Abstract
The purpose of this software is to pull data from the Oracle Primavera P6 scheduling tool and bring it into the DeepLynx data warehouse.
- Developers:
-
Brownlee, Jaren [1] ; Cavaluzzi, Jack [1] ; Harris, Brennan [1] ; Darrington, John [2] ; Suyderhoud, Peter [1] ;
[1]
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Idaho National Laboratory
- Release Date:
- 2023-10-12
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Java
- Licenses:
-
MIT License
- Sponsoring Org.:
-
USDOE Office of Nuclear Energy (NE)Primary Award/Contract Number:AC07-05ID14517
- Code ID:
- 114979
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Country of Origin:
- United States
- Keywords:
- Adapter; Scheduling; DeepLynx; Digital Twin; Data Warehouse; Digital Engineering; P6
Citation Formats
Brownlee, Jaren M., Cavaluzzi, Jack M., Harris, Brennan K., Darrington, John, Suyderhoud, Peter A., and Browning, Jeren M.
P6 Deeplynx Adapter.
Computer Software.
https://github.com/idaholab/p6-deeplynx-adapter.
USDOE Office of Nuclear Energy (NE).
12 Oct. 2023.
Web.
doi:10.11578/dc.20231026.1.
Brownlee, Jaren M., Cavaluzzi, Jack M., Harris, Brennan K., Darrington, John, Suyderhoud, Peter A., & Browning, Jeren M.
(2023, October 12).
P6 Deeplynx Adapter.
[Computer software].
https://github.com/idaholab/p6-deeplynx-adapter.
https://doi.org/10.11578/dc.20231026.1.
Brownlee, Jaren M., Cavaluzzi, Jack M., Harris, Brennan K., Darrington, John, Suyderhoud, Peter A., and Browning, Jeren M.
"P6 Deeplynx Adapter." Computer software.
October 12, 2023.
https://github.com/idaholab/p6-deeplynx-adapter.
https://doi.org/10.11578/dc.20231026.1.
@misc{
doecode_114979,
title = {P6 Deeplynx Adapter},
author = {Brownlee, Jaren M. and Cavaluzzi, Jack M. and Harris, Brennan K. and Darrington, John and Suyderhoud, Peter A. and Browning, Jeren M.},
abstractNote = {The purpose of this software is to pull data from the Oracle Primavera P6 scheduling tool and bring it into the DeepLynx data warehouse.},
doi = {10.11578/dc.20231026.1},
url = {https://doi.org/10.11578/dc.20231026.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20231026.1}},
year = {2023},
month = {oct}
}