Handbook of statistical methods in manufacturing

목차 (Table of Contents)

• CONTENTS
• Chapter 1 : Making Statistical Problem Solving Easier by Understanding Basic Statistical Techniques = 1
• How to Think Statistically = 1
• How to Solve Any Statistical Problem = 3
• Reviewing the Basic of Statistical Reasoning = 6
• How to Write a Statistical Report = 6
• More Ways to Summarize Information = 21
• Conclusion = 27
• Chapter 2 : Estimating Production Time and Manufacturing Costs Using Statistical Samples = 29
• The Basic Principles of Sampling = 29
• How to Improve Your Statement About a Population Parameter by Obtaining a Point Estimate = 32
• How to Improve Your Statement About a Population Parameter Using an Interval Estimate = 33
• How to Make an Estimation Statement About Variation in a Population = 38
• How to Make Estimation Statements When Working With Proportions = 40
• Evaluating the Cost Effectiveness of Estimations and Sample Sizes = 41
• Conclusion = 43
• Chapter 3 : Evaluating the Quality Potential of a Process by Conducting Statistical Studies = 45
• How to Perform a Process Capability Study to Determine the Inherent Variation in a Process = 45
• The Benefits of Conducting a Capability Study = 46
• When to Use a Capability Study = 47
• How to Evaluate Process Capability Using Averages, Standard Deviation, Histograms, and Capability Ratios = 50
• An Important Final Step : Taking Action to Promote Continuous Improvement = 56
• An Example of Conducting a Machine Capability Study to Assure the Quality of a Mounting Bracket = 57
• Conclusion = 68
• Chapter 4 : Statistical Process Control Instead of Product Inspection = 71
• The Function and Benefits of SPC = 71
• How to Control and Reduce Defects and Defective Goods Using the p-Bar Chart = 86
• How to Improve the Quality of Purchased Items Using the np-Bar Chart = 92
• How to Strive for Zero Defects Using the c-Bar Chart : An Example Using the Manufacturing Process for Typewriter Keyboards = 94
• How to Reduce Defects Using the u-Bar Chart = 96
• How to Interpret a Control Chart and Use a Reaction Plan to Make an SPC System Profitable = 99
• Conclusion = 103
• Chapter 5 : Using Statistical Methods to Ensure the Quality of Manufacturing Processes = 105
• How to Plan for Quality Before Manufacturing Begins = 105
• How to Audit Blueprint Tolerances to Assure Quality Before Manufacturing = 111
• How to Find Potential Production Problems Before Manufacturing Begins - The Pareto Analysis = 113
• How to Design Sampling Plans for Maximum Information at the Lowest Cost = 116
• How to Assure the Measurement Accuracy of Gauges in the Manufacturing Area Using Repeatability and Reproducibility Studies = 122
• How to Begin the Process of Continuous Improvement by First Reporting the Quality Costs to Management = 125
• How to Find Assignable Causes and Other Sources of Improvement Using a Scattergram = 128
• Conclusion = 132
• Chapter 6 : How to Use Statistics to Predict the Reliability of Products and Processes = 133
• How to Perform Reliability Testing Effectively = 133
• How to Calculate Common Reliability Measures = 135
• Reliability for Processes : How to Predict Breakdowns and When to Schedule Preventive Maintenance = 140
• How to Calculate the Reliability of a Product as a System = 143
• How to Predict the Future Performance of a Product Using Accelerated Testing = 147
• Conclusion = 150
• Chapter 7 : Using Statistical Methods For a Just-in-Time System of Production and Delivery = 151
• How Statistics Help Implement JIT = 152
• Conclusion = 166
• Chapter 8 : How to Improve Production Forecasting Using Statistical Analyses = 167
• Method #1 : Correlation Analysis : How to Predict Daily Production By Calculating the Number of Job Cycles = 167
• Method #2 : Time Series Analysis : How to Predict Production Output Based on the Passage of Time = 176
• Conclusion = 194
• Chapter 9 : How to Conduct Statistical Experiments to Improve Manufacturing Design and Processes = 195
