A Decision Support System to Evaluate Maintenance Requirements of Recoverable Item Populations

A microcomputer-based decision support system that determines and evaluates maintenance requirements of repairable item populations is developed. The model combines a multi-indenture maintenance tree concept with a nested Markov chain multistream concept to generate maintenance requirements for the total life cycle under steady-state as well as nonsteady-state conditions. The model meets the maintenance planning needs by providing spare parts requirements in the form of inventory levels, manpower hours required, the associated costs of the logistics system, and the availability of units for the proposed logistics. A case study is also presented.