A Multi Objective Chance Constrained Programming Model for Intermodal Logistics with Uncertain Time

This paper presents a multi objective chance constrained programming model for matching of goods and transports in an intermodal transport chain under uncertain delivery time. The objectives in the proposed model are cost, emission, and transport time, where time is considered as an uncertain parameter. An approach to solve the model is proposed, and this approach has been implemented in a web-based system for transport matching in order to provide clients with alternative transport routes in a large system of possible transport solutions. A case study of a Swedish shipping company is analyzed, and the results are presented through comparisons of results from deterministic and stochastic models. The suggested model can help a decision maker to select transport alternative compromising between time, cost, emission, and with respect to uncertainty in transport time parameters.