This paper deals with failure and diagnosis information support system for maintenance management. As the complexity of logistics systems is increasing with the introduction of factory automation equipment, there has been increased chance of catastrophic system failure because of conditions unique to each system due to maintenance functions. This kind of unexpected reactive maintenance is expensive because of extensive unplanned downtime and damage to machinery. To avoid such an unplanned machine downtime, it is needed to implement computerized maintenance management support system and use pro-active maintenance approach by either using historical maintenance data or by sensing machine conditions. This paper discusses failure and diagnosis information support of maintenance management system framework for Stacker Crane of AS/RS(Automatic Storage/Retrieval System) system as an proactive maintenance approach. Thus, by enabling such a framework, it can bring us more efficient planning and execution of maintenance to reduce costs and/or increase profits.