簡易檢索 / 詳目顯示

回結果列表
研究生： 林海芬
Hai-Fen Lin
論文名稱： 建立陸軍人體計測資料庫並發展服裝尺碼系統
The Establishment of Anthropometric Database and The Development of Sizing Systems for Army Soldiers in Taiwan
指導教授： 王茂駿
Mao-Jiun J. Wang
口試委員:
學位類別： 博士
Doctor
系所名稱： 工學院 - 工業工程與工程管理學系
Department of Industrial Engineering and Engineering Management
論文出版年： 2008
畢業學年度： 96
語文別： 英文
論文頁數： 122
中文關鍵詞： 人體計測 、體型分類 、資料挖礦 、尺碼系統 、決策樹 、服裝製造 、軍人
外文關鍵詞： Anthropometric data, Figure type, Data mining, Sizing systems, Decision tree, Garment manufacturing, Soldiers
相關次數： 點閱：3  下載：0 
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報

    • 我國軍目前約25萬人，每年需要提供之軍備服裝數量、種類極為龐大，後勤運補、配送等工作十分繁瑣。對於軍服生產製造與儲備管理單位而言，建立標準的尺碼系統是非常重要的一環，好的尺碼系統除了合身之外，還能依據估算出各類尺碼服裝需要生產的比例，以減少因尺碼數量不符實際需要而造成製造、籌補與庫存的成本。
    建立服裝標準尺碼系統首要工作是先建立人體計測資料庫。本研究針對610位男性軍人，運用三次元量測儀、數位捲尺以及數位卡尺等設備，量測多達265項靜態維度尺寸，建立國軍人體計測資料庫。軍人計測資料將有助於我國在發展武器裝備時對人體工學及人因工程方面等需參考之數據提供完整資訊，使我國未來在自製船艦、飛機、車輛等空間規劃、操控台設計上符合國軍體型需求，進而充分發揮系統整體戰力。
    本研究同時運用資料挖礦技術分析大量的計測資料，進而將國軍人體體型分為四類，並建立一套適合國軍的標準服裝尺碼系統。新發展的服裝尺碼系統，具有較高涵蓋率以及較少尺碼數等優點，且能依照其規則性賦予編碼，容易辨識。依據這套新發展的尺碼系統，可以彈性選擇各種軍服所需尺碼或維度類別，以提高補給效率，減少庫存，降低成本，增加國防戰力。

    In the field of garment manufacturing, its plan and control of production and inventory are very complicated. Thus, establishing standard sizing systems is necessary and important for manufacturers. Because the establishment of the standard sizing systems requires the anthropometric data as reference, the construction of an anthropometric database for Taiwanese army soldiers is the first step.
    A total of 265 static anthropometric variables including both standing and sitting postures were measured from 610 male soldiers. Three kinds of equipment were used for static measurements, i.e. a 3-D (three-dimensional) coordinate measurement probe, a digital caliper and a digital tape measure. The anthropometric database for Taiwanese army is essential for enhancing safety and healthy in work environment, weapon design, personal equipment design and garment sizing system development.
    Data mining has been extensively used in many fields, but limited research has been conducted in establishing sizing systems. This study aims to present the valuable anthropometric data of Taiwanese soldiers and to establish systems for determining the sizes of garments for army soldiers using a data mining technique. The new developed sizing systems can correctly predict the requirements for different sizes of uniforms, and generate a realistic production planning. Unnecessary inventory costs due to the sizing mismatches between the number of soldiers and the produced garments can be minimized.

