This repository contains the PAS model. The purpose if to :
- from vessel-calls and port-parameter, build the PAS ("what, when, how ?")
- pass the PAS to a chain of outcome-modules for additional information, such as:
- energy consumption,
- pollutant emission,
- operators involved (future feature)
To run it, run main.py though python 3 with inputs in the "--PAS_instance" argument. If no PAS_instance is provided, the ./DOCLERISATION/PAS_instance.json will be loaded. Environment requirement are specified in ./DOCLERISATION/requirements.txt.
Generate port setting Selection of settings
The PAS output provide for each vessel-call the list of activities in the dock to process it. Activities correspond to atomic operations described in supply-chains. Briefly, for each activity is provided:
- information (operation description),
- scheduling (start, duration, end),
- resources used (such as machines or buildings) Furthermore, depending on outcome modules activated (settings), additional information can be added to each resource used, as :
- energy consumption (nature, quantity),
- pollutant emission (nature, quantity) Those information can be aggregated (e.g. sum, mean etc) or normalized (e.g. quantity/ton). ...
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- cargo (déchargement ou chargement complet)
- operator density
The model can be use by itself (considering it receive a proper PAS_instance) but is mean to be deployed in PIXEL platform. This mean thought a Docker image. To build the image:
docker build -t pas_model -f ./DOCKERISE/Dockerfile .
docker run pas_model python3 main.py # --PAS_instance {PAS instance content}