In this thesis, the concept of prognostics integrated logistics is introduced. The idea behind this concept is to investigate the use of technological tools for continuous monitoring and data gathering to do accurate prognostics on logistics requirements; i.e.: maintenance procedures, stock replenishment policies, manufacturing planning, transportation operations, delivery schedules, among many others. With prognostic logistics it is expected that uncertain situations can be reduced, giving the possibility to logistics systems to early detect possible equipment failures, and hazardous situations fast enough to take prompted actions. However, how far prognoses can be generated and how good the prognoses are, ultimately depends on gathering timely and accurate of information. Radio Frequency Identification technology (RFID) has been intensely investigated because of the large interest generated in logistics and supply chain management communities. The interest in this technology relies on the fact that RFID is perceived as a technology that can provide a cost effective solution for constant monitoring, and sensing in large scale logistic systems. The proof of the prognostics logistics concept is accomplished using as an application example, an RF based monitoring system for large belt conveyor systems.