A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process
Textile manufacturing is a typical traditional industry involving high complexity in
interconnected processes with limited capacity on the application of modern technologies …
interconnected processes with limited capacity on the application of modern technologies …
A modified EDAS model for comparison of mobile wallet service providers in India
The present paper has two-fold purposes. First, the current work provides an integrated
theoretical framework to compare popular mobile wallet service providers based on users' …
theoretical framework to compare popular mobile wallet service providers based on users' …
A toolset for complex decision-making in analyze phase of Lean Six Sigma project: a case validation
Purpose The analyze phase of Lean Six Sigma (LSS) project is an important phase where
the project heads and organizational directors need to select the critical issues for further …
the project heads and organizational directors need to select the critical issues for further …
Selection of cotton fabrics using EDAS method
A Mitra - Journal of Natural Fibers, 2022 - Taylor & Francis
In this paper, a relatively new and mathematically potent tool of MCDM (Multi-Criteria
Decision Making) in the form of EDAS (Evaluation based on Distance from Average …
Decision Making) in the form of EDAS (Evaluation based on Distance from Average …
Exploration and prioritization of just in time enablers for sustainable health care: an integrated GRA-Fuzzy TOPSIS application
Purpose The increased health-care costs, improved service quality and sustainability-
oriented customer demand have forced the health-care sector to relook their current …
oriented customer demand have forced the health-care sector to relook their current …
Application of Reinforcement Learning to Dyeing Processes for Residual Dye Reduction
W Lee, SMM Sajadieh, HK Choi, J Park… - International Journal of …, 2024 - Springer
Sustainability has become a prominent theme in the manufacturing industry, with an
emphasis on optimal process configurations that enable environmentally friendly and …
emphasis on optimal process configurations that enable environmentally friendly and …
Application of multi-objective optimization on the basis of ratio analysis (MOORA) for selection of cotton fabrics for optimal thermal comfort
A Mitra - Research journal of textile and apparel, 2022 - emerald.com
Purpose Selection of fabrics for particular purposy-e has created lots of research interest
over the years, and the said problems have been addressed by several researchers using …
over the years, and the said problems have been addressed by several researchers using …
Selection of Khadi fabrics for optimal comfort properties using multi-criteria decision-making technique
A Mitra - Research Journal of Textile and Apparel, 2023 - emerald.com
Purpose Khadi fabrics are known for their unique comfort properties which are attributed to
their unique structural and functional properties. For getting optimal comfort from a collection …
their unique structural and functional properties. For getting optimal comfort from a collection …
Jute fiber gradation by grey fuzzy logic approach
A Mitra - Journal of Natural Fibers, 2022 - Taylor & Francis
Jute fiber has a great role in Indian economy. Since, jute fiber quality varies one place to
another owing to various reasons, it becomes imperative to go for classification and …
another owing to various reasons, it becomes imperative to go for classification and …
Fabrics recommendation for fashion design by using fuzzy logic and rough sets
M Dong, X Zeng, L Koehl, J Zhang - Journal of Fuzzy Logic and …, 2022 - benthamdirect.com
Background: Fabric is one of the keys and vital design factors in fashion design. However,
the selection of relevant fabrics is rather complex for designers and managers due to the …
the selection of relevant fabrics is rather complex for designers and managers due to the …