Johann L. Hurink focuses on Mathematical optimization, Job shop scheduling, Tabu search, Smart grid and Efficient energy use. His research investigates the connection with Mathematical optimization and areas like Benchmark which intersect with concerns in Disjunctive graph. Johann L. Hurink combines subjects such as Robot, Schedule and Earliest deadline first scheduling with his study of Job shop scheduling.
His research in Schedule focuses on subjects like Emergency surgery, which are connected to Operations management. His Smart grid study integrates concerns from other disciplines, such as Load management, Distributed generation, Virtual power plant and Simulation. His biological study deals with issues like Microgrid, which deal with fields such as Microgeneration and Energy consumption.
Johann L. Hurink mostly deals with Mathematical optimization, Smart grid, Electricity, Scheduling and Job shop scheduling. His biological study spans a wide range of topics, including Time complexity and Schedule. His work in Schedule addresses subjects such as Operations research, which are connected to disciplines such as Operations management.
His Smart grid research includes themes of Distributed generation, Peaking power plant, Distributed computing, Energy management and Simulation. His Electricity study which covers Efficient energy use that intersects with Energy conservation. Johann L. Hurink is studying Flow shop scheduling, which is a component of Job shop scheduling.
His primary scientific interests are in Smart grid, Mathematical optimization, Flexibility, Energy management and Electricity. His studies in Smart grid integrate themes in fields like Distributed computing, Control theory, Energy, Demand response and Peaking power plant. His research in Mathematical optimization intersects with topics in Time complexity and Resource allocation.
His Flexibility research is multidisciplinary, relying on both Distributed generation, Reliability engineering, Simulation, Exploit and Load profile. His Distributed generation research incorporates themes from Electric vehicle, Schedule, Scheduling and Bidding. His work investigates the relationship between Electricity and topics such as Environmental economics that intersect with problems in Electricity generation, Microgrid, Management science, Computer security and Quality of service.
Johann L. Hurink spends much of his time researching Smart grid, Flexibility, Mathematical optimization, Distributed generation and Load profile. His work carried out in the field of Smart grid brings together such families of science as Distributed computing, Electricity market, Peaking power plant and Demand response. As a part of the same scientific family, Johann L. Hurink mostly works in the field of Peaking power plant, focusing on Simulation and, on occasion, Power quality.
His studies deal with areas such as Supply and demand, Control and Reliability engineering as well as Flexibility. Johann L. Hurink has researched Mathematical optimization in several fields, including Time complexity and Scheduling. The study incorporates disciplines such as Energy management, Schedule, Bidding, Performance improvement and Dynamic pricing in addition to Distributed generation.
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Management and Control of Domestic Smart Grid Technology
A Molderink;V Bakker;M G C Bosman;J L Hurink.
TABU SEARCH FOR THE JOB SHOP SCHEDULING PROBLEM WITH MULTI-PURPOSE MACHINES
Johann L. Hurink;Bernd Jurisch;Monika Thole.
A master surgical scheduling approach for cyclic scheduling in operating room departments
Jeroen M. van Oostrum;M. van Houdenhoven;Johann L. Hurink;Elias W. Hans.
A branch & bound algorithm for the open-shop problem
Peter Brucker;Johann Hurink;Bernd Jurisch;Birgit Wöstmann.
Discrete Applied Mathematics (1997)
Domestic energy management methodology for optimizing efficiency in Smart Grids
Albert Molderink;Vincent Bakker;Maurice G.C. Bosman;Johann L. Hurink.
An exact approach for relating recovering surgical patient workload to the master surgical schedule
Peter T. Vanberkel;Peter T. Vanberkel;Richard J. Boucherie;Erwin W. Hans;Johann L. Hurink.
A Survey of Health Care Models that Encompass Multiple Departments
P.T. Vanberkel;Richardus J. Boucherie;Elias W. Hans;Johann L. Hurink.
International journal of health management and information (IJHMI) (2009)
Efficiency evaluation for pooling resources in health care
Peter T. Vanberkel;Richard J. Boucherie;Erwin W. Hans;Johann L. Hurink.
Tabu search algorithms for job-shop problems with a single transport robot
Johann L. Hurink;Sigrid Knust.
A PTAS for the minimum dominating set problem in unit disk graphs
Tim Nieberg;Johann Hurink.
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