Solving Planning & Scheduling Problems

Over the past two decades, KBSI has successfully completed a large number of planning and scheduling efforts utilizing artificial intelligence and optimization techniques. These techniques provide rich and flexible representations of real-world problems, allowing human expertise to be included in the loop. KBSI has implemented over $7M worth of planning and optimization initiatives. Our experience in optimization, planning, agent technology, scheduling, process representation, and life-cycle modeling and analysis ensure the successful development of innovative, knowledge-based solutions to issues 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 depot maintenance units. 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 adopted to represent a wide spectrum of complex, deterministic scheduling problems.

KBSI’s simulation based scheduling tool, WorkSim®, has been successfully used for planning and scheduling applications at Bender Shipbuilding and Repair and at the NASA Kennedy Space Center.  It is also being deployed at Tinker Air Force Base.  This simulation-based scheduling technology was leveraged in developing 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. In the depot environment, the inability to monitor the status and location of MRO assets results in increased costs as well as delays in the repair flow day. RampMap® provides knowledge based visualization, management, and tracking of aircraft and GSE across the ALC.  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 both automated and semi-automated de-confliction across echelons and constraint types.

KBSI’s PROPLAN™ is a planning and scheduling support system that assists with maintenance requirements definition, task planning, resource requirements definition, depot schedule development, multi-aircraft schedule feasibility analysis, schedule forecasting, work dispatching and contingency planning and simulation.

 

 

Best Practice ISEN Simulation Support for Work Center Planning (RISE)

This initiative is focusing on identifying/defining best practices in the application of simulation modeling and analysis support for work center planning activities and decision making at the Oklahoma City Air Logistics Center (OC-ALC). This initiative will demonstrate, using a current OC-ALC work center planning problem, the application of the discovered simulation modeling best practices and develop a recommended set of requirements and actions that will allow OC-ALC to move towards that best-practice state. 

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Ship's Lifecycle Affordability Model (SLAM)

KBSI is taking a systems dynamics approach to cost modeling for early-stage lifecycle cost estimation in building a lifecycle affordability model for the U.S. Navy.  This innovative approach will effectively combine discrete, linear, and hierarchical cost-estimating methods with activity based costing and non-linear system dynamics modeling tools to create a system in which the cost models will change over time (i.e., refine themselves) based on the current state of other influencing variables, including the current level of development and the estimated time to contract.

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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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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 (ProPlan21)

KBSI is researching and proofing concepts for an advanced maintenance, repair, and overhaul based multi-echelon planning and analysis technology.  ProPlan™ 21 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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Maintenance, Repair, and Overhaul Physics and Principles of Operation (MP2O)

KBSI is researching and developing resource management policy simulation methods and tools to help depot managers improve agility, throughput, and system responsiveness amidst ever-changing demands, priorities, and resource constraints.  MP2O based model focus on the essential aspects of the MRO system, allowing management to broaden their understanding of the MRO system and generate salient, rigorously tested decisions that are both comprehensive and pointed in their execution. 

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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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Reliability Centered Maintenance Costing (RCMC™)

KBSI developed the methods and tools needed to support the critical knowledge discovery, cost modeling, and maintenance cost projection needed by Reliability Centered Maintenance (RCM) decision makers. The RCMC™ methodology considers the effects of possible maintenance actions--including the risk of not performing those maintenance actions--on aggregate level metrics like engine availability, performance, and life cycle costs.

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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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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.

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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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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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Scenario Model Interoperability Toolkit (SMIT)

KBSI designed and developed a language, suite of tools, and methodology to facilitate the syntactic and semantic interoperability of scenarios and simulation models among diverse vendor-specific tools and applications.  The SMIT technology provides a scenario definition language that allows for easy inter-operability among simulators and enhances scenario data sharing. 

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Supply Support Integrated Process Team (SSIPT)

KBSI, in developing a Supply Support Data Warehouse to demonstrate the effectiveness of the Reengineered Supply Support Process (RSSP), joined simulation modeling and data warehousing. The data warehouse provides a single "virtual" database; the simulation model allows users to rapidly test the RSSP against varying "What If" scenarios.

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Toolkit for Intelligent Combat Planning & Simulation (TINCOPS)

KBSI developed a robust decision support system for creating thorough and flexible combat mission plans. TINCOPS is a knowledge-based computer-aid that manages and deploys knowledge for the U.S. military's complex combat decision support applications and for analyzing and evaluating logistics plans.

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