A simulated annealing based hyperheuristic for determining shipper sizes for storage and transportation

The current drive to reduce packaging waste has led many companies to consider the use of multi-trip containers or shippers in which to transport their products in order to reduce packaging waste. The efficiency of such systems obviously depends on selecting shipper dimensions in such a way as to ensure high volumetric utilisation. As is the case with many practical problems the efficiency/solution quality can be improved if problem specific information is used to enhance the operation of a meta-heuristic solution approach. The problem can be modelled as a p-median problem but is too large to be solved in reasonable time without further modification. Four such modifications, all based on properties of the physical problem, are introduced and incorporated into a hyperheuristic driven simulated annealing solution approach.