2023 - Research.com Mathematics in India Leader Award
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.
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.
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.
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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A fuzzy EOQ model with demand-dependent unit cost under limited storage capacity
T.K. Roy;M. Maiti.
A two warehouse inventory model for deteriorating items with a linear trend in demand and shortages
Asoke Kumar Bhunia;Manoranjan Maiti.
An inventory system of ameliorating items for price dependent demand rate
Biswajit Mondal;Asoke Kumar Bhunia;Manoranjan Maiti.
Two storage inventory problem with dynamic demand and interval valued lead-time over finite time horizon under inflation and time-value of money
Jayanta Kumar Dey;Shyamal Kumar Mondal;Manoranjan Maiti.
Multi-item fuzzy EOQ models using genetic algorithm
S. Mondal;M. Maiti.
Deterministic inventory model with two levels of storage, a linear trend in demand and a fixed time horizon
Samarjit Kar;Asoke Kumar Bhunia;Manoranjan Maiti.
Fuzzy inventory model with two warehouses under possibility constraints
Manas Kumar Maiti;Manoranjan Maiti.
Inventory model with stochastic lead-time and price dependent demand incorporating advance payment
A.K. Maiti;M.K. Maiti;M. Maiti.
A two warehouse inventory model for a deteriorating item with partially/fully backlogged shortage and fuzzy lead time
Mahendra Rong;Nirmal Kumar Mahapatra;Manoranjan Maiti.
Multi-objective inventory models of deteriorating items with some constraints in a fuzzy environment
T. K. Roy;M. Maiti.
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