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DTIC ADA373267: Optimization of Fit for Mass Customized Apparel Ordering Using Fit Preference and Self Measurement. PDF

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Preview DTIC ADA373267: Optimization of Fit for Mass Customized Apparel Ordering Using Fit Preference and Self Measurement.

OPTIMIZATION OF FIT FOR MASS CUSTOMIZED APPAREL ORDERING USING FIT PREFERENCE AND SELF MEASUREMENT A Thesis Presented to the Faculty of the Graduate School of Cornell University in Partial Fulfillment of the Requirements for the Degree of Master of Science DISTRIBUTION STATEMENT A Approved for Public Release Distribution Unlimited by Sean Frederick Ahrens January 2000 © 2000 Sean Frederick Ahrens ABSTRACT Mass customized apparel production holds great promise for revitalizing garment manufacturing in this country. Improved production processes like flexible manufacturing, Computer Assisted Design (CAD), Computer Assisted Manufacturing (CAM), and single-ply cutting have allowed customized, single garment production runs to become cost effective. In order for firms in the apparel industry to successfully implement this promising new production program, ordering methodologies must be established that provide customized garments with acceptable fit for the consumer. My first hypothesis is that the inclusion of fit preference queries in an apparel ordering model will improve the accuracy of size predictions. My second hypothesis is that these fit preference queries combined with an optimized method of self- measurement have the greatest potential to predict accurate garment sizes. This study is designed to evaluate the effectiveness of such ordering models using men's casual shorts as the primary test garment. I conducted research in two phases with a pilot and primary test. Male, college students within a specified waist size range were recruited and asked to report self- measurements and fit preferences on a mock internet website. These subjects were then scheduled for a fit testing session where they were measured by expert evaluators and tried on a series of test shorts. The first three short sizes presented were predicted using a size prediction model and data from self-measurement, expert measurement, and self-measurement plus reported fit preferences. In order to determine their optimum size, test subjects assessed up to a total of six shorts until they selected a pair with the perceived best fit. Subjects were also presented with a background questionnaire that asked demographic and apparel purchasing questions. After the completion of all fit testing sessions adjustments were made to the size prediction model to enhance its effectiveness. Since collaborative interaction between the manufacturer and the consumer is essential in the ordering process for customized goods, the inclusion of fit preference queries with guided self-measurement procedures should improve ordering accuracy and selection of the optimum garment size. In the initial size prediction model fit preference adjustments to self-measurements were found to significantly improve optimum short size prediction accuracy. However, evidence to support my second hypothesis that self-measurement plus fit preference was a better predictor than expert measurement alone was not found in this study. Wide variations in reported self-measurements hampered the significance testing of fit preference adjustments and variations in garment positioning limited the predictive ability of the size prediction models. Due to the inaccuracies of short sizes predicted by self and expert measurement with and without fit preference adjustments it is apparent that additional variables may exist in the ordering process that can improve the accuracy of optimized garment size predictions in addition to fit preferences. Identifying and quantifying these variables may improve the optimum size selection for apparel customers and allow mass customization to be an effective alternative to mass production and made-to-measure manufacturing. Fit related variables such as waist height, garment positioning, and the interplay of garment style and fit characteristics with individual fit preferences may be the essential elements missing or miscalculated in this ordering process. Fit preference also requires additional research to determine its effectiveness in improving the accuracy of size predictions for a wider range of body types and mass customized apparel products. BIOGRAPHICAL SKETCH Sean Frederick Ahrens graduated from J. J. Pearce High School in Richardson, Texas. He attended the University of Colorado, Colorado Springs and graduated in August 1990 