• How to Conduct a Proper Experiment = 196
• How to Experiment on Industrial Problems = 198
• How to Make a Professional Presentation of Experimental Data = 223
• Conclusion = 226
• Chapter 10 : How to Make Manufactured Products Robust Using Taguchi's Philosophy of Engineering = 227
• Taguchi's Background = 227
• Putting the Taguchi Method™ to Work : Making a Power Adaptor Robust = 228
• Highlighting Taguchi's Philosophy of Robust Design Through Parameter Design Experiments : Studying the Customer's Use of a Power Adaptor = 235
• Achieving Robust Products by Testing a Design at Three or More Levels : Making a Heat Treament Oven Robust = 241
• Conclusion = 248
• Chapter 11 : Using Statistical Techniques to Audit a Supplier and the Quality of Purchased Parts = 249
• How to Measure and Track the Cost Performance of a Vendor = 249
• Methods for Evaluating Delivery Accuracy = 252
• How to Conduct a Quality Audit of a Shipment of Supplied Goods : Auditing the Quality of Gas Shock Absorbers = 255
• How to Conduct a Product Quality Audit When Attribute Data is Involved : Auditing the Quality of a Shipment of Bottle Caps = 257
• Examining a Supplier's SPC System to Ensure Continuous Improvement = 259
• Conclusion = 269
• Chapter 12 : How to Use Statistical Analyses to Measure Customer Requirements and Improve Manufacturing Decisions = 271
• How to Identify Your Customers = 271
• How to Examine the Final Customer's Needs Using Focus Groups and Other Customer Survey Methods = 279
• How to Use Statistical Methods for Reporting Survey Results = 282
• Conclusion = 288
• Chapter 13 : How to Increase the Safety of Your Products and Manufacturing Processes Using Statistical Methods = 289
• How to Judge the Safety of Your Plant = 289
• How to Collect and Summarize Safety Statistics : Using Accident and Inj Reports = 290
• Using Statistical Methods to Discover Possible Routes Toward Accident Prevention = 293
• How to Determine Your Company's Liability for Your Products Using Statistical Methods = 298
• Conclusion = 302
• Chapter 14 : Problem Solving Work Teams : How to Join Human Skills and Statistical Methods to Become a World-Class Manufacturer = 303
• The Problem-Solving Cycle - The Key to Merging Statistics with Team Efforts = 303
• How to Identify, Quantify, Compare and Evaluate a Problem Using Statistical Problem-Solving Tools = 305
• Case Study : How a Problem-Solving Work Team Improved the Manufacturability of an Office Desk = 325
• conclusion = 326
• Chapter 15 : How to Use Statistical Methods to Plan and Control Production in an Uncertain Operating Environment = 327
• How to Make a Decision Under Uncertainty Using the Payoff Table : Deciding Whether to Increase Production in Anticipation of a Growing Market = 327
• How to Plan Production When the Risk Involved can be Estimated = 330
• How to Form a Strong Picture of Possible Production Scenarids Using Simulations and the Monte Carlo Technique = 331
• Chapter 16 : How to Create and Deliver a Professional Presentation of Statistical Information = 339
• The Golden Rule of any Presentation : Think of Audience = 339
• The Second Rule : Make Your Case Quickly = 341
• The Third Rule : Keep Your Presentation Short = 342
• How to Communicate Clearly with a Written Statistical Report = 342
• A Written Report on the Results of Testing the Capabilities of Two Machines = 344
• How to Prepare Illustrations for a Professional Presentation = 345
• Conclusion = 357
• Chapter 17 : How to Select a Statistical Software Package = 349
• Conclusion = 357
• Chapter 18 : How to Promote Statistical Thinking Through Cross-Departmental Problem Solving Teams = 359
• How to Use Statistics to Improve Your Daily Operations = 360
• How to Emphasize Which Statistical Methods Could be Applied by Other Departments = 361
• Training - The Key to Promoting Statistical Thinking = 367
• Conclusion = 368
• Recommended Reading = 369
• Appendix = 372
• Index = 389