This study focuses on analyzing the cargo consolidation and shipment planning problems for a combined air/sea freight forwarder. This study develops a multiobjective programming model that simultaneously minimizes the total expense charged by the carriers (airlines and shipping lines) and minimizes the cargo total generalized shipping costs. The supply-side uncertainty, such as reduced capacity and schedule variation, is also formulated by using chance constraint programming model. Furthermore, the trade-offs between forwarding expense and cargo generalized shipping costs are also taken into consideration. A numerical example with selected air/sea freight forwarder networks was provided to illustrate the results and the application of the proposed models. Moreover, a group of optimal solution for cargo consolidation and shipment was determined. An optimal sea-air consolidation routing was also determined. The numerical results provided higher flexibility on shipment planning for the air/sea freight forwarding. In addition, it is envisaged that the results of this study may shed light on cargo consolidation and shipment planning decision support systems for freight forwarding.