Intelligent matching of goods and freight transports is a complex task since different transport modes, such as trains, vessels and trucks have different strengths and weaknesses. Today, however, not only transport cost and time are considered but also the low emission is regarded as an important objective in intermodal freight logistics. The paper describes an approach for generating and ordering transports alternatives in the presence of cost, time, and emission conflicts. In order to obtain a reasonable ordering for generated alternatives we propose the use of the normalized Chebyshev distance between an alternative and a reference point, herein defined as a middle point. By doing so, preference information from a decision maker may be taken into account. The approach is tested on a medium sized problem. The results are promising and indicate the possibility of using the developed method in a decision support system.