Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Fleet_Problem_series
|
| gptkbp:adapted_into |
different industries
|
| gptkbp:aims_to |
total transportation costs
|
| gptkbp:analyzes |
routing diagrams
|
| gptkbp:applies_to |
emergency response planning
environmental sustainability logistics and supply chain management |
| gptkbp:can_be_extended_by |
multi-objective optimization problems
|
| gptkbp:challenges |
supply chain managers
large scale logistics |
| gptkbp:enhances |
service delivery
|
| gptkbp:example |
combinatorial optimization
|
| gptkbp:focuses_on |
transportation research
operations management courses optimization techniques. |
| gptkbp:has_programs |
public transportation planning
|
| https://www.w3.org/2000/01/rdf-schema#label |
Fleet Problem 21
|
| gptkbp:introduced |
gptkb:George_Dantzig
|
| gptkbp:involves |
optimizing fleet routes
|
| gptkbp:is_a_solution_for |
simplex algorithm
branch and bound methods |
| gptkbp:is_affected_by |
seasonal demand fluctuations
|
| gptkbp:is_analyzed_in |
risk management
case studies simulation techniques |
| gptkbp:is_critical_for |
gptkb:High_School
|
| gptkbp:is_described_as |
a specific scenario in fleet management
|
| gptkbp:is_discussed_in |
conferences
|
| gptkbp:is_enhanced_by |
data analytics
technology advancements |
| gptkbp:is_essential_for |
cost efficiency
business competitiveness |
| gptkbp:is_evaluated_by |
performance metrics
cost savings |
| gptkbp:is_influenced_by |
market trends
regulatory policies traffic conditions |
| gptkbp:is_integrated_with |
inventory management systems
|
| gptkbp:is_often_used_in |
heuristic methods
|
| gptkbp:is_optimized_for |
fuel efficiency
|
| gptkbp:is_part_of |
transportation logistics
supply chain strategy |
| gptkbp:is_related_to |
supply chain optimization
vehicle routing problem |
| gptkbp:is_represented_in |
graph theory
|
| gptkbp:is_studied_in |
gptkb:academic_research
|
| gptkbp:is_used_in |
operations research
|
| gptkbp:key |
transportation science
|
| gptkbp:key_issues |
cost-benefit analysis
|
| gptkbp:performance |
other optimization problems
|
| gptkbp:provides_information_on |
demand and supply locations
|
| gptkbp:related_model |
a network flow problem
mathematical programming techniques |
| gptkbp:requires |
vehicle capacities
|
| gptkbp:simtype |
gptkb:software
|
| gptkbp:subject |
academic papers
research grants logistics professionals |
| gptkbp:type_of |
linear programming problem
|
| gptkbp:was_a_factor_in |
gptkb:metropolitan_area
customer satisfaction |