Browsing by Author "Michelle Jones, Committee Member"

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    Consumer Acceptance of Nonwoven Fabrics for Apparel and Accessory End-Uses
    (2009-11-05) Dutton, Kathryn Christine; Roger Woodard, Committee Member; Cynthia Istook, Committee Chair; Behnam Pourdeyhimi, Committee Member; Michelle Jones, Committee Member
    Technological advancements have made substantial strides in the development of nonwoven fabrics. New generations of nonwoven fabrics are more durable, have better drape, are stretchable, and overall have a better hand than past generations of nonwoven fabrics. With these advancements come new product development opportunities. One possible opportunity is expansion into the apparel and accessories market, not as a support fabric, but as the shell (visible, outside) fabric. The purpose of this study was to determine the consumer’s acceptance of nonwoven fabrics for apparel and accessory end-uses through the use of subjective fabric hand evaluation. A review of the literature guided the development of an appropriate subjective fabric hand evaluation method to study the average consumer’s acceptance of traditional woven fabrics versus spunlaced (spunbond and hydroentangled) nonwoven fabrics. In the development of this study, Bishop’s (1996) six elements were considered, in addition to, three key publications: Civille and Dus (1990); Cardello, Witherhalter, and Schutz (2003); and the AATCC Evaluation Procedure 5: Guidelines for the Subjective Evaluation of Fabric Hand (2006). Prior to conducting the experiment, the fabrics were chosen and prepared for testing. Three woven fabrics were chosen based on their common and wide spread use in apparel products. Three spunlaced nonwoven fabrics were chosen, one because it was a commercial product and the other two because they represent the most recent generation of nonwoven fabrics. The experiment was comprised of two parts, a rating and a ranking section, which were conducted simultaneously. In Part I of the experiment, the subjects were asked to rate each of the six fabrics for comfort and five different attributes – cool/warm, smooth/rough, thin/thick, flexible/stiff, and tight/stretchy. The samples were presented to the subjects, one at time, in random order, and kept from their view. In Part II of the experiment, the subjects conducted a simple ranking procedure. They were shown four images, one a time, in random order. The four images included a short sleeve button-down collared shirt, a long sleeve button-down collared shirt, a pair of pleated shorts, and a bag. The six fabric samples were placed in front of the subjects in random order, on a non-textured, non-metal table. Again, the fabrics were kept from their view. The subjects were asked to rank the fabrics in order from most desirable (best) to least desirable (worst) for the image. Through the use of the statistical software JMP, nonparametric statistics were conducted to analyze the data and respond to the research questions. The sample consisted of 197 male and female subjects primarily from the central North Carolina region. Data supported the following conclusions regarding the rating and ranking of woven and nonwoven fabrics, and the influence of gender and age on those ratings and rankings. Comfort depended more on the fabric and not necessarily whether the fabric was a woven or nonwoven. Overall, woven fabrics were preferred over nonwoven fabrics for apparel products. However, nonwovens were most preferred for a tote bag along with a woven fabric. The nonwoven fabric similarities and differences varied among attributes. Overall, gender did not influence the fabric rating or ranking responses. It appears age affected only the attributes that involved the surface of the fabrics. If the fabric had a texture, the older the subject, the smoother they perceived the fabric. Age influenced the rankings for shorts and a bag, but not for the other garments. As is the case with consumer studies, other variables, including individual biases, contributed to the fabric rating and ranking responses. However, significant relationships indicate there is potential for new product opportunities for the nonwoven fabrics.
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    An Innovative Hedonic Pricing System for US Cotton Based on HVI Quality Measures and Market Factors
    (2008-01-08) Cho, Hyunjung; Pamela Banks-Lee, Committee Member; Michelle Jones, Committee Member; John Monahan, Committee Member; Moon W. Suh, Committee Chair
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    Weave-Room Performance Decision-Making Process in Textiles: Mapping An Information Engineering Methodology
    (2006-09-07) Karpe, Yatin Surendra; Thomas Honeycutt, Committee Member; Michelle Jones, Committee Member; William Oxenham, Committee Co-Chair; George Hodge, Committee Co-Chair
    The purpose of this research is to understand, define and map the weave-room performance decision-making process, and to develop an Information Engineering methodology for studying and analyzing decision-making processes in textile manufacturing departments. A preliminary Decision Cycle Model was developed using knowledge management principles, resulting in a definition of Information Engineering, which was ?a technique for extracting the meaning contained in the information so as to allow the understanding needed by the user to make an informed decision?. A case study approach, in conjunction with a process-modeling tool called IDEF0, belonging to the IDEF (Integrated Definition language) family of modeling techniques, has been used. Case studies were conducted at three weaving plants, resulting in the development of the three AS-IS models. These case studies provided the framework to compare with, and become the underlying basis for, the proposed Best Practices TO-BE model of the weave-room performance decision-making process. Additionally, both the AS-IS and TO-BE models lead to the development of ten key performance-improving tasks that could potentially assist in enhancing the decision process as well as providing the background for analyzing the usability of IDEF0 as an effective process-mapping tool, by means of a SWOT analysis. Finally, a generic Information Engineering methodology was developed that could be used for mapping manufacturing-related decisions. The research deliverables resulting from the Information Engineering methodology would eventually lead to the development and creation of a kind of Digital Decision Dashboard (D3), which could potentially prove to be a valuable tool for decision-making in textiles, thus addressing a critical need presently facing the textile industry.