RR-05 RR-05-05-01 — Wayside Detector Network (hot bearing, wheel impact, acoustic)

This process involves the operation and maintenance of wayside defect detector networks for hot bearing, wheel impact, and acoustic detection on a US Class I freight railroad. These detectors are crucial for identifying potential issues with rolling stock before they become critical failures.

🗺 BPMN Process Flow

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📋 Process Attributes

Process ID	RR-05-05-01
Domain Family	OPERATIONS
L1 Domain	Mechanical & Rolling Stock
L2 Process Group	Wayside Detector Network (hot bearing, wheel impact, acoustic)
Trigger	Detection of an anomaly by the wayside defect detector network (hot bearing, wheel impact, or acoustic).
Outcome	The process ensures that detected anomalies are properly identified, reported, and addressed to maintain the safety and reliability of the railroad's rolling stock.
Systems	Wayside defect detector network NetControl I-ETMS Umler EHMS TRAIN II CHARM
Regulatory Hooks	49 CFR Part 229 49 CFR Part 215 49 CFR Part 231 49 CFR Part 1180 AAR Interchange Rules (Rule 88 and related)

📋 L4 Process Steps

Step	Name	Role	System	Input	Output	KPI	Pain Point / Risk	Decision?	Exception?
1.1	Anomaly Detection	Service Operator	Wayside defect detector network	Sensor data from wayside detectors	Alert notification to the control center	Detection accuracy rate above 95%	False positives leading to unnecessary inspections	N	Y
1.2	Initial Assessment	Train Dispatcher	NetControl	Alert notification	Dispatch order for inspection train	Response time to anomaly detection under 30 minutes	Delayed response leading to potential safety hazards	Y	N
1.3	Inspection Train Dispatch	Control Operator	I-ETMS	Dispatch order	Train movement confirmation	Train dispatch accuracy rate above 98%	Incorrect train dispatch leading to operational delays	N	Y
1.4	On-Site Inspection	Machinist	Wabtec Modular Control Architecture	Train movement confirmation	Inspection report	Inspection completion time under 2 hours	Extended inspection times due to complex issues	Y	N
1.5	Defect Classification	Electrician (locomotive)	EHMS	Inspection report	Defect classification and repair plan	Defect classification accuracy rate above 90%	Misclassification leading to improper repairs	N	Y
1.6	Repair Planning	Manager-Locomotive Maintenance	Umler	Defect classification and repair plan	Work order for repair	Repair planning time under 4 hours	Delays in repair planning causing further operational disruptions	Y	N
1.7	Repair Execution	Senior Director-System Locomotive Facility	Downing B. Jenks Shop, North Platte, NE locomotive shop, Proviso Locomotive Shop, West Colton Yard and Shops	Work order for repair	Repair completion confirmation	Repair execution time under 24 hours	Extended repair times leading to increased downtime	N	Y
1.8	Post-Repair Inspection	Service Operator	Wayside defect detector network	Repair completion confirmation	Inspection report	Post-repair inspection accuracy rate above 95%	Missed defects during post-repair inspections	Y	N
1.9	Defect Resolution Reporting	Manager-Mechanical Maintenance	TRAIN II, CHARM	Inspection report	Defect resolution report	Defect resolution reporting time under 24 hours	Delayed reporting causing further operational issues	N	Y
1.10	System Update	Senior Manager-Mechanical Engineering	Wayside defect detector network	Defect resolution report	Updated system parameters	System update accuracy rate above 90%	Incorrect system updates leading to false negatives	Y	N
1.11	Training and Documentation	Chairman, President and CEO	NetControl, I-ETMS	Defect resolution report	Training materials and documentation updates	Training completion rate above 95%	Inadequate training leading to recurring issues	N	Y
1.12	Continuous Improvement Review	VP Network Planning & Operations	NetControl, I-ETMS	Training materials and documentation updates	Process improvement plan	Continuous improvement review cycle time under 6 months	Lack of continuous improvement leading to outdated processes	Y	N

📊 KPIs & Risk Register

KPIs

Detection accuracy rate above 95% Response time to anomaly detection under 30 minutes Train dispatch accuracy rate above 98% Inspection completion time under 2 hours Defect classification accuracy rate above 90% Repair planning time under 4 hours Repair execution time under 24 hours Post-repair inspection accuracy rate above 95% Defect resolution reporting time under 24 hours System update accuracy rate above 90% Training completion rate above 95% Continuous improvement review cycle time under 6 months

Key Risks

False positives leading to unnecessary inspections Delayed response leading to potential safety hazards Incorrect train dispatch leading to operational delays Misclassification leading to improper repairs Delays in repair planning causing further operational disruptions Extended repair times leading to increased downtime Missed defects during post-repair inspections Delayed reporting causing further operational issues Incorrect system updates leading to false negatives Inadequate training leading to recurring issues Lack of continuous improvement leading to outdated processes

Swim Lanes

Service Operator · 1.1, 1.2, 1.8 Train Dispatcher · 1.3 Control Operator · 1.4 Machinist · 1.5 Electrician (locomotive) · 1.6 Manager-Locomotive Maintenance · 1.7 Senior Director-System Locomotive Facility · 1.9 Manager-Mechanical Maintenance · 1.10 Chairman, President and CEO · 1.11 VP Network Planning & Operations · 1.12

Independently compiled from public sources. Not affiliated with, sponsored by, or endorsed by Union Pacific or any other railroad. Illustrative of US Class I practice; every system, regulation, role and metric named here traces to a sourced entry in registries/.