1. WP5: Forest information system development
Task 5.4 – Short-term optimization:
operational, ongoing and contingency
planning
Kühmaier M, Stampfer K
Institute of Forest Engineering, University of Natural Resources and Life Sciences, Vienna
Kick‐off Meeting
8‐9/jan/2014

2. Activities and partners (1)
 Definition of requirements for short‐term
harvesting schedules MHG, BOKU
 Stand and tree selection
 Machine capacities and demand
 Workforce
 Implementing just‐in‐time approach ITENE, MHG
 Delivering products when they are needed
 Reducing storage and buffers
 Avoiding to run out of stock

3. Activities and partners (2)
 Definition of procedures for ongoing management
activities TRE
 Standard operations
 Modifications are possible
 Contingency plans BOKU, MHG
 Definition of risks
 Actions in case of emergency or system failures
 Multicriteria approach CNR, BOKU
 Considering biodiversity and forest integrity

4. Timeline and participants
2014
2015
2016
J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D
Start: June 2015
End: March 2016
D5.04 Short‐term optimization
module of the FIS BOKU
 Duration: 10 months, workload: 14 months
 Task leader: BOKU (2)
 Participants: CNR (3), MHG (3), TRE (3), ITENE
(2), GRAPHITECH (1)
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5. Dependencies between activities
WP2 Forest
information
collection
WP3 Harvesting
systems
T.3.3, T.3.5
T.2.4, T.2.5
T.5.4
T.5.5 Mid‐long term
optimization
WP6 System
Integration
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6. Risks
 Implementation of existing or development of new
model into FIS
 Available information for the daily planning
 Interactive determination of cable corridors is a
challenging task
 Just‐in‐time approach is hard to realize in the
forestry supply chain
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7. Optimization models
Kanzian et al. (2013)
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8. Supply network
Biomass Supply Network
Forest
(P)
Terminal (T)
Shipping
Station (S)
Plant (H)
Kanzian et al. (2013)
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9. Results – Pareto Curve
Increasing profit
Kanzian et al. (2013)
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10. Results – Road transport distance
Volume weighted
transport distance
increases from
45.7 to 48.1 km
Increasing profit
Kanzian et al. (2013)
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11. Terminals and shipping stations
Locations with minimal CO2 emissions
261 Terminals with an average of 650 odt/a
27 Shipping stations with an average of 2000 odt/a
Kanzian et al. (2013)
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12. Sensitivity analysis with profit
Behavior on changing profit of solid delivered fuel
Kanzian et al. (2013)
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