What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Project management
- Operating system
His primary scientific interests are in Operations research, Scheduling, Project management, Mathematical optimization and Integer programming.
His study explores the link between Operations research and topics such as Deadline-monotonic scheduling that cross with problems in Fixed-priority pre-emptive scheduling.
His research investigates the link between Scheduling and topics such as Scheduling that cross with problems in Nurse scheduling problem.
His Project management study combines topics in areas such as Schedule, Management science and Job shop scheduling.
His work carried out in the field of Integer programming brings together such families of science as Bed Occupancy and Metaheuristic.
Erik Demeulemeester has researched Schedule in several fields, including Project planning and Operations management.
His most cited work include:
- Operating room planning and scheduling: A literature review (784 citations)
- Project scheduling : a research handbook (568 citations)
- A branch-and-bound procedure for the multiple resource-constrained project scheduling problem (477 citations)
What are the main themes of his work throughout his whole career to date?
Erik Demeulemeester mostly deals with Operations research, Mathematical optimization, Scheduling, Scheduling and Schedule.
His Operations research research focuses on subjects like Project management, which are linked to Risk analysis.
His Mathematical optimization study frequently involves adjacent topics like Schedule.
His research investigates the connection between Scheduling and topics such as Discrete time and continuous time that intersect with problems in Project networks.
In his research, Distributed computing, Two-level scheduling and Flow shop scheduling is intimately related to Rate-monotonic scheduling, which falls under the overarching field of Scheduling.
His studies deal with areas such as Net present value, Duration and Baseline as well as Schedule.
He most often published in these fields:
- Operations research (36.92%)
- Mathematical optimization (27.69%)
- Scheduling (27.69%)
What were the highlights of his more recent work (between 2015-2021)?
- Mathematical optimization (27.69%)
- Scheduling (27.69%)
- Operations research (36.92%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mathematical optimization, Scheduling, Operations research, Scheduling and Schedule.
Erik Demeulemeester regularly links together related areas like Project scheduling problem in his Mathematical optimization studies.
Erik Demeulemeester interconnects Algorithm, Exact algorithm, Cloud computing and Operations management in the investigation of issues within Scheduling.
His Operations research study incorporates themes from Bi objective and Project management.
As part of the same scientific family, Erik Demeulemeester usually focuses on Scheduling, concentrating on Health care management and intersecting with Risk analysis and Management science.
His work is dedicated to discovering how Schedule, Duration are connected with Resource and Control system and other disciplines.
Between 2015 and 2021, his most popular works were:
- Scheduling operating rooms: achievements, challenges and pitfalls (86 citations)
- Incorporation of activity sensitivity measures into buffer management to manage project schedule risk (45 citations)
- Literature review on multi-appointment scheduling problems in hospitals (34 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Mathematical optimization
- Algorithm
Erik Demeulemeester mainly focuses on Resource, Scheduling, Schedule, Duration and Mathematical optimization.
His Resource research includes themes of Patient satisfaction, Appointment scheduling, Field and Operations management.
His Scheduling study often links to related topics such as Expediting.
Schedule is closely attributed to Heuristics in his research.
His research investigates the connection between Mathematical optimization and topics such as Baseline that intersect with issues in Genetic algorithm.
His Business economics research includes elements of Schedule, Scheduling and Operations research.
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