Optimization of Forestry Logistics Using the Best of GIS and ...
Optimization of Forestry Logistics Using the Best of GIS and Operations Research Kees van Loo
Overview
•
The Science of Operations Research (OR)
•
GIS & Logistics
•
Forestry Logistics: the Challenges
•
3-Step Solution
•
Conclusion
The Science of Operations Research (OR)
All About OR & Optimization •
OR is Math
•
Uses Modeling, Analysis and Optimization 5
4
•
4
Quantitative methods for Decision Support
3
3
2 1
2
1
1
4 2 3 5
Dispatching: Based on Order List
# Orders
Required Capacity
Time
Optimization: Analysis
# Orders
Required Capacity
Optimal Capacity Utilization
Time
Optimization: Target
# Orders
Required Capacity
Capacity Savings Optimal Capacity Utilization
Time
What is „Logistics“? Logistics is the management of the flow of goods between a point of origin and a point of destination in order to meet the requirements of customers or corporations
GIS and Logistics
Clustering: Before
Drive time: Distance:
4.766 Minutes 3.272 Km
Clustering: After
Drive time: Distance:
3.854 Minutes 2.465 Km
Site Selection •
Drive-Time Analysis
•
Demographics
•
All GIS Input
•
Production Forecast
Routing & Scheduling
Forestry Logistics: The Challenges
Challenge #1: Merging Road Infrastructure •
Integrate Forest Road Network with Standard Street Datasets
•
Provide a Single, Continuous Network for Optimization
•
Match Road Pairs, “Conflation”
Challenge #2: Scheduling Restraints and Parameters •
Many Forestry-Specific Parameters: -
-
Capacity of Trucks Size of Timber Maximum Angles/Gradients Availability of Loading/Unloading Equipment Back-ups at Paper Mills
Challenge #3: Dynamic, Real-time Optimization •
Weather Changes -
Rain, Snow, Wind
•
Equipment Availability
•
Plant Congestion
•
Average Speed Changes
3-Step Solution
Step 1: Merging the Road Networks Standard Streets
Step 1: Merging the Road Networks Forest Roads
Step 1: Merging the Road Networks Streets & Forest Roads, Separate Datasets
Step 1: Merging the Road Networks Matching Streets & Forest Roads
Step 1: Merging the Road Networks Merged Street/Forest Roads Network
Step 2: Dynamic, Real-Time Optimization by SyncroTESS •
Leading OR Partner: -
Spin-off University of Aachen 400+ OR Professionals
•
Considers all Real-time Input
•
Proposes Best Truck for next Load
•
Highlights Service Issues in Advance
•
Across Multiple Plants
•
Standard Interface to ArcGIS
Step 3: Telematics •
Using Tracking Server
•
Real-Time Information for Dispatchers and Drivers
Conclusion
“3 Component Solution” Available •
Integrated OR in ArcGIS
•
Trials in Germany and Switzerland
•
Needs additional Forestry Specific Input
•
Needs additional Country/Regional Input
•
Looking for Partners for Geocom/Esri Rollouts
Contact: •
Kees van Loo, Geocom Informatik GmbH ([email protected]
•
Peter Eredic, Esri, Inc. ([email protected])
Overview
•
The Science of Operations Research (OR)
•
GIS & Logistics
•
Forestry Logistics: the Challenges
•
3-Step Solution
•
Conclusion
The Science of Operations Research (OR)
All About OR & Optimization •
OR is Math
•
Uses Modeling, Analysis and Optimization 5
4
•
4
Quantitative methods for Decision Support
3
3
2 1
2
1
1
4 2 3 5
Dispatching: Based on Order List
# Orders
Required Capacity
Time
Optimization: Analysis
# Orders
Required Capacity
Optimal Capacity Utilization
Time
Optimization: Target
# Orders
Required Capacity
Capacity Savings Optimal Capacity Utilization
Time
What is „Logistics“? Logistics is the management of the flow of goods between a point of origin and a point of destination in order to meet the requirements of customers or corporations
GIS and Logistics
Clustering: Before
Drive time: Distance:
4.766 Minutes 3.272 Km
Clustering: After
Drive time: Distance:
3.854 Minutes 2.465 Km
Site Selection •
Drive-Time Analysis
•
Demographics
•
All GIS Input
•
Production Forecast
Routing & Scheduling
Forestry Logistics: The Challenges
Challenge #1: Merging Road Infrastructure •
Integrate Forest Road Network with Standard Street Datasets
•
Provide a Single, Continuous Network for Optimization
•
Match Road Pairs, “Conflation”
Challenge #2: Scheduling Restraints and Parameters •
Many Forestry-Specific Parameters: -
-
Capacity of Trucks Size of Timber Maximum Angles/Gradients Availability of Loading/Unloading Equipment Back-ups at Paper Mills
Challenge #3: Dynamic, Real-time Optimization •
Weather Changes -
Rain, Snow, Wind
•
Equipment Availability
•
Plant Congestion
•
Average Speed Changes
3-Step Solution
Step 1: Merging the Road Networks Standard Streets
Step 1: Merging the Road Networks Forest Roads
Step 1: Merging the Road Networks Streets & Forest Roads, Separate Datasets
Step 1: Merging the Road Networks Matching Streets & Forest Roads
Step 1: Merging the Road Networks Merged Street/Forest Roads Network
Step 2: Dynamic, Real-Time Optimization by SyncroTESS •
Leading OR Partner: -
Spin-off University of Aachen 400+ OR Professionals
•
Considers all Real-time Input
•
Proposes Best Truck for next Load
•
Highlights Service Issues in Advance
•
Across Multiple Plants
•
Standard Interface to ArcGIS
Step 3: Telematics •
Using Tracking Server
•
Real-Time Information for Dispatchers and Drivers
Conclusion
“3 Component Solution” Available •
Integrated OR in ArcGIS
•
Trials in Germany and Switzerland
•
Needs additional Forestry Specific Input
•
Needs additional Country/Regional Input
•
Looking for Partners for Geocom/Esri Rollouts
Contact: •
Kees van Loo, Geocom Informatik GmbH ([email protected]
•
Peter Eredic, Esri, Inc. ([email protected])
