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| Content Provider | ACM Digital Library |
|---|---|
| Author | Szekely, Pedro Singh, Karan Maheswaran, Rajiv Cheng, Huihui Chang, Yu-Han Wang, Yan |
| Abstract | Humans have difficulty evaluating the effects of uncertainty on schedules. People often mitigate the effects of uncertainty by adding slack based on experience and non-stochastic analyses such as the critical path method (CPM). This is costly as it leads to longer than necessary schedules, and can be ineffective without a clear understanding of where slack is needed. COMPASS is an interactive real-time tool that analyzes schedule uncertainty for a stochastic task network. An important feature is that it concurrently calculates stochastic critical paths and critical tasks. COMPASS visualizes this information on top of a traditional Gantt view, giving users insight into how delays caused by uncertain durations propagate down the schedule. Evaluations with 10 users show that users can use COMPASS to answer a variety of questions about the possible evolutions of a schedule (e.g., what is the likelihood that all activities will complete before a given date?). |
| Starting Page | 269 |
| Ending Page | 272 |
| Page Count | 4 |
| File Format | PDF MP4 |
| ISBN | 9781450310482 |
| DOI | 10.1145/2166966.2167015 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-02-14 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Gantt chart Visualization Schedule visualization Monte carlo simulation Uncertainty analysis Plan understanding |
| Content Type | Audio Text |
| Resource Type | Article |
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