    Table of Content 摘要 I Abstract II 誌謝 III Table of Content IV Figure List VII Table List VIII Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Problem statement 2 1.3 The purposes and framework of this study 4 Chapter 2 Literature review 7 2.1 Anthropometry 7 2.1.1 Anthropometry of the U.S. military 7 2.1.2 Anthropometric survey in Taiwan 8 2.2 Sizing systems 9 2.2.1 Development of sizing systems 9 2.2.2 Sizing systems and body types 12 2.2.3 Sizing systems in various nations 15 2.2.4 Anthropometric measurements and fit 22 2.3 Data mining 25 2.3.1 Data mining and cluster analysis 26 2.3.2 Data mining and decision trees 27 Chapter 3 Anthropometric data of army soldiers in Taiwan 30 3.1 Anthropometric survey 30 3.2 The anthropometric database for army soldiers 31 3.3 Comparisons of important body dimensions with other databases 39 3.3.1 Comparisons of U.S. navy/ marine corps 39 3.3.2 Comparisons of male workers in Taiwan 43 Chapter 4 Establish the sizing systems for army soldiers using data mining 47 4.1 Establishing the sizing systems for soldier’s upper-garments 47 4.1.1 Defining the problem 47 4.1.2 Preparing and analyzing data 48 4.1.3 Data mining by a decision tree technique 50 4.1.4 Discussions 53 4.1.5 Establishing the sizing systems 55 4.1.6 Evaluating the sizing systems 60 4.1.7 Comparisons of male workers’ sizing systems 63 4.2 The sizing systems for soldier’s lower-garments 65 4.3 Establishing the sizing systems for male workers’ lower-garments 68 4.3.1 Defining the problem 68 4.3.2 Preparation and analysis for data mining 69 4.3.3 Data mining by a decision tree technique 71 4.3.4 Discussions 74 4.3.5 Establishing the sizing systems 75 4.3.6 Evaluating the sizing systems 79 4.3.7 Comparisons of the sizing system for soldier’ lower-garments 81 Chapter 5 Conclusions and future study 84 References 87 Appendix A: The sizing charts for army soldiers’ upper-garments 94 Appendix B: The sizing charts for soldiers’ lower-garments 101 Appendix C: The sizing charts for male workers’ upper- garments 108 Appendix D: The sizing charts for male workers’ lower-garments 116

    References
    1. Apte, C. and Weiss, S. (1997), "Data mining with decision trees and decision rules", Future Generation Computer System, Vol. 13, pp. 197-210.
    2. Ashdown, S. P. (1998), "An investigation of the structure of sizing systems", International Journal of Clothing Science and Technology, Vol. 10, pp. 324-341.
    3. Becerra-Fernandez, I., Zanakis, S. H. and Walczak, S. (2002), "Knowledge discovery techniques for predicting country investment risk", Computer and Industrial Engineering, Vol. 43, pp. 787-800.
    4. Berry, M. and Linoff, G. (1997), Data Mining Techniques: for Marketing, Sales, and Customer Support, Wiley, New York.
    5. Berry, M. and Linoff, G. (2000), Mastering Data Mining, The Art and Science of Customer Relationship Management, Wiley, New York.
    6. Berson, A., Smith, S. and Thearling, K. (2000), Building Data Mining Applications for CRM, McGraw, New York.
    7. Bradtmiller, B., (1997) “Reconciling Anthropometric and Tailoring Measurements for Clothing Design”, Anthropology Research Project Inc.
    8. Breiman, L., Friedman, J. H. and Olshen, R. A. (1998), Classification and Regression Tree, Chapman and Hall, Florida.
    9. Burns, L. D. and Bryant, N. O. (2000), The Business of Fashion: Designing, Manufacturing, and Marketing, Fairchild, U.S.A.
    10. Chang, C. F. (1999), "The model analysis of female body size measurement from 18 to 22 ", Journal of Hwa Gang Textile, Vol. 6, pp. 86-94.
    11. Chas, Y. M., Ho, S. H., Cho, K. W., Lee, D. H. and Ji, S. H. (2001), "Data mining approach to policy analysis in a health insurance domain", International Journal Medical Informatics, Vol. 62, pp. 103-111.
    12. Chen, F. L., (1998), The research of Taiwan female (age from 20 to 49) anthropometric data, Journal of the China Textile Institute, Vol. 9, pp.1-11.
    13. Chen, S.Y., (2000), Multivariate analysis, Hwa-Tai, Taipei.
    14. Chiu, W. C., (1984), The research on the standard of young women’s dress and difference of external physical appearance, Project report, NSC73-0415-E020-01. (Chinese)
    15. Chung, M. J., (2004), Applying Data Mining to Establish Sizing Systems for the Students of Elementary and High School, Master thesis, Tsing Hua University, Hsin-Chu, Taiwan.
    16. Chung, M. J. and Wang, M. J., (2006), “The development of sizing systems for school students,” 36th International Conference on Computers and Industrial Engineering, Taipei, Taiwan, pp. 2645-2652.
    17. Chung, M. J., Lin, H. F., and Wang, M. J., (2007), “The development of sizing systems for elementary and high school students,” International Journal of Industrial Ergonomics, Vol. 37, pp.706-711.
    18. CNS L4160, Chinese National Standard, Basic Measurement for Shirts. (1990). (in Chinese)
    19. Cooklin, G. (1992 a), Pattern Grading for Men's Clothes, Blackwell, Oxford.
    20. Cooklin, G. (1992 b), Pattern Grading for Women's Clothes, Blackwell, Oxford.
    21. Davenport, C. G. and Love, A. G., (1921) “Army Anthropology”, Vol. 15 Part 1of “The Medical Department of the United States Army in the World War”, Office of the Surgeon General, Department of the Army, Washington DC, USA.
