Preasha interfaces daily with the US Marine Corps Global Combat Support System (GCSS-MC), the Department of Defense Property Accountability System (DPAS), the Stock Control System (SCS), and Wide Area Work Flow (WAWF) system. Our access and familiarity with these military / DoD systems culminates primarily in the handling of logistical data that supports the supply chain and the subsequent management thereof. Preasha personnel are highly skilled at analyzing this information and applying it such that clients can understand, improve, and refine their internal processes from one or more useful angles.

Our clients choose us for our insight and the value we extract from the raw data being mined, derived, analyzed, and presented, as well as for the sizable amount of experience we have with the host systems. Preasha’s approach to data analysis expands the usefulness of the data, in that a single interpretation does not exhaust all of its meaning: our interpretations have a depth to them that allow our clients to extrapolate additional value from data based on their vertical or business need. Additionally, Preasha has the ability to take either legacy data or data from various stores and consolidate it, thereby allowing it to be interfaced with additional external databases or systems.

While the data we handle comes entirely from government and military systems, our capabilities are not at all limited to clients in those sectors. Our ability to provide data mining and refinement support is just as readily available to non-government organizations (NGO) as it is to government-based businesses. The systems Preasha currently supports at government clients are built on industry-standard systems and protocols such as Oracle, MS SQLServer, and others, all of which translate seamlessly into private sector business.
Operational Logistics Analysis - Operations at different levels of an organization take on different roles depending on their functions within the organization’s unique organizational hierarchy. Personnel at each level need to understand how the military logistics system supports their operations at their particular level in order to know if exceptions are taking place, and if any potential issues exist that might arise in the future. PLC provides this knowledge to customers through the use of performance metrics and comparisons with historical values on a per-organization basis. Our familiarity with isolating and interpreting key performance data, regardless of level or format, gives PLC an interpretive advantage when defining the rules that dictate exception reports against current and/or forecasted performance thresholds.
Cost-To-Capability Analysis - When combined with budget and funding information, analyses of equipment overages and shortfalls across organizations allow PLC to uncover and understand cost shortfalls and potential financial credits. The complexity of this task varies by organization, but typically requires an understanding of specific unit overages and underages such that PLC can determine opportunities for lateral distribution (essentially “smoothing out” peaks and valleys into a more consistent, forecast-able inventory stream).

Cost-Capability analysis begins with the identification of net assets across an organization and the selected level of aggregation of the unit(s) being analyzed. From there, PLC can identify cost build-ups and isolate gaps based on Authorized Acquisition Objectives (AAO), equipment density goals, and actual on-hand (O/H) quantities. Further analysis shows the costs of filling gaps based on supply sources and distribution methods.
Readiness Driver Analysis - PLC analyzes and highlights equipment life cycle criteria to determine the factors / characteristics that influence and ultimately drive an organization’s overall readiness. This task delves into the specifics of the items being analyzed and varies greatly depending on their function and availability. By determining the negative impact equipment life cycle has on materiel readiness (R-rating) and supply readiness (S-rating), PLC can give decision makers the ability to drill down into their combined, integrated data and determine which items wield the greatest amount of leverage and potential for management control.

Data requirements for readiness driver analysis include (but are not limited to) the initialization data set, which consists of supply chain, personnel, and equipment data; hierarchical information for units across the organization; TFMS - people (T/O) and equipment (T/E) for selected organizations; transactional supply, maintenance, and transportation (delivery) data; Weapon System readiness data - materiel (R-rating) and supply (S-rating) (as applicable); and data supporting key metrics calculations, such as personnel availability, Customer Wait Time (CWT), Logistics Response Time (LRT), Maintenance Down Time (MDT), Transportation Delivery Time, and Mean Time Between Failures (MTBF) for selected equipment in T/E, among others.

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Preasha Logistics & Consulting
Bellevue, NE 68123

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