1. 2016 Maintenance Innovation Challenge
Asset Life-Cycle Information Management (ALCIM)
PROBLEM STATEMENT
The Air Force has a need to reduce the impact of machine asset downtime on AF Support Squadrons (e.g., WR-ALC MXSS and others) activities to achieve the Air Force Complex of the Future: Efficient Depot (Attribute #4) and Intelligent Sustainment Network (Attribute #7) goals.
Providing continuous operations support for Efficient Depot requires constant adjustments to resources and schedules as asset availability becomes limited due to scheduled and unscheduled PM events.
Scheduling for baseline work packages involves careful planning and consideration of multiple factors, including tasks, machine scheduling, work crews, and precedence of some types of work over others in order to maintain smooth overall operations flow.
BENEFITS
The Asset Life-Cycle Information Management (ALCIM) project addresses the high priority technology needed to provide the Air Force Sustainment Center (AFSC) the ability to maintain awareness of the operational availability of key support machinery, assess the need for proactive maintenance and understand the impact of machine downtime to depot throughput.
Supplies objective evidence of actual machine usage and run time to drive preventative maintenance and reactive maintenance.
Provides key information about user interaction behavior for more efficient shop operations for future application refinement.
TECHNOLOGY SOLUTION
ALCIM integrates two successful SBIR programs for engineering analysis and decision support: 1) The LifeMeter condition-based machine asset maintenance program, and 2) The ARViSS (Analysis of Resources with Visualization and Integrated Simulation Support) information visualization and simulation program.
ALCIM provides WR-ALC engineering with integrated “data wall-display” solution. Provides Condition-Based Maintenance (CBM) information indicating status of LifeMeter instrumented machines and alerts to out-of-tolerance operations to reduce costly downtime periods.
Features “at-a-glance” graphical, near real-time mechanical, electrical and machine component performance monitoring as well as