Integrating AHP with QFD for robot selection under requirement perspective A Bhattacharya, B Sarkar*, SK Mukherjee International journal of production research 43 (17), 3671-3685, 2005 | 296 | 2005 |
A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology MC Das, B Sarkar, S Ray Socio-Economic Planning Sciences 46 (3), 230-241, 2012 | 226 | 2012 |
Distance-based consensus method for ABC analysis A Bhattacharya, B Sarkar, SK Mukherjee International Journal of Production Research 45 (15), 3405-3420, 2007 | 185 | 2007 |
Selection of best intelligent manufacturing system (ims) under fuzzy moora conflicting mcdm environment UK Mandal, B Sarkar International Journal of Emerging Technology and Advanced Engineering 2 (9 …, 2012 | 141 | 2012 |
Selection of opencast mining equipment by a multi-criteria decision-making process B Samanta, B Sarkar, SK Mukherjee Mining Technology 111 (2), 136-142, 2002 | 125 | 2002 |
A MOORA based fuzzy multi-criteria decision making approach for supply chain strategy selection B Dey, B Bairagi, B Sarkar, S Sanyal International Journal of Industrial Engineering Computations 3 (4), 649-662, 2012 | 103 | 2012 |
Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria B Dey, B Bairagi, B Sarkar, SK Sanyal International Journal of Management Science and Engineering Management 11 (4 …, 2016 | 96 | 2016 |
Learning transfer system inventory (LTSI) and knowledge creation in organizations A Chatterjee, A Pereira, B Sarkar The Learning Organization 25 (5), 305-319, 2018 | 94 | 2018 |
Determination of quality value of cotton fibre using hybrid AHP-TOPSIS method of multi-criteria decision-making A Majumdar, B Sarkar, PK Majumdar Journal of the Textile Institute 96 (5), 303-309, 2005 | 89 | 2005 |
Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain B Dey, B Bairagi, B Sarkar, SK Sanyal Computers & industrial engineering 105, 101-122, 2017 | 88 | 2017 |
An integrated fuzzy multiple criteria supplier selection approach and its application in a welding company S Sarkar, DK Pratihar, B Sarkar Journal of manufacturing systems 46, 163-178, 2018 | 82 | 2018 |
MCA based performance evaluation of project selection T Bakshi, B Sarkar arXiv preprint arXiv:1105.0390, 2011 | 79 | 2011 |
Application of an adaptive neuro-fuzzy system for the prediction of cotton yarn strength from HVI fibre properties A Majumdar, PK Majumdar, B Sarkar Journal of the Textile Institute 96 (1), 55-60, 2005 | 79 | 2005 |
Developing an efficient decision support system for non-traditional machine selection: an application of MOORA and MOOSRA A Sarkar, SC Panja, D Das, B Sarkar Production & Manufacturing Research 3 (1), 324-342, 2015 | 73 | 2015 |
Determination of the technological value of cotton fibre: a comparative study of the traditional and multiple-criteria decision-making approaches A Majumdar, PK Majumdar, B Sarkar AUTEX Research Journal 5 (2), 71-80, 2005 | 69 | 2005 |
Soiling and dust impact on the efficiency and the maximum power point in the photovoltaic modules ES Kumar, B Sarkar, DK Behera International Journal of Engineering Research & Technology (IJERT) 2 (2), 1-8, 2013 | 66 | 2013 |
The TOC-based algorithm for solving multiple constraint resources A Ray, B Sarkar, S Sanyal IEEE Transactions on Engineering Management 57 (2), 301-309, 2009 | 63 | 2009 |
Dynamic schedule execution in an agent based holonic manufacturing system TK Jana, B Bairagi, S Paul, B Sarkar, J Saha Journal of Manufacturing Systems 32 (4), 801-816, 2013 | 58 | 2013 |
Detection of level of satisfaction and fuzziness patterns for MCDM model with modified flexible S-curve MF P Vasant, A Bhattacharya, B Sarkar, SK Mukherjee Applied Soft Computing 7 (3), 1044-1054, 2007 | 57 | 2007 |
Decision making under conflicting environment: a new MCDM method MC Das, B Sarkar, S Ray International Journal of Applied Decision Sciences 5 (2), 142-162, 2012 | 56 | 2012 |