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Shankar Chakraborty

Shankar Chakraborty

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
11622
World Ranking
2514
National Ranking
40

Overview

Shankar Chakraborty is affiliated with Jadavpur University in India and has contributed extensively to the field of Engineering, with a focus on Mechanical Engineering, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Management Science and Operations Research, and Biomedical Engineering.

Their research primarily covers topics such as Advanced Machining and Optimization Techniques, Advanced machining processes and optimization, Manufacturing Process and Optimization, Multi-Criteria Decision Making, Advanced Surface Polishing Techniques, Industrial Vision Systems and Defect Detection, and Metaheuristic Optimization Algorithms Research.

Shankar Chakraborty's recent scholarly output includes several papers with notable publication years and venues:

  • "An integrated D-MARCOS method for supplier selection in an iron and steel industry," 2020, Decision Making Applications in Management and Engineering
  • "Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities," 2020, Expert Systems with Applications
  • "A Scoping Review on the Applications of MCDM Techniques for Parametric Optimization of Machining Processes," 2022, Archives of Computational Methods in Engineering
  • "Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm," 2023, Applied Sciences
  • "A comprehensive and systematic review of multi-criteria decision-making methods and applications in healthcare," 2023, Healthcare Analytics

Frequent co-authors contributing to their work include Partha Protim Das, Prasenjit Chatterjee, Kanak Kalita, Santonab Chakraborty, and Rakesh D. Raut.

The scholar publishes regularly in varied venues, with significant contributions to:

  • International Journal on Interactive Design and Manufacturing (IJIDeM)
  • OPSEARCH
  • AIP conference proceedings
  • Decision Analytics Journal
  • Decision Making Applications in Management and Engineering

In addition to journal publications, Shankar Chakraborty has authored books published by Apple Academic Press eBooks and Springer International Publishing. Notable titles include "Multi-Criteria Decision-Making Methods in Manufacturing Environments" (2023) and "Proceedings of the International Conference on Industrial and Manufacturing Systems (CIMS-2020)" (2021).

Best Publications

  • Applications of the MOORA method for decision making in manufacturing environment

    Shankar Chakraborty

  • Applications of WASPAS Method in Manufacturing Decision Making

    Shankar Chakraborty;Edmundas Kazimieras Zavadskas

  • Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection

    Prasad Karande;Shankar Chakraborty

  • Materials selection using complex proportional assessment and evaluation of mixed data methods

    Prasenjit Chatterjee;Vijay Manikrao Athawale;Shankar Chakraborty

  • Material selection using preferential ranking methods

    Prasenjit Chatterjee;Shankar Chakraborty

  • Selection of materials using compromise ranking and outranking methods

    Prasenjit Chatterjee;Vijay Manikrao Athawale;Shankar Chakraborty

  • Decision making for facility location selection using PROMETHEE II method

    Vijay Manikrao Athawale;Prasenjit Chatterjee;Shankar Chakraborty

  • Selection of industrial robots using compromise ranking and outranking methods

    Prasenjit Chatterjee;Vijay Manikrao Athawale;Shankar Chakraborty

  • Parametric optimization of some non-traditional machining processes using artificial bee colony algorithm

    Suman Samanta;Shankar Chakraborty

  • Design of a material handling equipment selection model using analytic hierarchy process

    Shankar Chakraborty;Debabrata Banik

  • Cutting tool material selection using grey complex proportional assessment method

    Saikat Ranjan Maity;Prasenjit Chatterjee;Shankar Chakraborty

  • A combined TOPSIS-AHP-method-based approach for non-traditional machining processes selection

    N D Chakladar;S Chakraborty

  • A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection

    Vijay Manikrao Athawale;Shankar Chakraborty

  • A Scoping Review on the Applications of MCDM Techniques for Parametric Optimization of Machining Processes

    Unknown

  • Selection of wire electrical discharge machining process parameters using non-traditional optimization algorithms

    Rajarshi Mukherjee;Shankar Chakraborty;Suman Samanta

  • Recognition of control chart patterns using improved selection of features

    Susanta Kumar Gauri;Shankar Chakraborty

  • A study on the ranking performance of some MCDM methods for industrial robot selection problems

    P. Karande;E. Zavadskas;S. Chakraborty

  • Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm

    Unknown

  • A comparative analysis of VIKOR method and its variants

    Prasenjit Chatterjee;Shankar Chakraborty

  • Feature-based recognition of control chart patterns

    Susanta Kumar Gauri;Shankar Chakraborty

  • QFD-based expert system for non-traditional machining processes selection

    Shankar Chakraborty;Sammilan Dey

  • A Fuzzy-MOORA approach for ERP system selection

    Prasad Karande;Shankar Chakraborty

  • Impact of Halo Doping on the Subthreshold Performance of Deep-Submicrometer CMOS Devices and Circuits for Ultralow Power Analog/Mixed-Signal Applications

    S. Chakraborty;A. Mallik;C.K. Sarkar;V.R. Rao

  • An integrated D-MARCOS method for supplier selection in an iron and steel industry

    Ritwika Chattopadhyay;Santonab Chakraborty;Shankar Chakraborty

Frequent Co-Authors

Prasenjit Chatterjee
Prasenjit Chatterjee Maulana Abul Kalam Azad University of Technology
Dragan Pamučar
Dragan Pamučar University of Belgrade
Edmundas Kazimieras Zavadskas
Edmundas Kazimieras Zavadskas Vilnius Gediminas Technical University

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