What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Mechanical engineering
His main research concerns Selection, Process, Material selection, Multiple-criteria decision analysis and Ranking.
His research integrates issues of Surface roughness, Metal, Product design, Heat-affected zone and Artificial bee colony algorithm in his study of Selection.
His Process study combines topics from a wide range of disciplines, such as Analytic hierarchy process, Manufacturing engineering, Reliability engineering and Machining.
The various areas that Shankar Chakraborty examines in his Material selection study include Mathematical optimization, Decision matrix and Industrial engineering.
His Multiple-criteria decision analysis research is within the category of Operations research.
As a part of the same scientific study, Shankar Chakraborty usually deals with the Ranking, concentrating on Systems engineering and frequently concerns with Domain, Sensitivity and Pairwise comparison.
His most cited work include:
- Applications of the MOORA method for decision making in manufacturing environment (247 citations)
- Materials selection using complex proportional assessment and evaluation of mixed data methods (210 citations)
- Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection (186 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Selection, Machining, Process, Multiple-criteria decision analysis and Ranking.
Shankar Chakraborty has included themes like Quality, Industrial engineering, Material selection, Task and Operations research in his Selection study.
His Machining study combines topics in areas such as Mathematical optimization, Parametric statistics and Process variable.
His studies in Process integrate themes in fields like Experimental data, Engineering drawing, Reliability engineering, Manufacturing engineering and Expert system.
The study incorporates disciplines such as Industrial robot, Management science, Risk analysis, Fuzzy logic and Facility location problem in addition to Multiple-criteria decision analysis.
His Ranking research is multidisciplinary, incorporating elements of ELECTRE and Preference.
He most often published in these fields:
- Selection (34.92%)
- Machining (28.57%)
- Process (28.04%)
What were the highlights of his more recent work (between 2018-2021)?
- Machining (28.57%)
- Parametric statistics (11.11%)
- Mechanical engineering (10.05%)
In recent papers he was focusing on the following fields of study:
Shankar Chakraborty mainly focuses on Machining, Parametric statistics, Mechanical engineering, Electrical discharge machining and Process.
His work carried out in the field of Machining brings together such families of science as Mathematical optimization and Grey relational analysis.
As part of the same scientific family, he usually focuses on Parametric statistics, concentrating on Process variable and intersecting with TOPSIS, Shape-memory alloy, Nickel titanium, Reliability engineering and Sensitivity.
He interconnects Industrial engineering, Selection, Ranking, Manufacturing and Operations research in the investigation of issues within Process.
His work is dedicated to discovering how Selection, Quality are connected with Industrial and production engineering and other disciplines.
His work on Multiple-criteria decision analysis expands to the thematically related Ranking.
Between 2018 and 2021, his most popular works were:
- OPTIMIZATION OF MULTI-PASS FACE MILLING PARAMETERS USING METAHEURISTIC ALGORITHMS (14 citations)
- An integrated D-MARCOS method for supplier selection in an iron and steel industry (11 citations)
- Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities (11 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mechanical engineering
- Artificial intelligence
Shankar Chakraborty mainly investigates Machining, Parametric statistics, Operations research, Process and Multiple-criteria decision analysis.
Shankar Chakraborty has researched Machining in several fields, including Surface finish and Entropy.
His research in Parametric statistics intersects with topics in Mathematical optimization and Process variable.
The concepts of his Process study are interwoven with issues in Ranking, Business operations and Data envelopment analysis.
His Multiple-criteria decision analysis study incorporates themes from Selection and Fuzzy logic.
Shankar Chakraborty combines subjects such as Test and Decision-making with his study of Selection.
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