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WP5: Forest information system development
Kick‐off Meeting 8‐9/jan/2014
Task 5.4 – Short-term optimization: operational, ongoing and contingency planning
Kühmaier M, Stampfer KInstitute of Forest Engineering, University of Natural Resources and Life Sciences, Vienna
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
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
Timeline and participants
Duration: 10 months, workload: 14 months
Task leader: BOKU (2)
Participants: CNR (3), MHG (3), TRE (3), ITENE (2), GRAPHITECH (1)
4
2014 2015 2016J 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 optimizationmodule of the FIS BOKU
Dependencies between activities
5
T.5.4
WP2 ForestinformationcollectionT.2.4, T.2.5
WP6 System Integration
WP3 Harvestingsystems
T.3.3, T.3.5
T.5.5 Mid‐long termoptimization
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
6
Optimization models
7Kanzian et al. (2013)
Supply network
8
Biomass Supply Network
Terminal (T)
Plant (H)
Forest (P)
ShippingStation (S)
Kanzian et al. (2013)
Results – Pareto Curve
9
Increasing profit
Kanzian et al. (2013)
Results – Road transport distance
10
Volume weighted transport distance increases from45.7 to 48.1 km
Increasing profitKanzian et al. (2013)
Terminals and shipping stations
11
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)
Sensitivity analysis with profit
12
Behavior on changing profit of solid delivered fuel
Kanzian et al. (2013)
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