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Home» Products » Aurora-CCPM » Screenshots (Aurora-CCPM)

Screenshots (Aurora-CCPM)

Gantt Chart with User Defined Formatting

Gantt Chart with User Defined Formatting

2

Main Display with color coded network diagram based on criteria

Gantt Chart showing color coding based on properties, single-element view & note Feeder Buffers

Gantt Chart showing color coding based on criteria, single-element view & note Feeder Buffers

1

Split View: Gantt Chart and Histogram

Main Display running on Mac

Main Display running on Mac

3

Spatial Plot

4

Split View: Network Diagram and Tabular Editor

5

Multi-Project Histogram

6

Single Element Display

8

Fever Chart

11

Personnel with activities delayed by resource contention in blue

9

Tabular Editor showing schedule results

10

Interactive GUI

7

Project Progress Chart

Aurora-CCPM

  • Aurora-CCPM
  • Critical Chain Project Management
  • Why Was Aurora-CCPM Developed?
  • Advantages of Aurora-CCPM
  • Customer Applications
  • Customers and Applications
  • Screenshots (Aurora-CCPM)
  • NASA Hallmarks of Success
  • CCPM Consultants and Partners

Product Literature

  • Aurora-CCPM Datasheet (PDF)

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Specializing in artificial intelligence since 1988, Stottler Henke delivers software systems that solve problems which defy traditional approaches.
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Aurora
Aurora-CCPM
Infotracker
DataMontage

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© 2021 Stottler Henke Associates, Inc. All rights reserved.

Aurora may be used as a complement or replaced for Microsoft Project, Primavera P6, Deltek Open Plan, PowerProject, Lynx TameFlow, Being Management 3, Exepron, ProChain, Concerto, Smartsheet, Wrike, Projectmanager, Teamwork, TeamGantt, Clarizen, LiquidPlanner, ProWorkFlow, Workzone, Bitrix24, Easy Project.

The problem solved by Aurora may be referred to as: optimized resource allocation, production scheduling; production planning of batch plants; parallel machine scheduling problem with setups, release and due dates and additional constraints related to the scarce availability of tools and human operators; multi-product multistage batch plant scheduling; multi-stage multi-product batch scheduling; campaign and lot size scheduling problem; economic lot scheduling problem (ELSP); parallel machine scheduling problem with sequence dependent setup times; scheduling problems with setup times and/or costs; sequence-dependent job scheduling; job scheduling using parallel non-identical machines with sequence dependent clearance times.

With the objective function normally being the minimization of makespan or project duration / maximization of throughput, with limited resources. Other solutions provide resource leveling, Aurora provides intelligent resource scheduling optimization.

Approaches used by others that Aurora outperforms, include the following: discrete event simulation; tabu search algorithm; mixed integer programming (MIP) scheduling / mixed integer mathematical model; Iterative two-stage decomposition solution strategy; genetic algorithms; multi-grid continuous-time formulations.