multipitch/untilperfect

Solves the buffer preparation vessel sizing and assignment problem using mixed integer linear programming.

untilperfect

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.