    22. Debbie, A. G. and Beverly, B., (1979), Figure Types & Size Ranges, Fairchild, N. Y..
    23. Emanuel, I., Alexander, M., Churchill, E., Truett, B., (1959), A height–weight sizing system for flight clothing. In: Wright Air Development Center. WADC. Wright-Patterson Air Force Base, Ohio. Technical Report pp.56-365.
    24. Fayyad, U. and Stolorz, P. (1997), "Data mining and KDD: promise and challenges", Future Generation Computer System, Vol. 13, pp. 99-115.
    25. Feng, C. X. and Wang, X. (2002), "Development of empirical models for surface roughness prediction in finish turning", International Journal of Advanced Manufacturing Technology, Vol. 20, pp. 348-356.
    26. Ferrari, L. C., Vogue Easy Sewing, Harper & Row, N. Y. (1987).
    27. Fu, M. L., (1993), The research of anthropometry survey and basic pattern for college female student with the ages from 18 to 26, Fu Jen Bulletin, pp. 147-193.
    28. GB 1335-91, China Size Designation, (1991). (in Chinese)
    29. Gerritsen, R. (1999), "Assessing loan risks: a data mining case study", IT Professional, Vol. 1, pp. 16-21.
    30. Giudici, P., (2003) Applied Data Mining: Statistical Methods for Business and Industry, Wiley, England.
    31. Gordon, C. C., Churchill, T., Clauser, C. E., Bradtmiller, B., McConville, J. T., (1989) “Anthropometric Survey of U.S. Army Personnel: Methods and Summary Statistics 1988”, United States Army Natick Research, Development and Engineering Center.
    32. Gordon, C. C., Foti, H. M., Donelson, S. M., (1997) “1995 U.S. Navy/Marine Corps Matched Male and Female Anthropometric Eligible Pilot Databases.” Department of the Navy Naval Air Warfare Center Aircraft Division.
    33. Gupta, D., Gangadhar, B.R., (2004), “A statistical model for developing body size charts for garments”, International Journal of Clothing Science and Technology Vol. 16, No.5, pp. 458-469.
    34. Gupta, D., Garg, N., Arora, K., Priyadarshini, N., (2006), “Developing body measurement charts for garments manufacture based on a linear programming approach”, Journal of Textile and Apparel Technology and Management Vol.5, No 1, pp.1-13.
    35. Hair, J. F., Anderson, R. E., Tatham, R. L., and Black, W. C., (1998), Multivariate Data Analysis, Prentice Hall, New Jersey.
    36. Hsu, C. H., (2005), Establishing Garment Production Sizing Systems Using Decision Tree-based Data Mining , Ph D Dissertation, Tsing Hua University, Hsin-Chu, Taiwan.
    37. Hsu, C. H., and Wang, M. J. (2005 a), “Using decision tree based data mining to establish a sizing system for the manufacture of garment”, International Journal of Advanced Manufacturing Technology, Vol. 26, No 5-6, pp.669-674.
    38. Hsu, C. H., and Wang, M. J. (2005 b), “Using innovative technology to establish sizing systems”, International Journal of Innovation and Learning, Vol. 2, No 3, pp.233-245.
    39. Hsu, C. H., Lin, H. F., and Wang, M. J. (2007), “Developing female size chart for facilitating garment production”, Journal of the Chinese Institute of Industrial Engineering, Vol. 24, No 3, pp.245-251.
    40. Hsu, K. M. and Jing, S. H. (1999), "The chances of Taiwan apparel industry", Journal of the China Textile Institute, Vol. 9, pp. 1-6.
    41. ISO/TR10652, (1991), International Organization for Standardization, Standard sizing systems for clothes. Technical report, pp. 19-25.
    42. Jackson, L., Derringer, G., Steegmann, A. T., Brletich, R., (1988) “Sizing Determination Final Report”, Chemical Research Development and Engineering Center.
    43. Jarosz, E., (1999), “Anthropometric of elderly women in Poland”, International Journal of Industrial Ergonomics, Vol.25, pp. 203-213.
    44. JIS L 4002, (1997), Sizing System for Boys’ Garments, Japanese Industrial Standards, Japan.
    45. JIS L 4004, (2001), Sizing Systems for Men's Garments, Japanese Industrial Standards, Japan.
    46. Jongsuk, C. Y. and Jasper, C. R. (1993), "Garment-sizing systems: an international comparison", International Journal of Clothing Science and Technology, Vol. 5, pp. 28-37.
    47. Kaiser, H.F., (1960), “The application of electronic computers to factor analysis”, Educational and Psychological Measurement, Vol.20, pp.141-151.
    48. Kang, T. J. and Kim, S. M. (2000), "Optimized garment pattern generation based on three-dimensional anthropometric measurement", International Journal of Clothing Science and Technology, Vol. 12, pp. 240-254.
