Shankar Chakraborty

About

Shankar Chakraborty is a prominent researcher specializing in multi-criteria decision-making (MCDM) methods and their practical applications in manufacturing environments, with a particular focus on industrial robot selection and resource optimization. His work has significantly advanced the field by systematically evaluating, comparing, and applying a wide array of MCDM techniques — including MOORA, WASPAS, compromise ranking, axiomatic design, and data envelopment analysis — to real-world industrial problems where selecting the right equipment or strategy can be transformative. Chakraborty's most influential contributions include his 2010 paper on MOORA applications in manufacturing (523 citations) and his 2014 work on the WASPAS method (447 citations), both of which have become essential references for researchers and practitioners navigating complex industrial decisions. His extensive series of studies on industrial robot selection, spanning fuzzy environments, preference dominance approaches, and ranking performance comparisons, demonstrates a sustained commitment to making decision-making tools accessible and reliable across diverse manufacturing contexts. More recently, his 2021 work on spray painting robot selection using SWARA-CoCoSo reflects his continued engagement with emerging robotic technologies. With over 1,500 cumulative citations, Chakraborty's research has meaningfully shaped how manufacturing organizations approach systematic, data-driven decision-making.

Research Focus

Key Achievements

Top Papers

1. 1
   Applications of the MOORA method for decision making in manufacturing environment

   523 citations · 2010
2. 2
   Applications of WASPAS Method in Manufacturing Decision Making

   447 citations · 2014
3. 3
   Selection of industrial robots using compromise ranking and outranking methods

   181 citations · 2010
4. 4
   A study on the ranking performance of some MCDM methods for industrial robot selection problems

   126 citations · 2016
5. 5
   A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection

   120 citations · 2011
6. 6
   A SWARA-CoCoSo-Based Approach for Spray Painting Robot Selection

   84 citations · 2021
7. 7
   Selection of industrial robots using compromise ranking method

   35 citations · 2012
8. 8
   A solution to robot selection problems using data envelopment analysis

   30 citations · 2013
9. 9
   Selection of industrial robot using axiomatic design principles in fuzzy environment

   20 citations · 2015
10. 10
    A comparative study of preference dominance-based approaches for selection of industrial robots

    19 citations · 2014

Key Collaborators

Contact & Links