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The option to select from more alternatives also increases the demand for computer aided planning. Furthermore, a potential increase of stakeholders, like multiple carriers and terminal operators, leads to higher planning complexity and also requires more coordination tasks for the LSP. We propose a planning algorithm with the objective to minimize costs and CO2 emissions, while maintaining delivery reliability. Our goal is to provide the human planner with a list of the top k multimodal routes.
Why is the Physical Internet a radical solution? Basically, because decentralized market economy mechanisms usually prevent holistic optimization as many providers of transport and logistics services are “locked-in” in their current ways of working and acting. This happens for instance by ﬁxed or sunk costs in speciﬁc equipment, preventing the individual actor from agreeing to large-scale collaboration and optimization. To arrive at such enhanced cooperation levels, shippers, manufacturers, retailers, carriers and other providers of logistics services should take the broader sustainability goals into the economic equation.
Again, by changing the input data, we can support consolidation decisions with the implemented planning system. In the time between planning and execution of an order, we can create ‘copies’ of the legs planned for this order. These copies have reduced capacity and possibly a reduced price. In the planning of a subsequent order, we also consider these copies, thus enabling consolidated shipments on certain legs. K. -E. Iacob 6 Implementation In this section, we shortly describe the Synchromodal Control Tower (SCT) system and its relationship with other surrounding systems from the LSP and with external actors.