significant proportion of the national and
international flow of goods is transported and handled
temperature-controlled. The passive temperature control follows
without cooling or heating by means of aggregates, the goods
must be located within a certain temperature range during the
transport. Setting the temperature is currently based on
experience, using information like the transport time and the
condition of the transport container or weather conditions such
as outdoor temperature, wind speed and density of precipitation.
This paper proposes a design of a rule-based expert system that
improves the energy efficiency of passive temperature-controlled
transports. A rule based expert system is developed and
implemented in a software application. This system supports
shippers and logistics service providers in their decision on the
starting temperature of the transported goods. The system
predicts the optimum temperature for specific applications based
on current factors such as material properties or transport and
weather conditions. For that it uses fuzzy logic rules, which are
created by combining the methodology of fuzzy logic and decision
trees