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The purpose of this paper is to develop a user friendly, wearable pain management system by optimizing CAD embroidery parameters for manufacturing high performance dry transcutaneous electrical neural stimulation (TENS) electrodes.

User-centered design methodology is employed to identify user needs related to TENS devices. Optimization of CAD embroidery parameters was done by measuring and calculating resistance and signal-to-noise values for electrodes manufactured with different conductive thread, stitch pattern, and stitch density types.

Characteristics of the conductive thread such as thickness and irregularity, embroidery stitch pattern, stitch density therefore the amount of conductive thread used all effect resistance values and signal-to-noise values of TENS electrodes. Low resistance of TENS electrode surface does not mean high signal-to-noise ratio and high TENS signal quality. Satin stitch type with low stitch density provides the best resistance and signal-to-noise ratio for a TENS electrode.

This study reported the design process of a wearable pain management system with a focus on optimization of embroidery manufacturing parameters for development of TENS electrodes. The design process not only required technical optimization but also understanding user problems related to use of conventional TENS devices. Proposed end product is a user friendly, electronic textile based, wireless wearable pain management system in different forms suitable for major pain areas such as knee, elbow and neck.

Embroidery as a textile embellishment technique plays an important role in people's daily life. Esthetic embroidery artworks possess cultural values. With the development of robotics and artificial intelligence (AI), these technologies have been studied and applied in the embroidery process. This study aims to survey how these technologies facilitate embroidery from different aspects.

This paper surveys how the technologies of robotics and AI are applied in the embroidery field. The applications are mainly reviewed from three aspects: computerized robotic embroidery systems has been widely used for the mass production of embroidered textiles, the advanced technological systems and techniques have greatly facilitated the development of smart textiles and the artificial intelligence plays an important role in the inheritance, innovation and protection of traditional handicraft artwork of embroidery.

The programmable robotic embroidery machines have greatly improved the production efficiency of embroidered textiles and promoted the development of electronic textiles. The AI, mainly the deep learning technology, brings significant benefits to esthetic embroidery creation. Technology-based embroidery has become a hot research topic in the field of textiles.

This paper summarizes the application of robotics and AI technologies in the field of embroidery, which provides readers a comprehensive and systematic understanding about the research progress of modern technology-oriented embroidery. This helps readers gain inspiration from the technology perspectives.

The purpose of this paper is to establish the regression equation based upon a set of samples prepared through structured design of experiment and form a prediction model for prediction of the areal density gram per square meter (GSM) of the embroidered fabrics and study the influence of basic input parameters.

Embroidery samples are prepared taking input parameters as GSM of the base fabric, linear density of the embroidery thread and stitch density of the embroidery design. Three levels of values are identified for each of the input parameters. Taguchi and Box-Behnken experiment design principles are used to prepare two sets of samples. Linear multiple regression is used to determine the prediction equations based upon each of the two sets and the combined set as well. Prediction equations are statistically verified for the prediction accuracy. Also, surface curves are prepared to study the influence of embroidery parameters on the GSM.

It is found that all the three prediction models developed in this study can predict with a very satisfactory level of accuracy. However, the regression equation based upon the data set prepared according to Taguchi experiment design is emerged as the prediction model with highest level of prediction accuracy. Corresponding equation coefficients and several three-dimensional surface curves are used to study the influence of embroidery parameters and it is found that the stitch density is the most influential input parameter followed by stitch length and the GSM of base fabric.

This can be used to assess the GSM of embroidered fabrics before starting the actual embroidery process. So, this model can help the embroidery designers significantly to pre-estimate the GSM of the embroidered fabrics and select the design parameters accordingly. Also, this model can be a useful tool for estimation of thread consumption and thread cost in embroidery.

The input parameters used here are very basic parameters related to design and materials, which can be easily available. And also, a simple linear multiple regression is used to make the prediction equation simple and easy to use. So, this model can help the embroidery designers or garment designers to select/adjust the embroidery parameters and thread parameters accordingly in the planning and designing stage itself to ensure that the GSM of embroidered fabrics remains within desirable range. Also, this prediction model developed hereby may be a very useful tool for estimation of the consumption and cost of embroidery threads.

This paper presents a very fundamental study to reveal the effect of embroidery parameters on the GSM, through development of regression equations. It can help future researchers in optimizations of input parameters and forming a technical guideline for the embroidery designers for selection of the design parameters for a desired GSM of embroidered fabric.

To design, develop and construct specific garment designs for use in Croatia as academic gowns using advanced engineering principles.

The synergism of historians, designers, engineers, clothing technologists and textile finishers using specialised equipment has been employed in this project.

Using interdisciplinarity can yield good results.

The research targets specific products, but its methodology may be used for any other products/end users also.

Gowns have been designed, made and used in academic ceremonies successfully.

Design/technology approach to new product development.

The purpose of this paper is to investigate the influence of embroidering technological parameters, of knitted material structure and of either using or not nonwoven material for backing on the quality of restangular embroidered element; based on the obtained results to select the optimal technological parameters for the embroidering of original clothing element avoiding the higher time expenses for the technical development process of new product.

The new methodology for the optimization of technology of original embroidered clothing element is based on the measurements of simple geometric element.

The methodology of technology optimisation based on the measurement of restangular element geometric parameters can also be applied for the optimization of the embroidering technology of advanced design elements.

The present study was carried out investigating knitted materials, but its methodology may be used for woven fabrics also, as their elongation rate is lower than one of knitted materials.

Development of the embroidering technology of original clothing element is based on the scientific approach and industrial experience.

The purpose of this study was to collaboratively design eight professional dress ensembles incorporating Hejazi tribal embroidery and to evaluate Saudi female academics’ perceptions about those ensembles as appropriate for professional attire. The concept aimed to offer the potential for increased cultural identity by wearing modernized ethnic dress as everyday workplace attire that was relatively practical, affordable and expressive of Saudi cultural identity.

