Case study linear asset insp optimization 002 161104 jimc

Objective BenefitsSolution Quick Facts

Hypothesis

Accuracy and complete Linear / geospatial master data is critical to definition of equipment location information that when used to aggregate failure data to establish patterns and distribution analysis can be used to formulate condition and predictive maintenance tactics for field base airport infrastructure assets.

Master data governance of linear attribution including alignment of geospatial coordinates results in high integrity, complete and accurate equipment state data.

Linear attribution associated to Maintenance Plans and Task Lists provides instruments that can be applied to very specific segments of field based aviation equipment allowing for better planning, scheduling, routing and execution of corrective actions.

The following case illustrates the importance of accurate equipment location data used to optimize a low-visibility lighting system inspection program without materially reducing safety, reliability and compliance?

SAP MDG for Linear Asset Management – Aviation Services Case Study

Permission of C-MORE Optimization of Inspection Interval for Centerline Lights at Pearson Airport, Presentation by Hossein Mohammadian at Canadian Airports Electrical Association (CANEW ), St. John’s, Newfoundland, Canada, September 25, 2012 - http://www.iesalc.org/?wpfb_dl=378

http://www.iesalc.org/?wpfb_dl=378


Hypothesis

Accurate and complete linear / geospatial master data is critical to definition of aviation maintenance tasks. Accurate and complete real-time location data can drive better planning, routing, scheduling / execution.

Problem

Center-line runway lamp bulb replacement presents complex scheduling problems

Method

Apply linear / geospatial data at equipment level to trigger inspection / repair tasks

Solution

Applying a governance process around location data enables lamp bulb inspection intervals to be optimized, scheduled and executed resulting in compliance, saving of time / costs and improved customer service to airport operations.

SAP MDG for Linear Asset Management creates alignment between linear and geospatial data and keeps it accurate.

Case Study : Role of Linear & Geospatial data in Optimization of Inspection program for Low Visibility Lighting System – Canadian International Airport

Reference: C-MORE Optimization of Inspection Interval for Centerline Lights at Pearson Airport, Presentation by Hossein Mohammadian at Canadian Airports Electrical Association (CANEW ), St. John’s, Newfoundland, Canada, September 25, 2012 - http://www.iesalc.org/?wpfb_dl=378



Problem

Center-line Landing Lamp Bulb Failure

• A large airport landing strips have thousands of lamp bulbs (surface / above

grade) that are required to be highly available.

• Operational Standards dictate minimum outage / backlog of center-line lamp

bulbs for a maximum illumination within a segment.

• Multiple types of lamp bulbs and random failure predictability requires a

large inventory of lamps- significant inventory and staging problem

• Weekly inspection intervals failed to meet minimum lighting regulations

landing strip

• Maintenance service windows are dynamic and service plans / schedules

difficult to execute.






Method

Linear Asset Data Driven Condition based Inspection

• Assign linear and geospatial attributes to each lamp location and schedule work based on linear patterns

• Develop a Optimized Inspection Interval approach based on failure analytics / OEM history by linear / geospatial locations

• Standardize lamp bulb types – establish a just-in-time inventoryfulfillment practice

• Develop lamp bulb replacement logarithms for each land strip based on failure frequency

• Prepare plans, schedules and replace failed bulbs and end-of-life bulbs to reduce downtime control outage impact and frequency



Linear asset – Optimized Inspection Interval


Solution

Linear / geospatial master data governance plays a key role in data quality that is critical to optimization of aviation maintenance tasks.

Each Light is a Linear Asset w/ Unique Geo Coordinate

Failure Mode based on Location Master

Data

Inspection optimized based on Linear Asset Data

Maintenance Plans and Task List aligned to Linear Pattern / Equipment Type


Features of SAP MDG for Linear

• Functional Location / Equipment objects enable w/ linear data attribution – SAP LAM

• Integration ready for SAP GEF - Geospatial Enablement Framework – FLOC and Equipment

• Configurations for logical linear inheritance – FLOC – FLOC; FLOC –EQ ; EQ-SubEQ

• Linear Maintenance Plans, Task Lists – improve planning & scheduling - routes

• Master Data Governance framework with business rule drive workflow;

• User workshops effective in establishing data relationships w/ validation

• Configurations to enable linear gap and overlap checking w/ logical error messaging

• Linear data quality validation – completeness, integrity, timeliness, accuracy

CONCLUSION:

SAP MDG for Linear Asset Data improves aviation maintenance

Permission of C-MORE Optimization of Inspection Interval for Centerline Lights at Pearson Airport, Presentation by Hossein Mohammadian at Canadian Airports Electrical Association (CANEW ), St. John’s, Newfoundland, Canada, September 25, 2012 - http://www.iesalc.org/?wpfb_dl=378



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