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Cost Modeling Technologies
In assisting the government and commercial entities to stretch budgets and control costs, KBSI has continued developing innovative ways to address cost management issues, utilize best costing practices, and develop costing methodologies. KBSI’s technologies combine structured methodologies with the latest costing practices.
When determining how to cost different maintenance strategy options, decision makers must consider not only the costs that will be incurred today, but also the costs that will be incurred as a consequence of the actions under consideration. In other words, effectively weighing different maintenance strategy options requires both cost accounting and cost projection methods and tools. Cost accounting methods assist in appropriately allocating observed costs based on actual resource consumption. Methods like Activity Based Costing (ABC) provide a useful framework for this purpose. Cost projection involves determining that costs that will be observed and the timeframe in which they will be incurred. KBSI has achieved success through decades of experience in providing the Department of Defense and industry with the necessary technology to assist them in their cost management issues.
In addition to numerous research initiatives, KBSI has developed its own COTS to assist its customers. AIØ WIN® software models business activities and, its automated Activity Based Costing (ABC) modeling and analysis capabilities, trace the costs of those activities. KBSI’s SMARTCOST® can help capture the significant cost elements in a domain and the attributes that drive their costs. Capture rules encode experts’ experience in how costs are realized. SMARTCOST® can also help visually organize knowledge bases within a product or work breakdown structure and dynamically pivot to view the knowledge in different ways or create reusable knowledge modules of an entire knowledge base or just pieces of the knowledge base. It can also help assemble composite knowledge bases from these reusable components and generate multi-level cost models supporting estimation summary, and then drill down to details.
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