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KBSI is renowned for its expertise in optimization, scheduling, simulation, logistics, and supply chain management and has participated in numerous efforts to streamline, optimize, and manage programmed maintenance and logistics. KBSI has implemented over $7M worth of planning and optimization initiatives and has the necessary expertise to develop robust, commercial applications in the following areas:

	Production optimization
	Workflow optimization
	Business process optimization
	Production schedule optimization

KBSI has received funding from the DoD and NASA for the research and development of optimization methods for complex decision-making challenges. For example, KBSI developed an optimization modeling assistant (OMA) for NASA that can be used to model and solve several types of decision-making problems. Through an SBIR Phase II initiative funded by the U.S. Army, KBSI designed and implemented artificial intelligence techniques such as neural networks, genetic algorithms, and simulated annealing for commercial applications including technology that optimizes the cash shipment schedules of large banks.

In another SBIR Phase II effort (currently in Phase III), we developed a tool called WorkSim® that provides simulation-based optimal shop floor scheduling. WorkSim® uses WITNESS® software for deriving schedules and a heuristic algorithm for optimal schedule selection. The WorkSim® database stores all data and generated schedules for the active WorkSim® project, allowing users to build comprehensive scheduling projects, save those projects, and make updates to saved project workloads, tasks, resources, and all data associated with those elements. All generated schedules and reports are also saved in the WorkSim® database for easy access.

Funded by the Office of Naval Research, we also developed a resource-constrained finite capacity scheduling tool called WorkShip that provides optimal production schedules in shipyards. The tool based on a heuristic optimization method was successfully implemented at Bender Shipbuilding & Repair Co. in Mobile, AL.

Software Tool for Efficient Airspace Management (STEAM™)

KBSI is developing a software system that applies robust decision support tools, data mining, and statiscal methods to the intelligent management of special use airspace (SUA).

Human Enemy Network Influence Operations Map (HEN-IO-MAP)

KBSI is researching and designing and demonstrating an advanced utility-theoretic preference model for influence operations (IO) modeling. The HEN-IO-MAP system will apply utility theoretic models in creating a human enemy network influence operations map that incorporates cultural, social, and other factors using a simple knowledge acquisition process. The system will assist influence operations (IO) planners in the evaluation and formulation of influence operations.

Louisiana Center for Manufacturing Sciences (LCMS)

KBSI is studying measures for improving production planning in the U.S. shipbuilding industry. This study involves a comprehensive survey of current production planning practices in Tier 1 and Tier 2 shipyards and development of a TO-BE production planning environment for these shipyards.

Simulation-based Workload Planning & Shipyard Scheduling (WorkShip™)

KBSI, in conjunction with Bender Shipbuilding and Repair Co., GCRMTC, and John Lontos, developed a novel software toolkit for shipyard work planning and scheduling. WorkShip™ synthesizes software from prior KBSI work including the Workload Project Planner, Workload Transition Testbed (WTT™), and the Workload Simulator (WorkSim®). These tools utilize MS Project, WITNESS (Lanner Ltd.'s simulation software), and KBSI's scheduling engine, Work Planner. The software kit provides an open architecture to allow for "plug compatibility" with a number of operating environments.

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.

Generalized Event Representation Modeling and Analysis Tool (GERMAT™)

KBSI developed decision aids for the automated design and generation of intelligent information processing agents. GERMAT™ 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.

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.

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.

Spectrum Allocation, Frequency Deconfliction, & Scheduling Optimization (CNR Challenge)

KBSI is demonstrating the feasibility of developing an advanced spectrum allocation, frequency deconfliction, and scheduling optimization decision support capability for deployed fleet operations. The technology will improve electronic spectrum access and use for network-centric operations like training, testing, and warfighting.

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. HDWizard™ 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.

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.

Multi-Spectral Feature Fusion Framework (MSFF)

KBSI developed an innovative Multi-Spectral Feature Fusion (MSFF) framework for the automatic fusion of mission-critical data from hyper spectral data sources. The MSFF framework improves target detection from data that has been obtained from sensors with a wide diapason spectrum.

Mission Planning and Operation Director (M-POD)

KBSI is developing a novel approach to mission planning and operation that uses principles of dynamic inversion and constraint orthogonal polynomial basis (COPB) functions for solving a two-point boundary value problem for a non-flat (under-actuated) non-linear differential equation of motion. The M-POD technology will allow mission planners to prepare a complete mission plan in a matter of hours instead of months.

Advanced Tools For Process Specification Language (ATPSL)

KBSI developed the syntax and editor with which a process knowledge expert could develop process models for multiple applications. The technology simplifies the use of NIST's Process Specification Language (PSL) in process-oriented knowledge sharing.

System for MARitime Targets Recognition and Retrieval (SMART™)

KBSI is developing technology that addresses the shortcomings of current ship detection and identification systems. The SMART™ technology will integrate image classification, data simulation, and data fusion technologies and techniques, providing the capability to synthesize a vessel model of the target of interest from existing information, to simulate Infrared Sea Surface Skin Temperature Radiometer (ISAR) or other image sources based on the constructed model and selected environmental factors, and to generate initial match profiles from this synthetic source.

Spectrum Management Optimization and Deconfliction Enhancements (S-MODE)

KBSI is researching advanced scheduling and decision support technologies to promote more efficient frequency management--both now and in the future--and address known voids in ongoing spectrum management modernization efforts.

Intelligent Asset Tracking and Management System (IATMS)

KBSI developed a unified framework for geolocation knowledge that provides instant visualization of MRO assets, improving asset utilization and scheduling and MRO flow-times. The IATMS technology also allows for knowledge discovery of equipment-task and equipment-resource relationships using geolocation data and other external data sources.

Reliability Centered Maintenance Scheduler (RCMS™)

KBSI developed a tool and supporting application methodology that encapsulates a reliability-centered maintenance strategy supporting maintenance planning and scheduling such that multiple competing objectives are simultaneously optimized. The RCMS™ methodology and tool consider the overall effects of possible maintenance actions, or the risk of not performing those maintenance actions, on aggregate level metrics like engine availability, performance, and life cycle cost.

Automated Planning Software for a Dynamic Heterogeneous Collection of Manned and Unmanned Entities (PLANDROID™)

KBSI is designing, developing, and deploying a goal-directed, automated asset employment and redeployment planning framework. The goal of the PLANDROID™ initiative is to realize an automated environment for world state information management, asset capabilities characterization, mission and task requirements planning, candidate asset employment plan generation, plan assessment, and decision support.

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