His primary scientific interests are in Scheduling, Mathematical optimization, Marketing, Job shop scheduling and Supply chain management. His Scheduling study integrates concerns from other disciplines, such as Time complexity, Algorithm and Dynamic programming. His research in Mathematical optimization intersects with topics in Single-machine scheduling, Tardiness, Learning effect, Completion time and Job scheduler.
His work deals with themes such as Structural equation modeling, Information technology, Industrial organization and Resource, which intersect with Marketing. His study in Job shop scheduling is interdisciplinary in nature, drawing from both Computational complexity theory, Simulated annealing and Scheduling. The study incorporates disciplines such as Risk analysis and Knowledge management in addition to Supply chain management.
His main research concerns Mathematical optimization, Scheduling, Job shop scheduling, Operations research and Marketing. His research investigates the connection with Mathematical optimization and areas like Time complexity which intersect with concerns in Batch processing. His biological study spans a wide range of topics, including Computational complexity theory and Algorithm.
T.C.E. Cheng has included themes like Scheduling, Distributed computing, Dynamic priority scheduling and Fair-share scheduling in his Job shop scheduling study. Marketing is frequently linked to Industrial organization in his study. T.C.E. Cheng focuses mostly in the field of Industrial organization, narrowing it down to topics relating to Supply chain management and, in certain cases, Microeconomics.
T.C.E. Cheng mainly investigates Scheduling, Mathematical optimization, Supply chain, Industrial organization and Job shop scheduling. His Scheduling study combines topics from a wide range of disciplines, such as Pareto principle, Computational intelligence and Parallel computing. His Mathematical optimization study frequently draws connections to adjacent fields such as Single-machine scheduling.
His Supply chain research includes elements of Econometrics, Order, Revenue, Stackelberg competition and Product. His work in Industrial organization addresses subjects such as Supply chain management, which are connected to disciplines such as Game theory and Microeconomics. He studied Job shop scheduling and Operations research that intersect with Fixed cost and Set.
His primary areas of study are Mathematical optimization, Scheduling, Job shop scheduling, Supply chain and Industrial organization. His study in Dynamic programming, Scheduling and Approximation algorithm is done as part of Mathematical optimization. Particularly relevant to Tardiness is his body of work in Scheduling.
His Job shop scheduling study incorporates themes from Operations research, Schedule and Preemption. T.C.E. Cheng combines subjects such as Stackelberg competition, Incomplete contracts, Bargaining problem and Profit with his study of Supply chain. His Industrial organization research incorporates themes from Competition, Contingency theory, Competitive advantage and Entrepreneurial orientation.
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.
A survey of scheduling problems with setup times or costs
Ali Allahverdi;C.T. Ng;T.C.E. Cheng;Mikhail Y. Kovalyov.
European Journal of Operational Research (2008)
A concise survey of scheduling with time-dependent processing times
T. C. E. Cheng;Qing Ding;B. M. T. Lin.
European Journal of Operational Research (2004)
A state-of-the-art review of parallel-machine scheduling research
T.C.E. Cheng;C.C.S. Sin.
European Journal of Operational Research (1990)
Managing carbon footprints in inventory management
Guowei Hua;T.C.E. Cheng;T.C.E. Cheng;Shouyang Wang.
International Journal of Production Economics (2011)
Survey of scheduling research involving due date determination decisions
T.C.E. Cheng;M.C. Gupta.
European Journal of Operational Research (1989)
Measures for evaluating supply chain performance in transport logistics
Kee-hung Lai;E.W.T Ngai;T.C.E Cheng.
Transportation Research Part E-logistics and Transportation Review (2002)
Extending the understanding of end user information systems satisfaction formation: an equitable needs fulfillment model approach
N. Au;E. W. T. Ngai;T. C. E. Cheng.
Management Information Systems Quarterly (2008)
Price and lead time decisions in dual-channel supply chains
Guowei Hua;Guowei Hua;Shouyang Wang;T.C.E. Cheng.
European Journal of Operational Research (2010)
Just-in-time manufacturing : an introduction
T. C. E. Cheng;S. Podolsky.
(1996)
An Economic Order Quantity Model with Demand-Dependent Unit Production Cost and Imperfect Production Processes
T. C. E. Cheng.
Iie Transactions (1991)
Profile was last updated on December 6th, 2021.
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