with a Bachelor of Science Degree in Production Management. He was named the Top Production Management student in his graduating class. He received an active duty US Army commission in May 1990 through the Reserve Officer's Training Corps (ROTC). He was designated the Top Cadet in his Regiment at ROTC Advanced Camp. Captain Ahrens' commissioned military training includes the Combined Logistics Officer Advanced Course - Honor Graduate, the Petroleum Officer Course - Honor Graduate, the Quartermaster Officer Basic Course - Distinguished Honor Graduate, the Combat Developments Course - Honor Graduate, and the US Army Airborne School. J HI to my loving wife, Amanda and our wonderful son, Christopher IV ACKNOWLEDGMENTS Amanda Ahrens - for your unwavering support, inspiration, love, and assistance, not only in this endeavor, but in our entire lives together Christopher Ahrens - for coming into our lives at just the right time and just being yourself Tove Hammer - for your guidance, direction, inspiration and invaluable parenting tips Susan Ashdown - for your patience, support, metal chairs, and work in guiding me through every aspect of this undertaking Suzanne Loker - for sharing your knowledge, mirror cleaning, and scheduling of the graduate seminar in the face of insurmountable obstacles Anil Netravali - for your assistance in acceptance and dual degree enrollment and candid discussions Nathan Demerest - for being a great role model and mentor Carol Young - for your sewing abilities and help on group projects Melissa Kahn - for your patience and caring assistance The US Army - for allowing me the opportunity to attend Cornell University on a fully-funded basis TABLE OF CONTENTS CHAPTER 1 INTRODUCTION 1 1.1 Overview 1 1.2 Background 2 1.3 Apparel Industry Initiatives 5 1.4 Mass Customization 6 1.5 Garment Sizing 8 1.6 Research Objectives 9 1.7 Significance of Study 11 CHAPTER 2 REVIEW OF RELATED LITERATURE 13 2.1 Manufacturing Alternatives 13 2.1.1 Mass Production 14 2.1.2 Custom Manufacturing 21 2.1.3 Mass Customization 23 2.2 Sizing Systems 33 2.3 Garment Fit 35 2.4 Fit Preference 38 2.5 Measurement Techniques 42 2.6 Apparel Ordering 44 CHAPTER 3 RESEARCH DESIGN AND METHODOLOGY 46 3.1 Overview 46 3.2 Major Assumptions 48 3.3 Preliminary Analysis 50 3.3.1 Mail-Order Catalog Sizing 51 3.3.2 US Army ANSUR Data 55 3.3.3 Size Ranges 58 3.4 Test Shorts 59 3.5 Additional Test Instruments 68 3.5.1 Internet Website 71 3.5.2 Size Prediction Model 75 3.6 Measurement Procedures 84 VI 3.7 Subject Recruitment 88 3.8 Pilot Testing 90 3.9 Final Testing 93 3.10 Data Analysis 97 CHAPTER 4 RESULTS AND DISCUSSION 99 4.1 Sample Characteristics 99 4.2 Background Purchasing and Fit Preference 101 4.3 Size Prediction Model Results 107 4.4 Hypothesis Testing Results 119 4.5 Measurement Accuracy 125 4.6 Fit Testing Analysis 134 4.7 Fit Preference Findings 138 CHAPTER 5 MAJOR FINDINGS AND CONCLUSIONS 144 5.1 Major Findings 144 5.2 Summary and Conclusions 149 5.3 Recommendations for Future Research 151 APPENDIX A MAIL-ORDER CATALOG AND SIZING REVIEW 155 APPENDIX B TEST SHORT AND SIZE RANGE ANALYSIS 162 APPENDIX C SURVEY AND MEASUREMENT DATA 185 APPENDIX D DATA AND STATISTICAL ANALYSIS 195 APPENDIXE TEST FORMS 206 APPENDIX F EXPERT MEASUREMENTS 219 APPENDIX G RESEARCH WEBSITE 228 REFERENCES 268 VII LIST OF TABLES Table 2.1 Principles of Mass Production 18 Table 2.2 Features of Mass Customization 25 Table 3.1 Waist Circumference (Omphalion) 30 and Under Sample .... 58 Table 3.2 Ten Size Solution and Waist Size Ranges 59 Table 3.3 Pattern Crotch Length Adjustments in Centimeters 63 Table 3.4 Pattern Crotch Length Changes in Centimeters 64 Table 3.5 Final Pattern Crotch Length Sizes in Centimeters 65 Table 3.6 Expert Measurement Sizing Chart in Inches 76 Table 3.7 Self-Measurement Sizing Chart in Inches 77 Table 3.8 Initial Fit Preference Weights 79 Table 3.9 Fit Preference Adjustment Charts 80 Table 3.10 Intermediate Fit Preference Adjustments and Weighting 82 Table 3.11 Final Fit Preference Adjustments and Weighting 83 Table 4.1 Short Attribute Significance 105 Table 4.2 Initial Size Prediction Model Results 108 Table 4.3 Initial Size Prediction Model Total Error Rates 111 Table 4.4 Adjusted Size Prediction Model Results 115 Table 4.5 Adjusted Size Prediction Model Total Error Rates 117 Table 4.6 Girth Measurement Variances 127 Table 4.7 Self-Measurement Error Frequencies 132 Table 4.8 Test Short Presentation Order and Final Selections 135 Table 4.9 Fit Preference Adjusted Waist Size Accuracy 139 Table 4.10 Fit Preference Adjusted Crotch Size Accuracy 139 Table 4.11 Waist Height Prediction Errors 142 VIII

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