been The control limits…
Choose a specific cars company. E.g Toyota, Volkswagen, Hyundai, Mercedes-Benz, BMW, Honda, Ford, Audi, Tesla Define a list of required machinery, equipment, workstations, offices, rest areas, materials, etc. Develop and define the location of machinery, equipment, workstations, offices, rest areas, materials. Make the distribution in the manufacturing facility the most efficient way possible. Develop a process distribution for one specific product. Explain why you consider this is the most efficient distribution for this specific manufacturing facility. demonstrate the benefits of optimizing a production line with the best distribution of its equipment and spaces. To be more productive and profitable.
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Chapter 7 Solutions

Operations Management (Comp. Instructor's Edition)

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