Decisions of Autonomously Controlled Logistic Objects

Autonomously controlled transportation processes require decision making of logistic objects regarding routing alternatives. In this contribution a multicriterial evaluation assessment procedure is introduced basing on the fuzzy hierarchical aggregation, adapted and further developed at the CRC 637 “Autonomous Control of Logistic Processes” at Bremen University. The main design focus was user-friendliness within autonomous control and other fields of application. The example of use is a hierarchical structure of the subcriteria characterising the routing alternatives of an autonomous package. It is shown that the procedure can consider unprecise and fuzzy formulated knowledge directly in the model, while parameter adjusting was reduced to a minimum. Different weightings and compensation effects of subcriteria are depicted. The contribution shows the evaluation on a two-subcriteria basis and the possibilities of multicriterial evaluation as well. The evaluation of hard and soft decision making is discussed.