Master of Science in Textile & Clothing Management
http://dl.lib.uom.lk/handle/123/73
2024-03-28T10:13:09ZUplift circular fashion business through application of virtual prototyping for refashioning
http://dl.lib.uom.lk/handle/123/18774
Uplift circular fashion business through application of virtual prototyping for refashioning
Bandulahewa B K M
As a dynamic industry in the globe, the fashion industry is still growing with constantly
changing trends. Even though the apparel industry is transforming with new technology and
innovation, the limitations in waste management systems and traditional take – make – waste
linear business models accumulate higher level of waste every day. Therefore, the industry
demands more circular initiatives such as upcycling (redesign and refashion); green and clean
lifecycles of products; timeless designs; Product Service Systems (PSS) such as rent lease,
swap, secondhand/ vintage clothing; on demand production under circular fashion business
models. Circular fashion concept is one of the key aspects in the circular economy, which
aims to minimize the waste and optimize the resources. Though the published literature
profusely discussed the sustainable fashion, there is still a gap between how theory applies
into practice. On the other hand, digital technologies (mostly CAD technologies) are
emerging to enable strategic adoptions into the apparel industry such as on demand
manufacturing, mass customization and virtualization; which controls unnecessary
productions, thus waste. Therefore, the aim of this research was to explore digital technology
applications (CAD and Blockchain technology) to establish a new venture in circular fashion
business. Accordingly, the study tested the viability of utilizing 2D/3D CAD technologies in
proposed circular fashion business approach. In particular, it focused on the capabilities of
aforementioned digital technologies for a novel business model for circular fashion, focusing
refashioning second-hand clothing. Importantly, 2D/3D CAD technologies were utilized in
re-fashioning the second-hand clothes while the Blockchain technology was suggested to
establish the traceability and as a networking tool for the supply chain in proposed circular
fashion business. Subsequently, this business model was developed with the contribution of
industry (CAD and fashion design) experts. As a result, this study extends the existing
circular fashion business model with a novel approach of digital technologies and tested CAD
applications. This proposed model suggests longevity of product lifespan by encouraging the
refashioning second-hand clothing as an upcycling option through CAD and relevant digital
technology.
2021-01-01T00:00:00ZCharacterization of new natural cellulosic fibre from lasia spinosa (L.) thwaites rhizome for biodegradable textile material
http://dl.lib.uom.lk/handle/123/16647
Characterization of new natural cellulosic fibre from lasia spinosa (L.) thwaites rhizome for biodegradable textile material
Rathnapala MHMT
This study presents the characteristics of Lasia spinosa fibres (LSFs) extracted from the rhizome of the Lasia spinosa (L.) Thwaites (LS), a plant which is commonly available in the Asian region as a medicinal plant which has not been investigated previously with the intension of exploring the feasibility in developing a textile material. Two common species, Lamina dissected type and Sagittate type plant rhizome fibres were investigated with the use of fibre characterization tools and methods. Mechanical extraction and Alkali extraction methods were followed in extracting fibres from rhizomes. Morphological properties of fibres such as longitudinal section and cross section views were studied using Scanning Electron Microscopy (SEM). Chemical functional groups and crystalline structure, were investigated using Fourier Transform Infrared Spectroscopy (FTIR) and X-Ray Diffraction analysis (XRD) respectively. Thermal stability of the fibre was investigated using Thermogravimetric Analyzer (TGA). In addition, fibre properties were investigated by the way of measuring tensile properties, moisture absorbency and dye uptake.
The rhizome anatomy and the fibre morphological observations through SEM reveals fibres are presents in rhizome in the form of scattered vascular bundles with crimp. Each bundle contains approximately 16-25 microfibrils. The FTIR analysis confirms the fibres are rich in cellulose and the X-RD results confirm higher amount of amorphous regions in fibres with a crystallinity index of 43% with a lower amount of crystal phases. Higher moisture regains of 12.54 -14.5%, single fibre tensile strength of 201-205 MPa, higher breaking elongation of 16.89% and 1.3 GPa of Young’s modulus with a thermal stability temperature of 230℃ were the some of the values obtained in this research project. All the results obtained were compared with the characteristics of Cotton fibre.
2020-01-01T00:00:00ZFactors affecting absenteeism :
http://dl.lib.uom.lk/handle/123/16742
Factors affecting absenteeism :
Udawatta UDSL
Sri Lankan apparel industry is the primary foreign exchange earner accounting to 40% of the total exports as per Export Development Board (EDB) and 52% of industrial products exports in 2018. According to them, there are apparel manufactures in large, medium and small scale and most of them are small and medium entrepreneurs (SMEs) which spread throughout the country. Employee absenteeism is one of the typical issues in the apparel sector in Sri Lanka. Maintaining lower employee absenteeism rate is essential factor for continuing growth of any organization and well identified influencing factors help to manage absenteeism properly. The main objective of the research is to find the factors affecting the absenteeism in small scale garment manufacturing plants in Sri Lanka. With the intention of achieving this objective, carefully designed questionnaire was distributed among the population (64 employees) of a small scale garment manufacturing plant which is struggling to minimize absenteeism rate from 7% to 5%. Further, there was a research gap on influencing factors of absenteeism in company level. Correlation analysis techniques used in testing developed hypothesis and research outcomes show physical work place environment, illness/personal matters, working climate, superior commitment, work related stress are positively correlated with the employee absenteeism. In conclusion, these factors increase absenteeism significantly in this factory. In this manner, recommendations were suggested to the top management after finding genuine factors which hid behind the problem.
2020-01-01T00:00:00ZA Model for predicting the stretch and recovery test results of single jersey fabric
http://dl.lib.uom.lk/handle/123/18764
A Model for predicting the stretch and recovery test results of single jersey fabric
Amarasinghe A ATD
In the Textile Testing field fabrics are tested based on the international standards recorded in
test methods. The stretch and recovery test is one of the important textile tests used to
measure the extension and recovery of a fabric under a target load. This test is performed
using a tensile testing machine, usually of the Constant Rate of Extension (CRE) type. The
time allocated to complete the test is considerably high due to the high time requirement for
preconditioning, conditioning, sample preparation and testing. The stretch and recovery test
report results are very critical and urgent most of the time. However, due to the time
constraint, it may not be possible to deliver the reports to the customers on time. Therefore,
this research has been carried out to predict the stretch and recovery test results for single
jersey fabric without performing the physical test procedures.
This research aims to design a mathematical model to predict the stretch and recovery for
single jersey fabric. In achieving this objective, the quantitative method was applied. A
theoretical framework was constructed grounded on a comprehensive analysis of the related
literature. Resultant models derived during the analysis stage, then validated, and a simple
tool has been implemented to be used by the laboratory staff. The model has shown more
than 76% of accuracy, but it could be further validated by increasing the sample size and by
revising the assumptions made during the study.
This research has a great benefit to textile laboratory staff since they can utilize minimum
resources for Stretch and Recovery Test. As the CRE machine requires more duration for the
test specimen preparation and more time to complete the test, testing staff will be able to use
the simple application developed based on the model derived as the result of this study.
2020-01-01T00:00:00Z