Appraising the Use of Computer Technology in Garment Production Firms in Accra/Tema Metropolis

The main objective of the study is to investigate the activities of garment production in relation to computer technology, expose garment producers to some useful computer applications and also to sensitize them to take advantage of the advancement in Computer Technology. The findings of the study revealed the plight and burden of the garment producers. Most of the garment producers had the basic equipments that are just necessary to stay in business but not sophisticated machinery that can be used to produce to meet international standards. Three major problems confronting the garment producers were (a) inability to produce on a large scale (b) inability to produce at competitive prices and (c) inability to satisfy quality standards. Garment producers found in the Accra-Tema metropolis did not have much knowledge of computer technology, but they were delighted about the information that would relieve them of their problem of speed and productivity. Although they listed some disadvantages that may be related to CAD, the advantages outweighed the disadvantages. The study makes recommendation to incorporate computer technology in the fashion curriculum to equip students with the skills ready for the world of work. Keywords: African Growth and Opportunity Act, Computer Aided Design,

Grading zero waste design using digital and virtual methods

Doctor of PhilosophyDepartment of Apparel, Textiles, and Interior DesignSherry J. HaarTraditional practices of pattern cutting within the apparel industry result in a considerable portion of fabric waste that negatively impacts the environment. Currently, garment manufacturers make responding to fashion trends, at the lowest possible cost, the main priority, regardless of fabric waste, to ensure economic profit. Besides, one of the sustainable challenges when working with zero waste design (ZWD) is the feasibility of pattern grading under the current apparel production system. Thus, the purpose of this experimental study was to explore the feasibility of grading zero waste garments for industry production using digital and virtual methods. The main research questions in this study were: What pattern piece adjustments and marker layouts achieve both 100% marker efficiency and accurate virtual visual appearance? Can digital 3D simulation be used as an effective and sustainable sizing and fit assessment tool? Does attachment and appreciation of ZWD influence expert judges’ evaluation of visual accuracy? The first research question was answered through a functional design process that included three phases: sample development, grading and marker making, digital and virtual testing of marker adjustments, and marker refinement. The application of typical and novel marker making and design tactics for functional utilization of the cuts offs resulting in no fabric waste of the mixed marker of the graded sizes was explored. As a result, a system of four different adjustment methods were applied to reach 100% marker efficiency while maintaining visual accuracy. Multiple challenges regarding the use of 3D simulation to create virtual samples were encountered. To answer the second and third research questions, an online questionnaire was utilized to collect assessment related to the efficiency of the graded virtual samples compared to the physical based on particular design criteria. Two judge groups participated in this study, zero waste design academic researchers and industry technical designers. The judges compared the samples via video, between and across groups. The findings indicated that the use of 3D simulation was mostly challenging for grading ZWD while maintaining 100% marker efficiency and visual accuracy. Judges suggested that the 3D simulation would be a useful, sustainable tool for fit and appearance assessment to decrease the number of physical samples; however, major improvements for the software were recommended before the physical sample could be eliminated. These findings contribute to understanding the effectiveness of sizing zero waste design and use of 3D virtual simulation as an assessment method, which promotes sustainable development through pattern making within the production methods in the apparel industry. Technical judges had more agreement than ZWD judges regarding the similarity between virtual and physical samples, and the sufficiency of information provision by virtual samples that would replace physical samples. Thus, ZWD judges had higher expectations for virtual technology. This finding indicated a relationship between attachment and appreciation of sustainability in fashion with the adoption of advanced practices to develop sustainable fashion design through the functional design process

Evaluating the Benefits of Computer Aided-Design (CAD) in Fashion Education, the Case of Accra Polytechnic

The main purpose of this research was to evaluate the introduction and use of Computer-Aided Designing (CAD) in Fashion Education in Accra Polytechnic over a three - year period (2009-2012). It was revealed that some level of CAD has been inculcated into Fashion Education in the institution in the three specializations (Fashion production, Textiles and Fashion design) as they use the softwares available to draw garments, developing motifs for textiles prints and also to draw human figures. However, there were some challenges confronting the department and the students as well, some of which include insufficient computers and the requisite software equipment. It was recommended, that a CAD Resource Centre for Fashion Education should be set up in Accra with a state-of-the-art hard and software which will provide a suitable environment for teaching and learning for the training of Fashion Design and Textiles students. Also, CAD should be introduced early so that it will motivate students to search for and learn the commands that allow for actions and operations in CAD to enhance creativity and innovation. Keywords: Computer Aided Design (CAD), Skills, Nuffi

Investigating the use of semantic technologies in spatial mapping applications

Semantic Web Technologies are ideally suited to build context-aware information retrieval applications. However, the geospatial aspect of context awareness presents unique challenges such as the semantic modelling of geographical references for efficient handling of spatial queries, the reconciliation of the heterogeneity at the semantic and geo-representation levels, maintaining the quality of service and scalability of communicating, and the efficient rendering of the spatial queries' results. In this paper, we describe the modelling decisions taken to solve these challenges by analysing our implementation of an intelligent planning and recommendation tool that provides location-aware advice for a specific application domain. This paper contributes to the methodology of integrating heterogeneous geo-referenced data into semantic knowledgebases, and also proposes mechanisms for efficient spatial interrogation of the semantic knowledgebase and optimising the rendering of the dynamically retrieved context-relevant information on a web frontend

DTI Economics Paper No. 2: A comparative study of the British and Italian Textile and Clothing Industries.

