Advanced Decision Support Systems

Few efforts are likely to have greater significance for government or industry than those aimed at improving the skills, knowledge, and experience of decision makers.  Increasingly, decision makers at every echelon are expected to consistently make the right decisions, at the right time, in highly ambiguous, pressure-laden situations, and these decisions must be timely, well reasoned, and effective.  Advances in information technology, decision aids, and expert systems have largely complicated, rather than improved, the situation.  The ubiquity of data and the challenges associated with staging and utilizing this data tend to complicate the job further. The key to resolving this situation lies in understanding what makes effective decision makers and how to best advance decision maker proficiency to reach consistently high levels of decision quality and decision execution proficiency.

KBSI has developed a number of methods and tools that address these challenges. KBSI's decision support systems help decision makers more accurately assess individual decision-making effectiveness, and help train decision makers to dramatically and predictably improve their decision-making skills, knowledge, and experience. These systems provide the necessary foundations for helping to institutionalize decision-making among professionals, making the art of decision making, like the art of leadership, a career-long endeavor.

 

 

Army Transformation in Logistics & Sustainment (ATLAS™)

KBSI is developing a unified modeling and experimentation framework that uses simulation, tradeoff analysis, and data mining analysis and optimization to enhance the Army's current and future combat systems maintenance and maintenance manpower planning.

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Post Deployment Software Maintenance (PDSM)

KBSI developed and refined a library of models for post deployment software maintenance (PDSM) workload estimation and a comprehensive methodology for PDSM concept analysis:  i.e., how to think about the support of software-intensive systems, and how to formulate and analyze tradeoffs in the design space. 

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Wireless-enabled Workflows for Ship Manufacturing and Repair (AWSM)

KBSI is developing a new paradigm for ship manufacturing based on a redesign of manufacturing processes and the use of computing and wireless technologies that will deliver information--activity statuses, resource availabilities, design and scheduling changes--to every user, work crew, or process, regardless of location, involved in the ship production or repair.

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Battlespace Superiority through Better Decision Making (SuperCision™)

KBSI is applying its expertise in data mining, Bayesian nets, and situation theory, and the novel use of commercial gaming technologies, in developing a training system to support the assessment and improvement of decision making skills. SuperCision™ methods and tools will provide an unprecedented ability for conducting scenario-based training and for significantly reducing the time and effort needed to create training scenarios tailored to meet the needs of individual trainees and the objectives of the training exercise. 

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Biosurveillance-based Integrated Outbreak Warning And Recognition System (BIOWARS)

KBSI is designing, developing, and deploying an adaptive system for the automated discovery of disease outbreaks and impending bio terrorism attacks.  Unlike current surveillance methods, BIOWARS applies syndromic surveillance, a knowledge based approach that looks for patterns of symptoms in the data that relate to or indicate common biological threat agents, and uses Bayesian networks to collect, organize, and store knowledge concerning these data patterns.  

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Blood Reserve Availability Assessment, Tracking, and Management System (BRAMS™)

KBSI is developing a system that allows users to manually enter data via a Web-based system, and to apply data mining and analytics in detecting blood supply problems, analyzing system behavior, evaluating alternate solutions, and optimizing the blood supply chain.

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Data Display Translation Framework (DDTF)

KBSI is developing an advanced component-based Data Display Markup Language (DDML), an XML-based neutral format also developed by KBSI, as the inter-lingua in translating the data display languages supported by different vendors.

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Framework for Enabling Adaptive Scenario Generation for Training (FEAST)

KBSI is designing an innovative methodology that enables dynamic scenario generation and adaptation for individual and team learning in simulation-based environments. 

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Information-Fusion based Indication & Warning Assessment and Recognition System (IIWARS)

KBSI developed a system that, using text mining technologies and information fusion, improves the DoD's terrorist threat assessment capabilities. IIWARS uses advanced text and data mining methods to mine data from multiple, distributed text sources (news feeds, web databases, traffic reports, radio intercepts, human intelligence) and extract multiple features and "indicators" of an emerging or actual threat. These indicators are then fused into a threat model which can be compared to hypothesized threat Course Of Action (COA) templates.

