Abstract
Projects are often described as one-time efforts to achieve a specific goal. However, many typical R&D projects are often not originally planned to end at a specific date or event, but (if successful) continue to the next version release and the one after, for the foreseeable future. The current scheduling methods developed for project scheduling do not provide the required tool for ongoing project managers. A novel application of clustering methods was developed to tackle this problem and provide (near) optimal scheduling and allocation of features to releases, based on precedence, values, resource demands and durations.
Original language | English |
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Title of host publication | 14th International Conference on Industrial Logistics, ICIL 2018 - Conference Proceedings |
Editors | Yuval Cohen, Zilla Sinuany-Stern |
Publisher | Ben-Gurion University |
Pages | 75-78 |
Number of pages | 4 |
ISBN (Electronic) | 9789655725735 |
State | Published - 2018 |
Externally published | Yes |
Event | 14th International Conference on Industrial Logistics, ICIL 2018 - Beer-Sheva, Israel Duration: 15 May 2018 → 17 May 2018 |
Publication series
Name | 14th International Conference on Industrial Logistics, ICIL 2018 - Conference Proceedings |
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Conference
Conference | 14th International Conference on Industrial Logistics, ICIL 2018 |
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Country/Territory | Israel |
City | Beer-Sheva |
Period | 15/05/18 → 17/05/18 |
Bibliographical note
Publisher Copyright:Copyright © ICIL, Beer-Sheva, Israel 2018.
Keywords
- Cluster analysis
- Combinatorial optimization
- Continuous projects
- Release
- Scheduling
- Version release