Challenges - Shippers - Operational Network Optimization

3D Load Optimizing

Decisions are based on incomplete, partial information. Inability to efficiently respond to events. Loads are not optimized for profitability. Deliveries lack integration with customer facility requirements and production needs.

Optimizing available transport space is a big challenge for many organizations. The need to pay for the whole container-/truckload and every additional good being added to the space generates direct impact on profitability. Being able to manage that space in an efficient way is often more profitable then running another tender or optimization route selection.

Efficiently utilizing space may sound easy, but managing space in an appropriate way means knowing measures of goods, knowing weights, and knowing what items can be ideally stacked. This is before we have tackled the challenges of loading and unloading, which must necessarily have an impact on the way that space is utilized, not to mention the various legal requirements that might require consideration (e.g. ADR, GDP/Pharma, etc.).

Another challenge that must be faced is that of incomplete information, in which the addition of goods of unknown size and dimensions inject uncertainty into otherwise optimized space allocations. Contingencies need to be created to handle these exceptions, such that good results can still be achieved without any human interaction.

Further considerations might be given to the optimization of high numbers of containers all bound for the same destination. A certain degree of flexibility between containers can increase the chance of saving space and boosting efficiency, but the problems of optimal utilization only become more complex in such scenarios.