What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Marketing
His primary scientific interests are in Supply chain, Supply chain management, Operations research, Analytic hierarchy process and Process. His research in Supply chain intersects with topics in Performance measurement, Industrial organization, Knowledge management and Flexibility. Felix T.S. Chan combines subjects such as Risk analysis, Performance improvement and Process management with his study of Supply chain management.
The various areas that he examines in his Operations research study include Warehouse, Order picking, Production manager, Production planning and Scheduling. His Analytic hierarchy process research integrates issues from Supplier relationship management, Operations management, Selection, Decision support system and Meta-optimization. His Process study combines topics in areas such as Lead time, Order and Management science.
His most cited work include:
- Global supplier development considering risk factors using fuzzy extended AHP-based approach (937 citations)
- Global supplier selection: a fuzzy-AHP approach (469 citations)
- PERFORMANCE MEASUREMENT IN A SUPPLY CHAIN (407 citations)
What are the main themes of his work throughout his whole career to date?
Felix T.S. Chan mostly deals with Mathematical optimization, Supply chain, Operations research, Supply chain management and Genetic algorithm. His Mathematical optimization study incorporates themes from Job shop scheduling, Flow shop scheduling and Artificial intelligence. His Supply chain research is multidisciplinary, incorporating elements of Risk analysis, Flexibility, Operations management and Process management.
His Operations research research is multidisciplinary, relying on both Lead time, Routing, Decision support system, Fuzzy logic and Process. His Fuzzy logic study combines topics from a wide range of disciplines, such as Multiple-criteria decision analysis and Industrial engineering. His Supply chain management study is concerned with the larger field of Marketing.
He most often published in these fields:
- Mathematical optimization (23.80%)
- Supply chain (22.14%)
- Operations research (21.96%)
What were the highlights of his more recent work (between 2015-2021)?
- Mathematical optimization (23.80%)
- Operations research (21.96%)
- Supply chain (22.14%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mathematical optimization, Operations research, Supply chain, Fuzzy logic and Routing. His study in the field of Optimization problem, Orienteering and Robust optimization also crosses realms of Schedule. Felix T.S. Chan has included themes like Stackelberg competition, Hangar and Job shop scheduling in his Operations research study.
Felix T.S. Chan works on Supply chain which deals in particular with Supply chain management. Felix T.S. Chan regularly links together related areas like Process in his Fuzzy logic studies. Felix T.S. Chan interconnects Algorithm and Ant colony optimization algorithms in the investigation of issues within Routing.
Between 2015 and 2021, his most popular works were:
- The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda (181 citations)
- Decision making for the selection of cloud vendor (155 citations)
- Urban sewage sludge, sustainability, and transition for Eco-City: Multi-criteria sustainability assessment of technologies based on best-worst method (102 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Marketing
The scientist’s investigation covers issues in Operations research, Mathematical optimization, Supply chain, Quality and Aircraft maintenance. His Operations research study integrates concerns from other disciplines, such as Lead time, Fuzzy logic, Stackelberg competition, Hangar and Order. His work on Artificial bee colony algorithm is typically connected to Schedule as part of general Mathematical optimization study, connecting several disciplines of science.
His research in Supply chain management and Reverse supply chain are components of Supply chain. His Supply chain management research includes themes of Delphi method and Process management. His Quality research includes elements of Production, Algorithm and Machining.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
