Study on Quality Management of Logistics Equipment Systems

The research and manufacture of the military logistics equipment systems always brings problems in quality management for its complexity and particularity. To solve these problems, a analysis on equipment quality management is conducted. A comprehensive study on reliability, fault diagnosis, and risk analysis models are also performed. The reliability analysis of the system is fulfilled using a method of combined fuzzy inference and network analysis. This method solves the limitations of the traditional network analysis method, of which the result is defined for every failure mode. The abnormality of parameters corresponds to faults in the system, which can be used to establish a knowledge database and a fault diagnosis expert system. A quantitative risk assessment model is set up using a fuzzy comprehensive evaluation method and an incident loss comprehensive evaluation theory. Finally, the above method and model are examined for new trailer mounted equipment. The results validate the proposed method.