The Experts below are selected from a list of 24 Experts worldwide ranked by ideXlab platform

Liu Su-yan - One of the best experts on this subject based on the ideXlab platform.

  • Application of Three-dimensional Body Measurement System
    2005
    Co-Authors: Liu Su-yan
    Abstract:

    The configuration principles and functions of the non-contact three-dimensional (3D) body measurement system (BMS) developed by the Textile/Clothing Technology Corporation (TC2) are described in this paper. The advantages of this new system, compared with traditional contact body measurement instruments (Martin instruments) are discussed by selecting 40 female undergraduates of Donghua University as the scan objects. In the experiments both the Martin instruments and TC2 BMS were used respectively. According to the data of different position (Bust Circumference, Full Waist, Full Hips, Bust Height, Front Waist Height and Back Waist Height) obtained from both of the methods we can get the correlation coefficient which is close to 1, indicating that the results of both methods have comparability. Finally some suggestions for the further applications of the non-contact BMS in the apparel development of China are given.

Donna Albrecht - One of the best experts on this subject based on the ideXlab platform.

  • Comparison of Apparel Production Systems: A Simulation:
    Clothing and Textiles Research Journal, 1994
    Co-Authors: Barbara A. Oliver, Doris H. Kincade, Donna Albrecht
    Abstract:

    The purpose of the study was to analyze efficiencies of three production systems used in the apparel industry, "push" (bundle), kanban, and "team" (modular). A simulation model developed by the Textiles/Clothing Technology Corporation ([TC]2) was implemented and the "product" was retractable ball point pens. Three university faculty who were veterans of a [TC]2 seminar that focused on this simulation conducted the study. A 3x3x3 (production system x order x university) factorial with Latin Square design was implemented. Multivariate analysis of variance (MANOVA) tests were run and Least Significant Difference (LSD) comparison tests conducted to compare differences among pairs. Dependent variables were number of units produced, units in process, number of defects and average time (in seconds) per unit produced. Significant differences were found in relation to dependent variables, the production system used and order in which systems were introduced. Implications were given regarding implementation of the ...

Barbara A. Oliver - One of the best experts on this subject based on the ideXlab platform.

  • Comparison of Apparel Production Systems: A Simulation:
    Clothing and Textiles Research Journal, 1994
    Co-Authors: Barbara A. Oliver, Doris H. Kincade, Donna Albrecht
    Abstract:

    The purpose of the study was to analyze efficiencies of three production systems used in the apparel industry, "push" (bundle), kanban, and "team" (modular). A simulation model developed by the Textiles/Clothing Technology Corporation ([TC]2) was implemented and the "product" was retractable ball point pens. Three university faculty who were veterans of a [TC]2 seminar that focused on this simulation conducted the study. A 3x3x3 (production system x order x university) factorial with Latin Square design was implemented. Multivariate analysis of variance (MANOVA) tests were run and Least Significant Difference (LSD) comparison tests conducted to compare differences among pairs. Dependent variables were number of units produced, units in process, number of defects and average time (in seconds) per unit produced. Significant differences were found in relation to dependent variables, the production system used and order in which systems were introduced. Implications were given regarding implementation of the ...

Lenda Jo Connell - One of the best experts on this subject based on the ideXlab platform.

  • Tween Girls and Their Mothers: Clothing Decision Criteria and Body Satisfaction
    Journal of the Korean Society of Clothing and Textiles, 2007
    Co-Authors: Seung Hee Lee, Pamela V. Ulrich, Lenda Jo Connell
    Abstract:

    The purpose of the research was to explore Clothing characteristics that tween girls(ages 9-14) consider important when deciding what to wear, as well as what the tween girls` mothers believe that their daughters value. The purposive sample consisted of 41 mother-daughter pairs recruited by (Textile/Clothing Technology Corporation). Subjects were divided into younger(9-11) and older(12-14) normal- and plus-size groups based on Body Mass Index(BMI). There were significant differences between mothers and daughters in rating the importance of seven decision criteria concerning what to wear. The entire tween girls reported that clothes that fit well as the most important criteria in deciding what to wear. Clothes that were comfortable was the only criterion significantly related to the tween girls` body dissatisfaction scores. Mothers rated clothes that are the newest fashion and that friends would be wearing as being significantly more important than their daughters reported. There was a significant negative correlation between tween girls` body dissatisfaction scores and choosing clothes that are comfortable. Normal-size tweeen girls and their mothers differed significantly only when considering the newest fashion and what friends would be wearing. Plus-size tween girls and their mothers differed significantly for four criteria: fit, comfort, best looking, and what friends would be wearing. Both younger and older groups differed with mothers concerning what friends would be wearihng. Additionally, younger girls placed significantly more emphasis than their mothers fit. Older girls did not consider the newest fashion an important a decision criterion, but their mothers believed that they did.

Cynthia L. Istook - One of the best experts on this subject based on the ideXlab platform.

  • Body scanning: The effects of subject respiration and foot positioning on the data integrity of scanned measurements
    Journal of Fashion Marketing and Management: An International Journal, 2002
    Co-Authors: Lashawnda Mckinnon, Cynthia L. Istook
    Abstract:

    Describes research designed to examine the effects of subject positioning on the accuracy of body scan data. A body measurement system developed by the Textile Clothing Technology Corporation was used to acquire two scans from each of 72 subjects. The subjects were instructed to continue to breathe normally and stand with their feet shoulder‐width apart. The two scans were compared and statistical analysis was performed to determine the precision of the results and whether this lack of standardization affected the data. Physical measurements were also obtained from each subject and served as a basis for comparison to the scanned measurements. Since physical measurements are the current accepted “true value”, these measurements determined the level of accuracy of scanned data. Three separate scans of 72 different subjects were taken at various levels of breathing and at various foot positions to determine the effect of the variables. This study certainly indicates that respiration and foot placement has a significant effect on body scan data. It was established that the scan data rendered by the software does have precision, but lacks accuracy when compared against physical measurements. This may be owing to the inaccuracies of the physical measurement process or to differences in measurement location between the anthropometrist and the 3D measurement extraction software. Information detailing the level of accuracy and precision that can be obtained with scanning software and how respiration and subject positioning can affect the data are included.