Essential, Closed-Loop Planning, Scheduling, and Execution support tools (ECLiPSE)

Period of Performance: 06/01/2012 - 04/01/2013

$150K

Phase 1 SBIR

Recipient Firm

Knowledge Based Systems, Inc.
1408 University Drive East Array
College Station, TX 77840
Principal Investigator

Abstract

ABSTRACT: Knowledge Based Systems, Incorporated (KBSI), proposes to transform aircraft depot maintenance by providing Essential, Closed-Loop Planning, Scheduling, and Execution support tools -- ECLiPSE. ECLiPSE is comprised of the following elements: collaborative task planning (scripting) support; collaborative, simulation-based dispatch planning and scheduling; shop floor data capture and execution management support tools; back-shop support coordination and management support methods and tools; metrics designed as part of a comprehensive organizational architecture strategy, supporting enterprise performance optimization; and a clear way forward, leveraging upon the experience of Oklahoma City Air Logistics Center (OC-ALC) first line supervisors. The proposed effort addresses several critical voids in the depot MRO systems architecture that have heretofore been largely ignored. Among the innovations that are reflected in this approach are the following: recognition and clear articulation of critical differences in the depot MRO domain that dictate unique solutions; extensive reuse and leverage of previously developed sustainment technologies; application of both rule-based and discrete event simulation elements to support dynamic shop floor task planning and scheduling; robust characterization of the data, information, and knowledge elements needed to support shop floor event capture; and a strategy supporting the goal of depot transformation toward a responsive enterprise. BENEFIT: The proposed effort addresses several critical voids in the depot MRO systems architecture that have heretofore been largely ignored. Among the innovations that are reflected in this approach are the following: recognition and clear articulation of critical differences in the depot MRO domain that dictate unique solutions; extensive reuse and leverage of previously developed sustainment technologies; application of both rule-based and discrete event simulation elements to support dynamic shop floor task planning and scheduling; robust characterization of the data, information, and knowledge elements needed to support shop floor event capture; and a strategy supporting the goal of depot transformation toward a responsive enterprise.