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Locomotive Simulation Optimizer LSO A Decision Support System for Locomotive Management

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To succeed in its mission, Locomotive Management needs to understand: ... CSX uses Locomotive Power Plan (One Plan) as a baseline to power scheduled trains. ... – PowerPoint PPT presentation

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Title: Locomotive Simulation Optimizer LSO A Decision Support System for Locomotive Management


1
Locomotive Simulation Optimizer (LSO)A Decision
Support System for Locomotive Management
Kamalesh Somani CSX Transportation November 6,
2007
2
Collaborators
  • A partnership between two companies
  • CSX Team
  • Locomotive Management
  • Operations Research
  • Mechanical
  • Innovative Scheduling Team
  • Ravindra K. Ahuja
  • Artyom Nahapetyan
  • Zeynep Sargut

3
Locomotive Management - Key Success Factors
  • Ultimate Goal of Locomotive Management
  • Produce throughputs with high levels of
    reliability and low cost
  • To succeed in its mission, Locomotive Management
    needs to understand
  • The impact of strategy changes on system
    performance.
  • Where to focus efforts?
  • How many resources are required for a given level
    of system performance?
  • How to prepare for and recover from random
    disruptions?

4
Powering Trains - Locomotive Power Plan
  • CSX uses Locomotive Power Plan (One Plan) as a
    baseline to power scheduled trains.
  • Power Plan specifies
  • Train to locomotive assignment
  • Train-train connections
  • Locomotive dwell
  • Fuel/service plan
  • However, various factors affect compliance to the
    Power Plan.

5
LSO Capture Reality within Locomotive Planning
Breakdowns, Q Maintenance Shop Process
Tactical Fueling and Servicing
Interaction with Unscheduled Network
Train Delays, Annulments, Second Sections
Tactical Repositioning
Locomotive Power Plan
Simulation/Optimization adds real-life events to
locomotive planning.
6
System Performance Criteria On the Scorecards
  • Train Originations
  • Train Arrivals
  • Locomotive Dwell
  • OOS (Out-of-Service Locomotives)
  • Setbacks trains and hours
  • Power plan compliance
  • Locomotive utilization

7
Purposes of LSO
  • Impact on system performance due to
  • Changes in fleet size/ fleet mix
  • Changes in shop capacity (spots in the shop)
  • Changes in of shops
  • Better operations reduced OOS rate, increased
    velocity, etc.
  • Changes in train network
  • Policy changes Power Plan, Terminal Operations,
    Train Priorities, etc.

8
Purposes of LSO (contd.)
  • Determine robustness of the power plan and
    assistance in improving it.
  • Develop potential solution to address terminals
    which often get in trouble.
  • Identify terminals that have the greatest impact
    on network performance.

9
Simulation Process
10
Terminal Operations
Shop
Terminal
Fuel Servicing
Arrival
Locomotive Failure
Consist Busting
Outbound Tracks
Inventory
11
Shop Operation
Shop
Terminal
Inventory
12
LSO Model Overview
Event Generators
Locomotive Events
Terminal Events
Shop Events
Train Events
  • Initial State
  • - Trains
  • Locomotives
  • Terminal
  • - Shops

Output Database
Locomotive Simulation Optimizer
Decision Engines
Train Arrival Module
Shop Routing Module
Tactical Repositioning Module
Train Departure/Consist Assignment Module
13
Combining Simulation with Optimization Consist
Assignment Module
Consider the Next Train in the List
Create a List of Departing Trains
Try to Find a Consist for the Selected Train
Analyze Locomotive Availability
Consist Assignment
YES
NO
Is consist available?
Try to Create a Consist
YES
Is consist created?
Assign the Consist to the Train
NO
Adjust Train Departure Event
Is it the end of the list?
NO
14
Combining Simulation with Optimization Tactical
Repositioning Module
Inventory Analyzer (Next H hours)
Create Time-Space Network for Repositionings
Identify Surplus/ Deficit Nodes
Network Optimization Module
Trigger Train Arrival Events
Simulation Engine
15
Purposes of LSO
  • Impact on system performance due to
  • Changes in fleet size/ fleet mix
  • Changes in shop capacity (spots in the shop)
  • Changes in of shops
  • Better operations reduced OOS rate, increased
    velocity, etc.
  • Changes in train network
  • Policy changes Power Plan, Terminal Operations,
    Train Priorities, etc.

16
Scenarios 1 Change in Fleet Size/Fleet Mix
17
Scenarios 2 Strategy Change (Waiting Time for
Right Consist for Outbound Train)
18
Scenarios 3 Reliable Fleet (Changes in the OOS
Rate)
19
Scenarios 4 Better Train Operations (Changes in
the Train Velocity)
20
Scenarios 5 Changes in the Shop Capacity
21
Two Phase Deployment
  • Phase I (Completed)
  • Scheduled trains only
  • Simulation on the Locomotive ID level
  • Consist assignment from a specified set of
    consists
  • Encourage power plan compliance
  • Allow consist busting and consist formation
  • Locomotive repositionings using optimal decisions
  • Consider train priorities and encourage plan
    compliance
  • A simplified version of Q-maintenance and
    fallouts
  • Realistic modeling of shops and shop capacities
  • Phase II (Planned for next year)
  • Add unscheduled trains
  • Network affect of line congestion and terminal
    congestion
  • Add cab signal requirements
  • Improved shop router logic
  • Improved locomotive repositioning logic

22
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