One Dimension Stock Cutting
This app solves the problem of cutting stock lengths to satisfy varied customer orders minimising waste i.e. cutting steel beams. The core of the app uses PuLP and the workflow combines simple grids with pie and stacked column charts.
Bulk Facility Storage Optimiser
This app solves the problem of choosing an optimal set of leasing contracts for different types of storage to maximise revenue i.e. renting out bulk storage. The core of the app uses PuLP and the workflow combines simple grids with an area, pie and column charts.
Facility Location Optimisation
This app solves the problem of deciding which facilities to commission to serve a geographically dispersed demand minimising a combination of transportation and capital costs. The core of the app uses PuLP and the workflow combines simple grids, pie charts and a KML map.
No problem solving related toolkit is complete without a sudoku solver worked example! The core of the app uses PuLP (an implementation using Gurobi's Python interface is also provided) and the workflow uses simple grids.
Staff Rostering Optimiser
This app solves a simple rostering problem where staff, paid differing amounts indicate availability to cover a given workload. -The core of the app uses Gurobi's Python interface and the workflow uses simple grids a timeline, pie and column charts.
Diet Selection Optimiser
This app takes a set of nutritional targets, a selection of foods with different nutritional content and their costs and chooses a selection of food servings to meet the nutritional targets at minimum cost. The problem solved is often referred to as the classic diet model. The core of the app uses Gurobi's Python interface and the workflow uses simple grids, and some simple charts.
This app solves the well known Knapsack problem. Given a set of items with weights and values, and a 'knapsack' that can hold a certain weight, allocate items to the knapsack, such that the value of the items contained within is maximised. The core of the app uses LocalSolver and the workflow uses simple grids, and charts.
Linear Regression with R
This app shows how to interface to R, the well known statistical computing package, with a Tropofy App. The workflow uses simple grids and a scatter chart.