Papers in special issue
| Title | Contributor(s) | Technique used | Focus of research |
|---|---|---|---|
| Engineering UPF and comfort parameters of knitted fabrics and validation using statistical techniques | M.K. Imrith, S. Rosunee, R. Unmar | Statistics, multiple linear regression | Air permeability, fabric comfort, thermal resistance |
| A rough set approach for classification of fabric defects | S. Das, A. Ghosh | Rough set theory, decision rules, classification | Fabric defects |
| Structural modelling of 100% cotton single jersey fabrics for optimum UV protection | M.K. Imrith, S. Rosunee, R. Unmar | Optimization | Knitted fabrics, UV protection |
| Efficiency evaluation and loan assessment of fashion upcyclers in Liberia using Fuzzy, DEA, and FIS models | P. D. Sumo, X. Ji, L. Cai | Fuzzy systems modeling, data envelopment analysis, optimization | Textile sustainability, recycling of textiles |
| A simultaneous balancing and sequencing algorithm to plan assembly lines in the fashion industry | J.K. Perret | Multiobjective optimization, genetic algorithm | Line balancing and textile operations planning, fashion industry |
| Statistical insights on the effect of twill angle on denim fabrics skewness | A. Ramadan | Statistical learning, data visualization | Fabric deformation, twill angle |
| Using an optimization model to support small sewing companies: A case study in a Brazilian textile cluster | J. Leão, L. de Sousa Pereira, M.L.X. Cavalcanti | Optimization, network model | Fashion industry, sewing operations, supply chain |
| Are handloom micro-enterprises in India efficient? Estimations based on DEA and bootstrap truncated regression approach | B.K. Dey, U.K. Paul, G. Das | Regression, bootstrap, data envelopment analysis | Handloom industry |
| What drives the profitability of Indian handloom enterprises? An insight based on the seemingly unrelated regression models | B.K. Dey, U.K. Paul | Regression, descriptive analytics | Handloom industry, profitability of textile industry |
| Title | Contributor(s) | Technique used | Focus of research |
|---|---|---|---|
| Engineering UPF and comfort parameters of knitted fabrics and validation using statistical techniques | M.K. Imrith, S. Rosunee, R. Unmar | Statistics, multiple linear regression | Air permeability, fabric comfort, thermal resistance |
| A rough set approach for classification of fabric defects | S. Das, A. Ghosh | Rough set theory, decision rules, classification | Fabric defects |
| Structural modelling of 100% cotton single jersey fabrics for optimum UV protection | M.K. Imrith, S. Rosunee, R. Unmar | Optimization | Knitted fabrics, UV protection |
| Efficiency evaluation and loan assessment of fashion upcyclers in Liberia using Fuzzy, DEA, and FIS models | P. D. Sumo, X. Ji, L. Cai | Fuzzy systems modeling, data envelopment analysis, optimization | Textile sustainability, recycling of textiles |
| A simultaneous balancing and sequencing algorithm to plan assembly lines in the fashion industry | J.K. Perret | Multiobjective optimization, genetic algorithm | Line balancing and textile operations planning, fashion industry |
| Statistical insights on the effect of twill angle on denim fabrics skewness | A. Ramadan | Statistical learning, data visualization | Fabric deformation, twill angle |
| Using an optimization model to support small sewing companies: A case study in a Brazilian textile cluster | J. Leão, L. de Sousa Pereira, M.L.X. Cavalcanti | Optimization, network model | Fashion industry, sewing operations, supply chain |
| Are handloom micro-enterprises in India efficient? Estimations based on DEA and bootstrap truncated regression approach | B.K. Dey, U.K. Paul, G. Das | Regression, bootstrap, data envelopment analysis | Handloom industry |
| What drives the profitability of Indian handloom enterprises? An insight based on the seemingly unrelated regression models | B.K. Dey, U.K. Paul | Regression, descriptive analytics | Handloom industry, profitability of textile industry |
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.