What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Statistics
- Artificial intelligence
Manoranjan Maiti spends much of his time researching Mathematical optimization, Fuzzy logic, Fuzzy number, Inventory control and Economic shortage.
His biological study spans a wide range of topics, including Binary entropy function and Solid transportation problem.
Manoranjan Maiti has included themes like Genetic algorithm, Particle swarm optimization and Random variable in his Fuzzy logic study.
His research in Fuzzy number is mostly concerned with Fuzzy transportation.
The Fuzzy transportation study combines topics in areas such as Fuzzy programming and Constraint.
His Inventory control study combines topics from a wide range of disciplines, such as Posynomial, Production manager and Signomial.
His most cited work include:
- Fuzzy inventory model with two warehouses under possibility constraints (97 citations)
- Inventory model with stochastic lead-time and price dependent demand incorporating advance payment (87 citations)
- An entropy based solid transportation problem for general fuzzy costs and time with fuzzy equality (58 citations)
What are the main themes of his work throughout his whole career to date?
Manoranjan Maiti focuses on Mathematical optimization, Fuzzy logic, Operations research, Profit and Fuzzy number.
His Mathematical optimization research is multidisciplinary, relying on both Budget constraint and Profit maximization.
His Fuzzy logic research includes themes of Particle swarm optimization and Inventory control.
His study in Inventory control is interdisciplinary in nature, drawing from both Benefice, Production manager, Mathematical economics and Lead time.
His work in Operations research covers topics such as Economic order quantity which are related to areas like Payment.
He focuses mostly in the field of Profit, narrowing it down to matters related to Trade credit and, in some cases, Microeconomics.
He most often published in these fields:
- Mathematical optimization (71.87%)
- Fuzzy logic (56.70%)
- Operations research (19.20%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (71.87%)
- Fuzzy logic (56.70%)
- Profit (18.75%)
In recent papers he was focusing on the following fields of study:
Manoranjan Maiti mostly deals with Mathematical optimization, Fuzzy logic, Profit, Supply chain and Transportation theory.
In the subject of general Mathematical optimization, his work in Optimal control is often linked to Software, thereby combining diverse domains of study.
His Fuzzy logic research is multidisciplinary, incorporating elements of Total cost and Reduction.
His work carried out in the field of Total cost brings together such families of science as Fuzzy number, Production and Time value of money.
His research in the fields of Profit maximization overlaps with other disciplines such as Sensitivity analyses.
As part of the same scientific family, Manoranjan Maiti usually focuses on Supply chain, concentrating on Warehouse and intersecting with Particle swarm optimization.
Between 2018 and 2021, his most popular works were:
- A method to solve linear programming problem with interval type-2 fuzzy parameters (17 citations)
- Multi-objective four dimensional imprecise TSP solved with a hybrid multi-objective ant colony optimization-genetic algorithm with diversity (7 citations)
- Constrained covering solid travelling salesman problems in uncertain environment (6 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Statistics
- Artificial intelligence
His main research concerns Mathematical optimization, Fuzzy logic, Trade credit, Genetic algorithm and Microeconomics.
His work on Travelling salesman problem as part of general Mathematical optimization study is frequently linked to Benchmark, bridging the gap between disciplines.
His studies deal with areas such as Total cost, Computational intelligence and Constraint as well as Fuzzy logic.
His studies in Computational intelligence integrate themes in fields like Heuristics and Profit maximization.
His Genetic algorithm study which covers Traveling purchaser problem that intersects with Substitute good.
His study focuses on the intersection of Microeconomics and fields such as Multi item with connections in the field of Profit.
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