Case study linear asset insp optimization 002 161104 jimc
- 1. 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
- 2. Objective BenefitsSolution Quick Facts 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
- 3. Objective BenefitsSolution Quick Facts 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. Case Study : Role of Linear & Geospatial data in Optimization of Inspection program for Low Visibility Lighting System – Canadian International Airport
- 4. Objective BenefitsSolution Quick Facts Case Study : Role of Linear & Geospatial data in Optimization of Inspection program for Low Visibility Lighting System – Canadian International Airport
- 5. Objective BenefitsSolution Quick Facts Case Study : Role of Linear & Geospatial data in Optimization of Inspection program for Low Visibility Lighting System – Canadian International Airport 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 inventory fulfillment 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
- 6. Objective BenefitsSolution Quick Facts Case Study : Role of Linear & Geospatial data in Optimization of Inspection program for Low Visibility Lighting System – Canadian International Airport Linear asset – Optimized Inspection Interval
- 7. Objective BenefitsSolution Quick Facts 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
- 8. Objective BenefitsSolution Quick Facts 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
- 9. Objective BenefitsSolution Quick Facts Value Engineering Using digital industry specific case studies, surveys and SAP MDG template your Utopia Value Engineers can combine solution know-how and industry-specific process expertise with data analytics to access and calculate business values aligned to the right digital reference architecture, approach. Don’t struggle with ‘Why MDG’ business drivers and spend cases - Utopia are certified in SAP Value Lifecycle Manager with the right tools, right now.