Solving Planning & Scheduling Problems

Over the past two decades, KBSI has successfully completed over $7M worth of planning and scheduling initiatives utilizing artificial intelligence and optimization techniques. We've applied our expertise in optimization, planning, agent technologies, scheduling, process representation, and life-cycle modeling and analysis to the development of innovative, knowledge-based solutions that address challenges in warehousing, path planning, and loading for a wide variety of industries including manufacturing, transportation, computer processing, production planning, and space transportation systems.

KBSI has significant expertise in building software tools for scheduling heterogeneous workloads in various workshops at large military depots. The Workload Transition Testbed (WTT) technology and WorkSim® are two powerful scheduling tools developed by KBSI for Air Force maintenance depots. KBSI has also developed, as part of research funded by the Department of Defense, a generic scheduling model that can be adapted to represent a wide spectrum of complex, deterministic scheduling problems. WorkSim® has also been successfully used for planning and scheduling applications at Bender Shipbuilding and Repair and at the NASA Kennedy Space Center. This simulation-based scheduling technology was also leveraged in KBSI's development Soldier Focused Logistics-based management decision-making and capability assessment support for the CH-47 PMO in the Army Transformation in Logistics (ATL) Go-To-War (GTW™) project.

KBSI’s Reliability Centered Maintenance Scheduler (RCMS™) tool and supporting application methodology helps users maximize propulsion system availability while simultaneously minimizing life cycle cost.  The tool encapsulates a reliability-centered maintenance (RCM) strategy that supports maintenance planning and scheduling such that multiple competing objectives are simultaneously optimized. 

KBSI’s RampMap® software is helping the Oklahoma City-Air Logistics Center (OC-ALC) achieve real-time visibility of aircraft and ground support equipment (GSE), improving their ability to quickly locate, stage, deploy, and coordinate critical resources for product and resource movement, planning and scheduling. Tinker Air Force Base, in addition to the Eastern Range (Space Launch support at Cape Canaveral Air Force Station), also utilize KBSI's Visual Planning Wizard for schedule conflict identification and automated and semi-automated de-confliction across echelons and constraint types.

 

 

RampMap®

The RampMap® software provides map-based, real-time visibility of maintenance, repair, and overhaul (MRO) assets on site. This kind of visibility is critical to reducing the wasted movement of aircraft, or other MRO subjects, and to improve the collaborative planning, resource allocation, dispatching and statusing of MRO assets and work.

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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.

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Corpus Christi Army Depot (CCAD)

KBSI is working with the Corpus Christi Army Depot (CCAD) in Corpus Christi, Texas to improve MRO facilities and production support a broad range of rotor-wing aircraft, engines, transmissions, and components. KBSI's work has focused on helping CCAD develop comprehensive plans for meeting all current required product support and expected increases, and maintaining the core capabilities that define the depot mission while providing the necessary adaptability for dynamically shifting operational requirements. CCAD is the premier rotor-wing remanufacture and testing facility in the United States, and currently conducts over $2.5B in MRO activities annually.

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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).

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XML/IDEF3-based Training

KBSI defined a neutral format for capturing, organizing, and sharing process-related knowledge that is based on the Integrated Definition family of methods and the eXtended Markup Language (XML). Using this standard, KBSI developed an advanced authoring tool-kit for situation-based, process-centric computer-based training systems.

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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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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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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. 

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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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On Demand Simulation Support (ODSS)

KBSI designed, built, and deployed a system that provides for the rapid creation and application of simulation modeling for depot management decision support. ODSS uses a hybrid discrete-event/rule based simulation engine for execution within an advanced experiment management environment, providing support for optimizing plans, schedules, situation response, and process designs.

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Sustainment Technologies for Aircraft Depot Maintenance (S-Physics)

KBSI is developing a roadmap for depot information integration and situation based planning, scheduling, and control system support. KBSI is taking a scientific approach, studying the MRO environment, its fundamental nature, the underlying physics of MRO operations and processes—planning, scheduling, execution, control—and the processes that perform the repair. 

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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.

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