With 20 years of experiences in intelligent scheduling and resource management, Stottler Henke’s Aurora-CCPM is designed to help companies tackle complex situations with ease and carry out operations more efficiently and effectively.
- Ability to handle short-duration tasks, and update buffer reports on any timeframe (e.g., once every hour).
- Ability to handle multi-projects of huge size and complexity, Boeing uses Aurora to run projects that contain over 10,000 activities! The 64-bit version of Aurora has run projects with 150,000 but the theoretical maximum is much larger.
- Buffer reports can be run as frequently as desired even with the largest models.
- Ability to perform forward, backward, and mixed mode scheduling.
- Intelligent scheduling that can determine shorter critical chains.
- Ability to leverage knowledge about resource constrained task placement during execution. Due to execution time differences in how tasks are actually executed the resources may become available for a task that is shown later but actually could be done now and otherwise these resources would lie idle. Aurora-CCPM could determine in real time that it is best to complete this task now.
- Ability to take variability of tasks in a chain into account in buffer consumption. That is, if a chain consists of a series of low variability tasks at the beginning then a few high variability tasks at the end of the chain, standard buffer consumption reports could give an overly optimistic view of the situation.
- Sophisticated constraints beyond human capabilities — ability to handle physical space constraints, including taking into account the creation and elimination of the space during the project.
- Ability to run how the client wants to run. It can run as a standalone application under Windows, Linux and as a web-based application.
- Ability to easily integrate with other company systems / databases.
- Explanation of reasoning. Aurora-CCPM includes the rationale for each task on why it was schedule where it was schedule. Therefore, it is easy to determine what changes could be made for a task to occur earlier.
Situations where Aurora provides a competitive edge over other CCPM software systems:
Stottler Henke is headquartered at
1650 S. Amphlett Blvd., Suite 300 San Mateo, CA 94402.
The company also operates a software development office in Colorado Springs, CO.
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The problem solved by Aurora may be referred to as: optimized resource allocation, KPI (Key Performance Indicator) schedule optimization; production schedule / production scheduling; scenario planning; 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; multi-product multistage batch plant scheduling, parallel machine scheduling problem with sequence dependent setup times; 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, mixed Integer Programming (MIP) scheduling / Mixed integer mathematical model.
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.