Commissioned by: Association of Suppliers to the British Clothing Industry Conference, Hucknell, Nottingham, February 2004 During the 1990s the Italian clothing and textiles industry grew while the British, French and German textile and clothing industries declined by 40%. In 2001 the Italian textiles & clothing sector was three times larger than the British, accounting for 11.7% of Italian manufacturing output but only 3.3% in Britain. In 2000 Italian fabric exports were 15 times that of the UK. The study was conducted in response to a recommendation by the Textiles and Clothing Strategy Group (TCSG), comprising UK industry, trade unions, Higher Education and the DTI. The purpose of the study was to account for these differences, assess relative merits against value for money and identify best practice in the Italian industry. The methodology comprised comparative analysis and case studies of British and Italian textile mills and tailoring manufacturers, based on my initial recommendations. We visited 5 textile mills in Yorkshire and 15 in Italy plus 3 factories in each country. I conducted a detailed comparative technical analysis of the construction of suit jackets against 13 devised criteria, a number of interviews,compared technologies, equipment and manufacturing methods across all factories, against 8 criteria, drawing on my specialist knowledge and experience as a menswear clothing technologist. The technical reports I compiled formed a section of the final report. Findings were presented to the Clothing Strategy Group and published by the DTI as their Economic Paper No 2 . I made further presentations to industry and academic groups including ASBCI, FCDE, The Textile Society, Savile Row Tailors Association, and LSE. Other outcomes were a publication in the Journal of the Textile Society Text, an article in Selvedge magazine and contributions to the Encyclopaedia of Clothing by Thomson Gale. As a result of this research further consultancy projects have been conducted with the Industry Forum and ASBCI

An investigation into Indian apparel and textile supply chain networks

The activities of the Indian clothing industry supplying Western markets have been investigated, with particular reference to identifying where improvements could be made to supply chain management. Focus group discussions, case studies and questionnaire analysis established that long lead-times in pre-production areas were of great concern. However Indian apparel manufacturers were found to be more cost conscious and rather less conscious about the value of time in pre-production areas. It was found that pre-production activities constituted 73% of total manufacturing lead time and have high positive correlation (0.96) with total manufacturing lead time. Preproduction activities in India mainly consist of prototype making and pre-production sample development; of which approval processes were found to have a high correlation (0.63) with pre-production. A significant (more than 50%) time of all activities consist of waiting time, which has positive influence on total lead time (0.86)

A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics

In this paper, we propose an Intelligent Decision Support System (IDSS) for the design of new textile fabrics. The IDSS uses predictive analytics to estimate fabric properties (e.g., elasticity) and composition values (% cotton) and then prescriptive techniques to optimize the fabric design inputs that feed the predictive models (e.g., types of yarns used). Using thousands of data records from a Portuguese textile company, we compared two distinct Machine Learning (ML) predictive approaches: Single-Target Regression (STR), via an Automated ML (AutoML) tool, and Multi-target Regression, via a deep learning Artificial Neural Network. For the prescriptive analytics, we compared two Evolutionary Multi-objective Optimization (EMO) methods (NSGA-II and R-NSGA-II) when optimizing 100 new fabrics, aiming to simultaneously minimize the physical property predictive error and the distance of the optimized values when compared with the learned input space. The two EMO methods were applied to design of 100 new fabrics. Overall, the STR approach provided the best results for both prediction tasks, with Normalized Mean Absolute Error values that range from 4% (weft elasticity) to 11% (pilling) in terms of the fabric properties and a textile composition classification accuracy of 87% when adopting a small tolerance of 0.01 for predicting the percentages of six types of fibers (e.g., cotton). As for the prescriptive results, they favored the R-NSGA-II EMO method, which tends to select Pareto curves that are associated with an average 11% predictive error and 16% distance.This work was carried out within the project "TexBoost: less Commodities more Specialities" reference POCI-01-0247-FEDER-024523, co-funded by Fundo Europeu de Desenvolvimento Regional (FEDER), through Portugal 2020 (P2020)

Application Failure Mode Effect Analysis for Risk Management in New Costumer Acceptance Project in Garment Industry with approaching Project Management Body of Knowledge

Purpose: This research aims to identify risks at the time of fulfillment of the requirements set by the customer and determine their mitigation.   Method: In order to achieve the goal, researchers use the PMBOK approach that focuses on risk management by creating WBS and RBS. From the existing risks assessed using the FMEA method by conducting a survey to get the S, O and D values then calculating the RPN.    Result: the highest RPN value in this study is 330 at risk 5.2. The understanding of PIC system and procedures in making the system, based on the result of brainstorming is decided that the mitigation is recruiting employee who is experienced in applying BSCI and factory evaluation audits due to the unavailability of employees who will become PIC compliance.   &nbsp

ICS Materials. Towards a re-Interpretation of material qualities through interactive, connected, and smart materials.

The domain of materials for design is changing under the influence of an increased technological advancement, miniaturization and democratization. Materials are becoming connected, augmented, computational, interactive, active, responsive, and dynamic. These are ICS Materials, an acronym that stands for Interactive, Connected and Smart. While labs around the world are experimenting with these new materials, there is the need to reflect on their potentials and impact on design. This paper is a first step in this direction: to interpret and describe the qualities of ICS materials, considering their experiential pattern, their expressive sensorial dimension, and their aesthetic of interaction. Through case studies, we analyse and classify these emerging ICS Materials and identified common characteristics, and challenges, e.g. the ability to change over time or their programmability by the designers and users. On that basis, we argue there is the need to reframe and redesign existing models to describe ICS materials, making their qualities emerge