Solves the buffer preparation vessel sizing and assignment problem using mixed integer linear programming.
The untilperfect application solves the buffer preparation vessel sizing and assignment problem using mixed integer linear programming.
The source repo is at https://github.com/multipitch/untilperfect.
Builds are hosted at https://pypi.org/project/untilperfect/.
Documentation is hosted at https://untilperfect.readthedocs.io/.
This project was forked from https://github.com/multipitch/dissertation. The dissertation repo was created for my masters dissertation on the subject towards an MSc in Business Analytics from University College Dublin; further development has been forked here so that the dissertation repo remains frozen.
Install via pip:
$ pip install untilperfect
Provides the untilperfect CLI command
$ untilperfect --help usage: model.py [-h] [-b BUFFERS] [-n] [-p PARAMETERS] [-f PATH] [-s SOLVER] [-t PROBLEM_TYPE] [-v VESSELS] [-w] Solves the buffer preparation assignment and selection problem. optional arguments: -h, --help show this help message and exit -b BUFFERS, --buffers BUFFERS buffers filename (default: 'buffers.csv') -n, --no-plot do not generate plot -p PARAMETERS, --parameters PARAMETERS parameters filename (default: 'parameters.ini') -f PATH, --path PATH file path (default: <current working directory>) -s SOLVER, --solver SOLVER solver to be used (default: 'COIN_CMD') -t PROBLEM_TYPE, --problem-type PROBLEM_TYPE specify model to solve (default: 'complete'), other model options are 'basic', 'minimized_hold_time', 'mimimized_used_volume' -v VESSELS, --vessels VESSELS vessel filename (default: vessels.csv) -w, --write write problem to file in .lp format
Distributed under the MIT License.
© Sean Tully 2018-2019.
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