What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Operating system
Manoj Kumar Tiwari mostly deals with Mathematical optimization, Supply chain, Process, Fuzzy logic and Operations research.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Flexible manufacturing system, Throughput and Robustness.
His work in Supply chain tackles topics such as Operations management which are related to areas like Process management and Total cost.
His Process research includes elements of Computer-integrated manufacturing, Manufacturing execution system, Knowledge management, Decision support system and Decision problem.
His Fuzzy logic research is multidisciplinary, incorporating perspectives in Selection and Goal programming.
Manoj Kumar Tiwari combines subjects such as Manufacturing and Project management with his study of Operations research.
His most cited work include:
- Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach (555 citations)
- Global supplier selection: a fuzzy-AHP approach (469 citations)
- Modeling agility of supply chain (418 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Mathematical optimization, Supply chain, Operations research, Artificial intelligence and Particle swarm optimization.
His work carried out in the field of Mathematical optimization brings together such families of science as Algorithm and Job shop scheduling.
His Algorithm research incorporates elements of Evolutionary algorithm and Artificial immune system.
His Supply chain study integrates concerns from other disciplines, such as Operations management and Process management.
His study explores the link between Operations research and topics such as Process that cross with problems in Fuzzy logic.
His study brings together the fields of Metaheuristic and Particle swarm optimization.
He most often published in these fields:
- Mathematical optimization (29.29%)
- Supply chain (23.57%)
- Operations research (15.24%)
What were the highlights of his more recent work (between 2018-2021)?
- Supply chain (23.57%)
- Particle swarm optimization (12.14%)
- Mathematical optimization (29.29%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Supply chain, Particle swarm optimization, Mathematical optimization, Production and Manufacturing engineering.
His Supply chain study combines topics from a wide range of disciplines, such as Environmental economics, Service, Risk analysis and Process management.
The various areas that Manoj Kumar Tiwari examines in his Environmental economics study include Facility location problem, Centrality, Silo and Resilience.
While the research belongs to areas of Particle swarm optimization, Manoj Kumar Tiwari spends his time largely on the problem of Routing, intersecting his research to questions surrounding Service level.
His work on Genetic algorithm and Time horizon as part of general Mathematical optimization research is frequently linked to Set, bridging the gap between disciplines.
His Manufacturing engineering research is multidisciplinary, incorporating elements of Sustainable packaging, Industry 4.0, Procurement and Scenario analysis.
Between 2018 and 2021, his most popular works were:
- Impact of COVID-19 on logistics systems and disruptions in food supply chain (50 citations)
- An efficient recommendation generation using relevant Jaccard similarity (45 citations)
- Multiobjective Approach for Sustainable Ship Routing and Scheduling With Draft Restrictions (35 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Statistics
Manoj Kumar Tiwari mostly deals with Supply chain, Mathematical optimization, Particle swarm optimization, Environmental economics and Decision support system.
His Supply chain research includes themes of Stakeholder theory, Corporate social responsibility, Sustainable procurement and Industrial organization.
The concepts of his Mathematical optimization study are interwoven with issues in Routing and Service level.
His research in Environmental economics intersects with topics in Facility location problem, Centrality, Supply chain network and Resilience.
His work focuses on many connections between Decision support system and other disciplines, such as Recommender system, that overlap with his field of interest in Similarity measure, Artificial intelligence, Information explosion and Search cost.
In general Operations research, his work in Analytic hierarchy process is often linked to Net present value linking many areas of study.
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