    49. Kennedy, K. W., (1972) “International Anthropometric Variability and its Effects on Aircraft Cockpit Design”, Paper presented at symposium held at Oosterbeek, the Netherlands on 19-23 June 1972.
    50. Kinghorn, R. A., Bittner, A. C. Jr., (1995), “Truck driver anthropometric data: estimation of the current population”, International Journal of Industrial Ergonomics, Vol.15, pp. 199-204.
    51. Ko, E., Kincade, D. and Brown, J. R. (2000), "Impact of business type upon the adoption of quick response technologies：The apparel industry experience", International Journal of Operations & Production Management, Vol. 20, pp. 1093-2004.
    52. Koonce, D. A. and Tsai, S. C. (2000), "Using Data mining to find patterns in genetic algorithm solutions to a job shop schedule", Computer and Industrial Engineering, Vol. 38, pp. 361-374.
    53. Kuo, R. J., Ho, L. M., and Hu, C. M., (2002), “Cluster analysis in industrial market segmentation through artificial neural network,” Computer and Industrial Engineering, Vol. 42, pp. 391-399.
    54. KS K 0050-1999, (1999), Sizing Systems for Men’s and Boys’ Garments. Korean Standards Association, Seoul.
    55. Laing, R. M., Holland, E. J., Wilson, C. A., and Niven, B. E., (1999), “Development of sizing system for protective clothing for adult male,” Ergonomics, Vol.42, pp. 1249-1257.
    56. Li, C. C., Hwang, S. L., Wang, E. M. Y., (1986) The establishment of static anthropometric database for civilian Chinese in Taiwan, Projest report, NSC. (Chinese)
    57. Liechty, E. G., Pottberg, D. N., Rasband, J. A., and Judith, A,, (1986), Fitting & Pattern Alteration: A Multi-Method Approach, Fairchild, N. Y.
    58. Maddour, M. and Elloumi, M. (2002), "A data mining approach based on machine learning techniques to classify biological sequences", Knowledge-Based Systems, Vol. 15, pp. 217-223.
    59. McCulloch, C. E., Paal, B. and Ashdown, S.A. (1998), "An optimal approach to apparel sizing", Journal of the Operational Research Society, Vol. 49, pp. 492-499.
    60. Moisen, G. G. and Frescino, T. S. (2002), "Comparing five modeling techniques for predicting forest characteristics", Ecological Modelling, Vol. 157, pp. 209-225.
    61. Moon, J.Y., Nam, Y.J., (2003), “A study the elderly women’s lower body type classification and lower garment sizing systems”, Proceedings of International Ergonomics Association 2003 Conference.
    62. NF G03-003, (1977), France Standards, Clothing － Men's Measurements. (in French)
    63. Ramos, Z. R. T. and Saavedra, M. A. H., (1997), “Anthropometric table for the Puerto Rican industrial population”, Computers and Industrial Engineering, Vol.33, pp. 213-216.
    64. Ray, G. G., Ghosh S., and Atreya V., (1995), “An anthropometric survey of Indian schoolchildren aged 3-5 years”, Applied Ergonomics, Vol.26 No.1, pp. 67-72.
    65. She, F.H., Kong, L.X., Nahavandi, S., Kouzani, A.Z., (2002), “Intelligent animal fiber classification with artificial neural networks”, Textile Research Journal, Vol.72 No 7, pp. 594-600.
    66. Tai, H., (1998) Sizing System and Application, Chinese Textile Press, China.. (in Chinese)
    67. Tryfos, P., (1986), “An integer programming approach to the apparel sizing problem”, Journal of the Operational Research Society, Vol. 37 No 10, pp. 1001-1006.
    68. Tung, Y. M. and Soong, S. S. (1994), "The demand side analysis for Taiwan domestic apparel market", Journal of the China Textile Institute, Vol. 4, pp. 375-380.
    69. Wang, M.Y., Wang, M. J., Yeh, W. Y., Shih, Y. C., and Lin, Y.C., (1999) “Towards an ergonomics work environment: anthropometry survey for Taiwan workers”, International Journal of Industrial Ergonomics, Vol. 23, pp.3-8.
    70. Wang, M. J., Wang, M.Y., and Lin, Y.C., (2001) “Anthropometric Data Book of the Chinese People in Taiwan”, The Ergonomics Society of Taiwan.
    71. Wang, M.J., Wang, M.Y., and Lin, Y.C., (2002), “The anthropometric database for children and young adults in Taiwan”, Applied Ergonomics, Vol.33 No.6, pp. 583-585.
    72. Winks, J. M. (1997), Clothing Sizes: International Standardization, Redwood, U.K.

    無法下載圖示 全文公開日期 本全文未授權公開 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館：臺灣博碩士論文系統)
    QR CODE