Integrating Optimum Repair-Level Analysis and Inventory Decisions into the Logistics Support cost Structure.

摘要

The concept of Integrated Logistics Support (ILS) has emphasized the use of models to investigate the quantitative aspects of logistics acquisition management. According to a Rand report, sufficient models exist to satisfy the needs of ILS but additional effort is required to streamline the use of the models and make them more accessible to potential users. The Systematic Cost- and Logistics-Effectiveness (SCALE) procedure is a recent attempt by Battelle Columbus Lab. to conceptualize a framework in which specific mathematical models would interact in a logistics support context. LSC, ORLA and MOD-METRIC are 3 Air Force models proposed for SCALE integration. They contain considerable overlap in input requirements and lack a working vehicle for resolving model-to-model inconsistencies. This study shows that a FORTRAN-based consolidation routine reduces input requirements by one third and allows the user to build a single data array that can be accessed by any of the models. The input routine also facilitates the use of certain key outputs (described) which make it advantageous to integrate the models in a sequential fashion. The report includes an analysis of the models, the routine and a user's guide.