In this article series, we look at improving the efficiency of a pallet warehouse, where all items are stored on standard-size pallets.
Along the way, we:
- Formulate a non-linear model of the situation.
- Compare several solvers, to see how they perform.
- Linearize our model to, hopefully, make it easier to solve.
- Disaggregate our model to make some variables exogenous, then iterate over an enumeration of the exogenous variables.
- Demonstrate use of Pyomo's last() and next() functions, which enable us to work with elements of ordered sets.
- Turn off a constraint using Pyomo's deactivate() function.
Importantly, we show that there's a surprising amount of extra storage space available for free, or minimal cost, just by redesigning the warehouse's racks and shelves.
The model is built in Python using Pyomo.
https://www.solvermax.com/blog/warehouse-space-for-free-non-linear-model
