Being embedded in the field of supply chain management, this doctoral dissertation will identify possible inefficient processes within the logistical chain of mass-customized out-of-gauge construction and earthmoving machinery, propose an alternative supply chain network design for production, assembly and distribution, and will create a respective model, together with a new cost function for OOG road transports. The research idea of this doctoral thesis is to study, whether it makes economic sense to rearrange final assembly, by moving it from the intermediate assembly center, or factory, to the very latest possible place, directly to the final customers premises. Ultimately, such a solution perhaps could minimize total supply chain costs, by substituting long and costly heavy and special transports of the fully assembled machines, with faster and cheaper standard in-gauge full truck loads, hauling the much smaller dismantled modules and components instead. By modelling these two supply chain network alternatives, and by building a novel cost function for OOG transports, this doctoral thesis will create a basic decision support tool for medium term operations planning. It will also set up a comprehensive methodology and supply chain network design that will allow researchers and the industrys decision makers to prototype and evaluate various supply chain structures involving heavy and special transports.