Debamalya Banerjee

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Minimize Noise Dose Exposure by Karnaugh Map Technique for a Small Scale Manufacturing Industry in West Bengal of India

Pijush Kanti Bhattacharjee, Tirtharaj Sen, Debamalya Banerjee, 2011 .

Multi-objective optimization of air permeability and thermal conductivity of knitted fabrics with desired ultraviolet protection

Prithwiraj Mal, Abhijit Majumdar, Debamalya Banerjee, 2017 .

Production of Engineered Fabrics Using Artificial Neural Network–Genetic Algorithm Hybrid Model

Debamalya Banerjee, Ashis Mitra, Prabal Kumar Majumdar, 2015 .

Multi Objective Optimization of Yarn Quality and Fibre Quality Using Evolutionary Algorithm

Anindya Ghosh, Debamalya Banerjee, Subhasis Das, 2013 .

A Two-Phase Multi-criteria Fuzzy Group Decision Making Approach for Supplier Evaluation and Order Allocation Considering Multi-objective, Multi-product and Multi-period

Debamalya Banerjee, Ashoke Kumar Bera, Dipak Kumar Jana, 2020 .

Analysis of Knitting Process Variables and Yarn Count Influencing the Thermo-physiological Comfort Properties of Single Jersey and Rib Fabrics

Anindya Ghosh, Prithwiraj Mal, Abhijit Majumdar, 2016 .

Multi-item two warehouse inventory model for deteriorating item under partial credit period via Contractive Mapping Genetic Algorithm and PSO

Dipak Kumar Jana, Debamalya Banerjee, Ashoke Kumar Bera, 2020 .

An Investigation On Air and Thermal Transmission Through Knitted Fabric Structures Using the Taguchi Method

Prithwiraj Mal, Abhijit Majumdar, Debamalya Banerjee, 2017 .

Application Of Taguchi Method For Improvement Of An Industrial Product----A Study On Quality Engineering

Debamalya Banerjee, Subrata Maitra, Dilip Kumar Biswas, 2013 .

Supplier selection using extended IT2 fuzzy TOPSIS and IT2 fuzzy MOORA considering subjective and objective factors

Dipak Kumar Jana, Debamalya Banerjee, Ashoke Kumar Bera, 2019, Soft Computing.

Multiple-criteria fuzzy group decision-making with multi-choice goal programming for supplier selection: A case study

Dipak Kumar Jana, Debamalya Banerjee, Ashoke Kumar Bera, 2019, Discret. Math. Algorithms Appl..

Resilient supplier selection under a fuzzy environment

Amitava Ray, Debamalya Banerjee, Surojit Ghosh, 2014 .

Multi-objective Optimization of Knitted Fabric Comfort and Ultraviolet Radiation Protection by Evolutionary Algorithm

Prithwiraj Mal, Abhijit Majumdar, Debamalya Banerjee, 2014, SocProS.

An Integrated Approach for Supplier Selection

Amitava Ray, Debamalya Banerjee, Surojit Ghosh, 2012 .

Diesel Locomotive Cockpit - Exploring Ergonomic Problems and Some Design Solutions

Arindam Dutta, Debamalya Banerjee, Kaustabh Chatterjee, 2015 .

Design and performance evaluation of Automated Guided Vehicle System AGVS for flexible manufacturing systems

Debamalya Banerjee, 2005 .

Yarn Strength Modelling Using Genetic Fuzzy Expert System

Anindya Ghosh, Debamalya Banerjee, Subhasis Das, 2012 .

Ergonomic evaluation of postures of workers, working in painting of buildings in India and suggesting for design improvements of implements

Debamalya Banerjee, Aniket Pal, 2014 .

A Decision-Making Framework for Green Supplier Selection Using FAHP and Taguchi Quality Loss Functions

Dipak Kumar Jana, Debamalya Banerjee, Ashoke Kumar Bera, 2019, ICMC.

Engineering of Knitted Cotton Fabrics for Optimum Comfort in a Hot Climate

Prithwiraj Mal, Abhijit Majumdar, Debamalya Banerjee, 2016 .

Application of Fuzzy Cognitive Mapping for Cognitive Task Analysis in Mechanised Mines

Debamalya Banerjee, Subrata Maitra, Debamalya Banerjee, 2014 .

Soft Computing Applications in Fabrics and Clothing: A Comprehensive Review

Abhijit Majumdar, Debamalya Banerjee, Ashis Mitra, 2010 .

Selection of 3D Printers for Educational Institutions using ANP- Similarity based Approach

Debapriyo Paul, Debamalya Banerjee, Puneet Kumar Agarwal, 2015 .

Conditional Analysis of 250MW Turbo Power Generators using PROMETHEE

Somnath Gangopadhyay, Debamalya Banerjee, Saurav Nandia, 2017 .

A Group Evaluation Method for Supplier Selection Based on GSCM Practices in an Indian Manufacturing Company

Dipak Kumar Jana, Debamalya Banerjee, Ashoke Kumar Bera, 2019, ICITAM.

Comparative analysis of regression and ANN models for predicting drape coefficient of handloom fabrics

Abhijit Majumdar, Debamalya Banerjee, Ashis Mitra, 2012 .

An Integrated model for Product Quality Development—A case study on Quality functions deployment and AHP based approach

Debamalya Banerjee, Subrata Maitra, 2010 .

Analysis of Noise Emitted from Electrical Machines Using TOPSIS Technique

Pijush Kanti Bhattacharjee, Bijan Sarkar, Tirtharaj Sen, 2012 .

A hybrid MCDM model for resilient supplier selection

Amitava Ray, Debamalya Banerjee, Surojit Ghosh, 2012 .

A group evaluation method for supplier selection based on interval type-2 fuzzy TOPSIS method

Dipak Kumar Jana, Debamalya Banerjee, Titas Nandy, 2021 .

Estimation of raw silk quality using rough set theory

Debamalya Banerjee, Niharendu Bikash Kar, Anindya Ghosh, 2021, The Journal of The Textile Institute.

A comparative analysis of different hybrid MCDM techniques considering a case of selection of 3D printers

Debapriyo Paul, Debamalya Banerjee, Puneet Kumar Agarwal, 2015 .

Yarn engineering using hybrid artificial neural network-genetic algorithm model

Anindya Ghosh, Abhijit Majumdar, Debamalya Banerjee, 2013, Fibers and Polymers.

Engineering design of woven fabrics using non-traditional optimization methods: A comparative study

Anindya Ghosh, Debamalya Banerjee, Anindya Ghosh, 2013, Fibers and Polymers.