Enhancing the employability of fashion students through the use of 3D CAD

The textile and apparel industry has one of the longest and most intricate supply chains within manufacturing. Advancement in technology has facilitated its globalisation, enabling companies to span geographical borders. This has led to new methods of communication using electronic data formats. Throughout the latter part of the 20th Century, 2D CAD technology established itself as an invaluable tool within design and product development. More recently 3D virtual simulation software has made small but significant steps within this market. The technological revolution has opened significant opportunities for those forward thinking companies that are beginning to utilise 3D software. This advanced technology requires designers with unique skill sets. This paper investigates the skills required by fashion graduates from an industry perspective. To reflect current industrial working practices, it is essential for educational establishments to incorporate technologies that will enhance the employability of graduates. This study developed an adapted action research model based on the work of Kurt Lewin, which reviewed the learning and teaching of 3D CAD within higher education. It encompassed the selection of 3D CAD software development, analysis of industry requirements, and the implementation of 3D CAD into the learning and teaching of a selection of fashion students over a three year period. Six interviews were undertaken with industrial design and product development specialists to determine: current working practices, opinions of virtual 3D software and graduate skill requirements. It was found that the companies had similar working practices independent of the software utilised within their product development process. The companies which employed 3D CAD software considered further developments were required before the technology could be fully integrated. Further to this it was concluded that it was beneficial for graduates to be furnished with knowledge of emerging technologies which reflect industry and enhance their employability skills

The Knowledge-based Economy: Trends and Implications for Pakistan

Economic history has witnessed transformation from Agriculture based to Manufacturing based economies over the time. This transformation had its effects on social structure of the communities, as new types of jobs were created in the manufacturing industries, and new life styles of metropolitan culture evolved. A similar transformation is now taking place as; business has grown global over the last years, making the present business atmosphere further competitive, fast and fluid. Technological and political events taking place across the world affect us as strongly as something happening in our neighbourhood. The two most recent and prominent developments of present times that have changed our economic activities are: (1) Globalisation; (2) Increase in Information and Communication Technologies (ICT). Globalisation is most obvious, as the volume of global trade and products has expanded manyfold. The world economies are opening up to new world horizons. Developments in Information Technology has increased the pace of the events, bringing new products to markets from all over the world, increasing the global watch and reach of the organisations. As a result of this, the companies are forced to reduce the costs and product development time of their products. Second prominent development taking place during this time is the increase in ICT. These ICTs (particularly Intranets/Internet) have provided new channels and means of acquiring knowledge and opened new doors of promising opportunities like e-business. Sharp decrease in cost of computer hardware and software, plus improvement in software development has been responsible for increasing number of firms using computers in their business processes. Computer has proved itself to be a revolutionary tool for management, its data and information processing capabilities has improved management in all domains.

A unified view of data-intensive flows in business intelligence systems : a survey

Data-intensive flows are central processes in today’s business intelligence (BI) systems, deploying different technologies to deliver data, from a multitude of data sources, in user-preferred and analysis-ready formats. To meet complex requirements of next generation BI systems, we often need an effective combination of the traditionally batched extract-transform-load (ETL) processes that populate a data warehouse (DW) from integrated data sources, and more real-time and operational data flows that integrate source data at runtime. Both academia and industry thus must have a clear understanding of the foundations of data-intensive flows and the challenges of moving towards next generation BI environments. In this paper we present a survey of today’s research on data-intensive flows and the related fundamental fields of database theory. The study is based on a proposed set of dimensions describing the important challenges of data-intensive flows in the next generation BI setting. As a result of this survey, we envision an architecture of a system for managing the lifecycle of data-intensive flows. The results further provide a comprehensive understanding of data-intensive flows, recognizing challenges that still are to be addressed, and how the current solutions can be applied for addressing these challenges.Peer ReviewedPostprint (author's final draft

Principles in Patterns (PiP) : Project Evaluation Synthesis

Evaluation activity found the technology-supported approach to curriculum design and approval developed by PiP to demonstrate high levels of user acceptance, promote improvements to the quality of curriculum designs, render more transparent and efficient aspects of the curriculum approval and quality monitoring process, demonstrate process efficacy and resolve a number of chronic information management difficulties which pervaded the previous state. The creation of a central repository of curriculum designs as the basis for their management as "knowledge assets", thus facilitating re-use and sharing of designs and exposure of tacit curriculum design practice, was also found to be highly advantageous. However, further process improvements remain possible and evidence of system resistance was found in some stakeholder groups. Recommendations arising from the findings and conclusions include the need to improve data collection surrounding the curriculum approval process so that the process and human impact of C-CAP can be monitored and observed. Strategies for improving C-CAP acceptance among the "late majority", the need for C-CAP best practice guidance, and suggested protocols on the knowledge management of curriculum designs are proposed. Opportunities for further process improvements in institutional curriculum approval, including a re-engineering of post-faculty approval processes, are also recommended

A multi-agent model for assessing electricity tariffs

This paper describes the framework for modelling a multi-agent approach for assessing dynamic pricing of electricity and demand response. It combines and agent-based model with decision-making data, and a standard load-flow model. The multi-agent model described here represents a tool in investigating not only the relation between different dynamic tariffs and consumer load profiles, but also the change in behaviour and impact on low-voltage electricity distribution networks.The authors acknowledge the contribution of the EPSRC Transforming Energy Demand Through Digital Innovation Programme, grant agreement numbers EP/I000194/1 and EP/I000119/1, to the ADEPT project

Patterns of industrial upgrading in the clothing industry in Poland and Romania

This paper aims at understanding the impact of industrial networks with foreign and other domestic organizations on industrial upgrading of the clothing companies in Poland and Romania over the past decade. The research presented in this paper is based on interviews carried out in ten large clothing companies in Poland and Romania. The paper shows that there are differing structural influences of buyer-driven global networks on the industrial upgrading of Polish and Romanian clothing firms. Taking these global buyers as exemplars to themselves, Polish and Romanian clothing firms follow relatively different upgrading patterns, experiencing more or less the same network relationships with foreign buyers whereas differing networks with other organizations in their countries. As the level of accumulation of knowledge and skills differs among the firms, the pace and level of upgrading differs too. This paper has proposed a stylized pattern but it should not be taken as inevitable since it also tries to show that some firms might skip some sequences. As a consequence, it is not a question of the positioning of the countries on a single upgrading ladder, but more accurately it is different upgrading ladders that have been climbed in each country. There is no single pattern for all of them

International Mobility of Engineers and the Rise of Entrepreneurship in the Periphery

entrepreneurship, knowledge economy, start-ups, information technology, venture capital, China, India, USA