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Ontology Driven Integration Framework (ODIF)

KBSI is designing and developing technology that will automate the sharing and integration of information among different organizations. The development of a common ontology for integrating diverse data sources, combined with knowledge extraction techniques and ontology analysis methods, will allow users to extract knowledge from distributed, unstructured text sources and share knowledge among large-scale project teams.

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Advanced MRO Multi-echelon Planning & Scheduling (ProPlan 21)

KBSI is researching and proofing concepts for an advanced maintenance, repair, and overhaul based multi-echelon planning and analysis technology.  The ProPlan 21 technology provides technology for the rapid definition, creation, and editing of constraint based MRO plans, enabling advanced constraint-management-based plan analysis and plan execution for depot management decision support across all production echelons.  

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Transformation in Maintenance and Repair (XFMR)

KBSI is examining the methods and technologies required to transform Air Logistics Center (ALC) operations to a warrior-centric, highly adaptive, and more efficient sustainment enterprise activities. The XFMR solution concept allows for interactive critical chain resequencing, constraint violation identification, and automated and optimized critical chain plan option generation. 

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Adaptive Toolkit for the Discovery of Threats (ATDT)

KBSI developed a toolkit that integrates intelligent knowledge discovery techniques, advanced data mining technologies, and knowledge-based methods for automated threat detection. ATDT is an agent-based decision support system that mines data (news feeds, web databases, traffic reports, radio intercepts, human intelligence, etc.) to extract meaningful knowledge or "indicators" of emerging threats.

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Adaptive Trajectory Reshaping and Control System (ATRC)

KBSI developed requirements for the design, development and demonstration of algorithms and real time solution techniques for an adaptable and reconfigurable Reusable Launch Vehicle (RLV) command, control, and guidance system.

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Generalized Event Representation Modeling and Analysis Tool (GERMAT™)

KBSI developed decision aids for the automated design and generation of intelligent information processing agents. The GERMAT™ technology provides knowledge-based assistance to neural network and fuzzy logic modeling, helping the U.S. Army to significantly improve battleground classification, target/decoy recognition and discrimination, logistics forecasting, intelligent data fusion, data mining, knowledge discovery, and optimization.

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Hybrid Decision Wizard (HDWizard™)

KBSI developed, built, and validated a hybrid decision support toolkit that utilizes a combination of common sense reasoning, domain knowledge based reasoning, and soft computing techniques to support intelligent decision making. The HDWizard™ technology is an agent-based decision support system that facilitates the automated generation of information from disparate and distributed data to support user-defined decision support goals.

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Knowledge Discovery Wizard (KDWIZARD)

KBSI designed, developed, and validated an adaptive framework for knowledge discovery. This framework provides mechanisms for generating knowledge-discovery applications beginning with end-user specifications of decision objectives and sets of data sources, provides users with a larger and more focused selection of decision alternatives.

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Military Health Data Mining Algorithms Library (M-HDML)

KBSI applied data mining technologies and techniques to the storage and retrieval of patient data, helping doctors to more accurately diagnose their patients.

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Post Deployment Software Maintenance (PDSM)

KBSI developed and refined a library of models for post deployment software maintenance (PDSM) workload estimation and a comprehensive methodology for PDSM concept analysis:  i.e., how to think about the support of software-intensive systems, and how to formulate and analyze tradeoffs in the design space. 

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Raster to Parametric CAD (R2P CAD)

KBSI investigated and demonstrated the conversion of CALS Type I raster mechanical drawings to parametric vector format, and to parametric 3D solid models, improving electronic commerce, competitive reprocurement, and maintenance for related systems.

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Toolkit for Enabling Adaptive Modeling & Simulation (TEAMS™)

KBSI developed a decision support tool that uses simulation to help NASA's Kennedy Space Center (KSC) model and simulate various activities associated with the spaceport project operations, improving decision making in areas like space vehicle mix impact, launch rates, asset utilization, and spaceport life cycle costs.

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Pathfinder

KBSI designed and developed a comprehensive suite of technologies for life-cycle cost justification, cost/benefit analysis, integrated performance prediction, quantified trade-off analysis, and management decision-making for individual project selection, monitoring, and control. Pathfinder addressed the need for life cycle costing in depot environments, where the operational benefits of acquiring and maintaining weapons systems must be continually balanced. 

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