Statements (67)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Fleet_Problem_series
|
| gptkbp:adapted_into |
different industries
|
| gptkbp:analyzes |
geographic information systems
|
| gptkbp:applies_to |
emergency response planning
logistics and transportation urban transportation systems |
| gptkbp:area |
research funding
|
| gptkbp:can_lead_to |
better fleet utilization
|
| gptkbp:challenges |
gptkb:Company
|
| gptkbp:decided_by |
vehicle assignments
|
| gptkbp:enhances |
customer satisfaction
service levels |
| gptkbp:focuses_on |
transportation engineering
transportation policy discussions |
| https://www.w3.org/2000/01/rdf-schema#label |
Fleet Problem 23
|
| gptkbp:introduced |
gptkb:George_Dantzig
|
| gptkbp:involves |
scheduling of vehicles
|
| gptkbp:is_a_solution_for |
linear programming
heuristic methods |
| gptkbp:is_affected_by |
seasonal demand fluctuations
regulatory constraints |
| gptkbp:is_analyzed_in |
gptkb:academic_journal
data analytics environmental impact simulation techniques operational performance |
| gptkbp:is_critical_for |
business competitiveness
|
| gptkbp:is_described_as |
a specific scenario in fleet management
|
| gptkbp:is_discussed_in |
logistics conferences
business strategy meetings |
| gptkbp:is_enhanced_by |
machine learning techniques
technology advancements |
| gptkbp:is_essential_for |
sustainable transportation
reducing operational costs cost-effective logistics solutions |
| gptkbp:is_evaluated_by |
performance metrics
cost-benefit analysis sensitivity analysis key performance indicators. |
| gptkbp:is_implemented_in |
real-world applications
|
| gptkbp:is_influenced_by |
fuel prices
traffic conditions technological innovations |
| gptkbp:is_integrated_with |
real-time tracking systems
|
| gptkbp:is_optimized_for |
reduced emissions
time and resources costs and efficiency |
| gptkbp:is_part_of |
decision support systems
transportation network design |
| gptkbp:is_related_to |
inventory management
vehicle routing problem |
| gptkbp:is_studied_in |
gptkb:academic_research
|
| gptkbp:is_supported_by |
gptkb:software
|
| gptkbp:is_used_in |
operations research
|
| gptkbp:is_utilized_in |
public transportation planning
|
| gptkbp:key |
fleet optimization strategies
|
| gptkbp:notable_models |
a network flow problem
|
| gptkbp:performance |
industry standards
|
| gptkbp:provides_information_on |
demand and supply
|
| gptkbp:related_model |
mathematical programming techniques
|
| gptkbp:simtype |
computer models
|
| gptkbp:subject |
case studies
government regulations supply chain optimization |
| gptkbp:variant |
the traveling salesman problem
|