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011-Automotive CAE Simulation Program Management
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《Automotive CAE Project Scheduling and Capacity Planning》
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Automotive CAE Project Scheduling and Capacity Planning
30 Chapters
View Course Samples Online
01
Automotive CAE project landscape
vehicle program milestones, CAE deliverables, and the role of scheduling and capacity planning in product development.
Automotive
CAE
02
CAE workload characterization
crash, NVH, CFD, durability, and optimization tasks; simulation types, solver runtimes, and resource profiles.
CAE
workload
03
Project scheduling fundamentals for CAE
work breakdown structure, activity sequencing, dependencies, and milestone mapping to vehicle program gates.
scheduling
CAE
04
Capacity planning fundamentals
resource pools, skill matrices, software licenses, hardware constraints, and demand-supply balancing.
Capacity
planning
05
CAE demand forecasting
deriving simulation requests from design release cycles, change management, and program assumptions.
CAE
forecasting
06
Resource modeling for CAE teams
headcount, engineer proficiency levels, overtime policies, and external supplier capacity.
Resource
modeling
07
Critical path method applied to CAE schedules
identifying longest simulation chains, float, and schedule risk in vehicle programs.
Critical
CAE
08
Resource-constrained scheduling
leveling CAE engineers and compute resources across multiple concurrent vehicle programs.
Resource-constrained
scheduling
09
CAE project scheduling tools
Primavera P6, Microsoft Project, Jira, and specialized CAE workflow management platforms.
CAE
scheduling
10
Capacity planning spreadsheets and databases
building and maintaining CAE resource libraries, utilization trackers, and dashboards.
Capacity
planning
11
Simulation data management for scheduling
PLM integration, CAE model versioning, and job status tracking for accurate progress reporting.
Simulation
management
12
High-performance computing (HPC) capacity planning
cluster utilization, queue wait times, license tokens, and cloud bursting strategies.
High-performance
computing
13
CAE project estimation techniques
analogy, parametric, and bottom-up methods for simulation hours and compute core-hours.
CAE
estimation
14
Scheduling crash simulation campaigns
solver-specific runtimes, model build times, and correlation loops for safety CAE.
Scheduling
simulation
15
Scheduling NVH and durability CAE
modal, frequency response, and fatigue analyses; resource sharing and sequential dependencies.
Scheduling
NVH
16
Scheduling CFD and thermal CAE
mesh generation, solver convergence, and wind tunnel correlation timelines.
Scheduling
CFD
17
Multi-project CAE scheduling
prioritizing programs, resolving resource conflicts, and managing shared CAE specialists.
Multi-project
CAE
18
Agile and hybrid scheduling in automotive CAE
sprints, Kanban for simulation requests, and rolling wave planning.
scheduling
automotive
19
Risk management in CAE schedules
uncertainty in solver runtimes, model changes, and mitigation through buffers and contingencies.
management
CAE
20
Capacity planning for CAE software licenses
token management, vendor agreements, and peak demand forecasting.
Capacity
planning
21
CAE outsourcing and supplier capacity
statement of work, deliverable schedules, and integration with internal planning.
CAE
outsourcing
22
Performance metrics for CAE scheduling and capacity
on-time delivery, utilization, queue time, and schedule adherence.
Performance
CAE
23
Scenario analysis and what-if planning
evaluating program changes, resource additions, and technology shifts on CAE capacity.
Scenario
analysis
24
CAE scheduling for electric vehicle programs
battery, thermal, and lightweighting simulations with new resource demands.
CAE
scheduling
25
Autonomous vehicle CAE scheduling
sensor, perception, and system-level simulation workloads and their capacity implications.
Autonomous
CAE
26
Digital twin and real-time simulation impact on CAE capacity planning
continuous validation and resource allocation.
real-time
simulation
27
Machine learning for CAE runtime prediction and capacity optimization
data-driven scheduling and anomaly detection.
CAE
prediction
28
Cloud-based CAE capacity planning
elasticity, cost models, security, and hybrid on-premise/cloud workflows.
Cloud-based
CAE
29
Case study
scheduling a full vehicle crash CAE campaign from concept to sign-off under capacity constraints.
scheduling
CAE
30
Capstone project
develop an integrated CAE project schedule and capacity plan for a multi-program automotive scenario.
Capstone
integrated
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