This is a Integer Programming model to solve the order fulfillment problem.
The order fulfillment problem is a typical decision problem in e-commerce and the retailer industry. It needs to be determined which distribution centers are used and which carriers should be considered for the transportation of the order to the customer. Of course these are not all aspects of the order fulfillment problem, but these decisions will be the focus of this model.
The most important files created are main.go
and input.json
.
main.go
implements a MIP knapsack solver.input.json
is a sample input file that follows the input definition inmain.go
.
Run the command below to see if everything works as expected:
go run . -runner.input.path input.json \
-runner.output.path output.json -solve.duration 10s
A file output.json
should have been created with a solution to the order
fulfillment problem.
To push your app to the Nextmv platform via nextmv app push ...
, you will need
to have zig installed and available on your
$PATH
.
Pre-requisites: Docker needs to be installed.
To run the application locally in the same docker image as the one used on the Nextmv Cloud, you can use the following command:
GOOS=linux go build -o main . && \
cat input.json | docker run -i --rm \
-v $(pwd):/app ghcr.io/nextmv-io/runtime/default:latest \
/app/main
You can also debug the application by running it in a Dev Container. This
workspace recommends to install the Dev Container extension for VSCode. If you
have the extension installed, you can open the workspace in a container by using
the command Dev Containers: Reopen in Container
.
- Open
main.go
and read through the comments to understand the model. - API documentation and examples can be found in the package documentation.
- Further documentation, guides, and API references about custom modelling and deployment can also be found on our blog and on our documentation site.
- Need more assistance? Send us an email!