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Robust scheduling in an uncertain environment
M Wilson
Algorithmics
Research output
:
Thesis
›
Dissertation (TU Delft)
Overview
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Computer Science
Interval Schedule
100%
Railway Industry
66%
Scheduling Problem
66%
Research Question
66%
Project Scheduling
66%
Valid Interval
33%
Precedence Constraint
33%
Heuristic Method
33%
Execution Time
33%
Resource Contention
33%
Algorithms
33%
Programs
33%
INIS
schedules
100%
environment
100%
flexibility
73%
stocks
26%
rolling
26%
maintenance
21%
resources
17%
size
17%
railways
13%
distribution
8%
disturbances
8%
industry
8%
solutions
8%
control
4%
increasing
4%
dynamics
4%
operation
4%
demand
4%
efficiency
4%
simulation
4%
life cycle
4%
trains
4%
investigations
4%
assignments
4%
procurement
4%
algorithms
4%
planning
4%
length
4%
constraints
4%
Economics, Econometrics and Finance
Stock
100%
Specific Industry
33%
Scheduling Problem
33%
Research and Development
16%
Procurement
16%
Life Cycle
16%
Designation of Origin
16%
Efficiency
16%
Train
16%
Development Planning
16%
Skewed Distribution
16%
Neuroscience
Ordering
100%
Psychology
Resources
44%
Mathematics
Representation of Solutions
7%
Intuitive Notion
7%