The goal in this research was to engage Saudi female academic professionals in designing clothing that integrated Saudi textile and costume traditions into contemporary styles appropriate for the academic work environment. Two models guided the research. The FEA model (Lamb and Kallal, 1992) was used to organize the questions in the survey questionnaire around an integration of culture with functional, aesthetic and expressive aspects of apparel. The second model guiding the research was an adaptation of the USAP participatory co-design model (Demirbilek and Demirkan, 2004). This model was used to engage study participants in the design process.

Qualitative results showed that participants were willing to wear the garments in this study, as the garments represented heritage, looked contemporary in terms of style lines, had comfort and interchangeable garment components, embroidery and printed fabric, fabric used in garment designs and color. Quantitative results showed that the ratings for the final garments were generally higher than the first sketches in the first phase. Results of the eight designs in the collection revealed that the aesthetic aspect was the most referenced by the participants among the FEA aspects. Results also indicated that silver waves design received the highest rating among the designs in terms of FEA aspects.

This research provides greater understanding of the ethnic culture of the Western region of Saudi Arabia for Western scholars. Previous research has indicated an interest in having garment manufacturing take place in Saudi Arabia (Turkustani, 1995). Findings from this research may lead to future study on the state of apparel production in Saudi Arabia and the potential feasibility of establishing a center for training in digital technology to support small business opportunities for Saudi women who are trained for work in the apparel industry.

Discusses the 6th ITCRR, its breadth of textile and clothing research activity, plus the encouragement given to workers in this field and its related areas. States that, within the newer research areas under the microscope of the community involved, technical textiles focuses on new, ‘smart’ garments and the initiatives in this field in both the UK and the international community at large. Covers this subject at length.

Industry 4.0 has an inimitable potential to create competitive advantages for the apparel industry by enhancing productivity, production, profitability, efficiency and effectiveness. This study, thus, aims to assess the digitalisation level of the Tanzanian apparel industry through the Industry 4.0 perspectives.

A mixed-methods-based approach was deployed. This study deployed semi-structured interviews, document review and observation methods for the qualitative approach. For the quantitative approach, closed-ended questionnaires were used to ascertain the digitalisation levels and maturity level of the textiles and apparel (T&A) factories and small and medium-sized textile enterprises in Tanzania. The sample size was 110, with participants engaged through the purposive sampling technique.

Industry 4.0 frameworks evolved into practices mainly since 2011 in several service and manufacturing industries globally. For Tanzania, the findings indicate that the overall maturity level of the T&A industries is 2.5 out of 5.0, demonstrating a medium level of adoption. Thus, the apparel industries are not operating under the industry 4.0 framework; they are operating within the third industrial revolution – Industry 3.0 – framework. For such industries to operate within the fourth industrial revolution – Industry 4.0 – that is only possible if there is significantly well-developed industrial infrastructure, availability of engineering talent, stable commercial partnerships, demand from the marketplace and transactional relationship with customers.

This study’s limitations include: firstly, Industry 4.0 is an emerging area; this resulted in limited theoretical underpinnings in the Tanzanian perspectives. Secondly, the studied industries may not suffice the need to generalise the findings for the entire country, thus needing another study.

Although Industry 4.0 conceptual frameworks have been on trial in several industries since 2011, this is amongst the first empirical research on Industry 4.0 in the Tanzanian apparel industry that assesses the digitalisation levels.

Preparing a collection is a costly process when compared with mass production. Although it is a short‐run process, there are high unit costs due to the need for ordering knitted or woven material, and making necessary preparations for print and stitch patterns. All of these factors increase the cost of collection samples. Because the amount of material to be used for the preparation of the collection is small, having the material knitted or woven, or having it dyed, if it is raw, is more expensive compared with mass production. However, if the company trusts its own collection and receives positive feedback from its customers, it may consider using the material for production and keep the orders at a high level, thus decreasing the unit price. The purpose of this study is to put forward methods of calculating expenses for preparing a collection and collection costs. It also presents a sample application using present‐day values to give a comparison of collection samples with mass production samples. This makes it possible to come up with the most profitable production techniques. For this purpose, 40 T‐shirt designs were made; of these, ten models with different production features were carefully selected. Production steps were classified and the cost for each step was then calculated. By adding the cost of each step together, unit model cost was found. The collection cost was determined in the same way. It has been observed that the costs increase according to the raw material, auxiliary equipment, accessories, side processes and labour.

Non-governmental organization (NGO) intervention in poor communities using information and communication technology (ICT).

BBA, MBA courses on marketing management, social entrepreneurship, rural marketing, marketing to bottom of pyramid.

In 2009, Digital Empowerment Foundation (DEF) along with Media Labs Asia and the Ministry of Information and Communication Technology (MICT) established the Chanderi Weavers ICT Resource Centre (CWIRC) as a self-sufficient community information resource center involved in skills’ enhancement of weavers at Chanderi in Madhya Pradesh. The next three years of CWIRC resulted in an overall growth of the project with progress in the various domains of handloom industry through ICT-enabled development of weavers and weaving. The project not only aimed at the handloom industry revival and development, but also advanced in other sectors such as education, health and tourism. Osama Manzar, the DEF founder, is in a dilemma as to whether the local community of weavers in Chanderi would be able to continue with the sustainable ecosystem created in Chanderi. Is it the right time to exit Chanderi?

Issues related to the market development at the bottom of the pyramid; managing local communities and building their capabilities for marketing; marketing strategies of community marketing efforts; and key success factors for ensuring successful completion of any developmental project.

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CSS 8: Marketing.