Axa Assurance Maroc - Insurer Innovation Award 2024
Slope wp5 task 5.5 by MHG
1. WP5. Forest information system
development
•Task 5.1 Database to support novel inventory data content – MHG
• Partners: GRAPHITECH, CNR, COAST, FLY, TRE, ITENE
• MHG Portal Platform with MHG Biomass Manager and Iptim integration as
a basis
• M08-M17
• Task 5.2 Platform for near real time control of operations–TRE
• Partners: GRAPHITECH, CNR, MHG, TRE, ITENE
• M11-M22
Task’s objective is to develop a system (MHG) for near real time control of
operations that integrates the information about the timber material origin,
quality and quantities being processed along the supply chain in order to optimize
procedures and avoid delay times in operations (i.e. manage transport fleet in
order to avoid saturation of storage areas at the cable crane landing).
This will be achieved by the implementation of a series of different interfaces to
access the FIS and allow a number of different operations
• Note! Utilization of features and scalability of current services like the Forest
Warehouse, MHG Biomass Manager, MHG Mobile and Iptim
Kick-off Meeting
8-9/jan/2014
2. WP5. Forest information system
development
• Task 5.3 Online purchasing/invoicing of industrial timber and biomass – MHG
• Partners: GRAPHITECH, CNR, TRE, ITENE
• M19-M28
• Huge field for development!
• Task 5.4 Short-term optimization–BOKU
• Partners: CNR, MHG, TRE, ITENE
• M18-M27
• Note! Utilization of Iptim´s features and scalability
• Task 5.5 Mid-long term optimization; strategic and tactical planning - MHG
• Partners: GRAPHITECH, FLY, TRE, ITENE
• M18-M27
• Note! Utilization of Iptim´s features and scalability
Kick-off Meeting
8-9/jan/2014
3. T.5.5 – Mid-long term optimization;
strategic and tactical planning
MHG Systems
• Our state of the art
• Simulation and optimisation framework
• Simple user interface for the complex problem
• Beyond state of the art
• Simulations: growth models
• Simulations: management regimes
• Optimisation
Kick-off Meeting
8-9/jan/2014
4. Our state of the art: computation
Long term planning using the SIMO framework for predicting alternative future
states of forest stands using simulation, and using mathematical optimisation to
select the best alternatives based on the objective and constraints for forest
management.
The framework has been validated in Finland where the framework is in
operational use on close to all of the 26 million ha of forest land.
Key features of the framework:
• Adaptable: no fixed data model, type of silviculture or growth models, any of
these can be configured
• Extensible: it has been used from tree plantations in Africa to boreal forest in
Finland
Kick-off Meeting
8-9/jan/2014
5. Our state of the art: UI
Iptim:
• Long term planning Decision Support System built on top of the SIMO
framework
• Design goal: “Excel like user experience for forest planning without sacrificing
the power of describing the complex phenomenon”
The design goal expressed by putting the user in control of:
• The data model for forest inventory data
• The baseline definition of how forests are managed; the management regime
• The growth models on which the simulation is based;
• possibility to create user’s own growth models in situations where
there’s scarce research literature found
• Adopt specific models from research, calibrate with your own data if
necessary
Kick-off Meeting
8-9/jan/2014
9. Beyond state of the art
Growth models:
• Integrate state of the art growth models from research literature for the
demonstration areas (from Task ?.? / ?)
Management regimes:
• Integrate baseline forest management regime for mountain forests (from Task
5.4 / BOKU)
Optimisation:
• Bridging the gap between strategic (long term) and tactical (mid term)
planning
• From tactical to operational
• Risk management
Kick-off Meeting
8-9/jan/2014
10. Typical strategic plan
Long term plans are typically “shot gun” solutions; i.e. there is no spatial aspect
in the solution, the stands to harvest are “all over the place”.
This is especially true for plans for areas bigger than couple of hundred/thousand
hectares.
Kick-off Meeting
8-9/jan/2014
11. A feasible tactical plan
That kind of plan is not ready for operation as such, yearly replanning needed to
have something realistic to execute for that year. Currently lack of tools at this
level.
Let’s introduce the spatial constraints already at the strategic phase
=> guarantee that our long term plan really is feasible
=> shorten the planning cycle & gain visibility for resource and infrastructure
demand
Kick-off Meeting
8-9/jan/2014
12. From tactical to operational
“Gain visibility for resource and infrastructure demand” taken one step further:
introduce infrastructure, machine and workforce capacity as parameters in the
planning problem
• Identify production bottlenecks prior to running into them in operations
• Plan harvesting, infrastructure investments and capacity investments
concurrently
Same framework spans from strategic to operational planning; possibility to use
subsets of the functionality for optimising operational plans (workforce and
machine capacity utilisation including logistics)
Kick-off Meeting
8-9/jan/2014
13. A note about contingency planning
Introducing uncertainty analysis and risk management already at the planning
level.
• Monte Carlo simulation for introducing the effects of uncertainty of different
components in the plan at the simulation stage
• Robust optimisation for introducing the uncertainties at the optimisation
stage
=> Tools for the planner to take their position on risk already at the long term
planning stage
Kick-off Meeting
8-9/jan/2014
14. Timeline and deliverables
August 2014
January 2015
January 2016
WP5. Forest information system development
M08
M09
M10
M11
M12
M13
M14
M15
M16
T.5.1. Database to support novel inventory data content
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
M17
X
M18
M19
M20
M21 M22
M23
M24
M25
x
x
x
x
x
x
x
x
x
x
x
x
x
M26
M27
M28
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
D5.01 Inventory module for the FIS: MHG
x
T.5.2. Database to support novel inventory data content
x
D5.02 Real-time supply chain control module of the FIS: TRE
x
T.5.3. Online purchasing/invoicing of timber and biomass
D5.03 Platform for purchasing/invoicing: MHG
T.5.4. Short-term optimization: operational planning
D5.04 Short-term optimization module of the FIS: BOKU
T.5.5.Mid-long-term optimization: strategic and tactical
D5.05 Mid-long-term optimization module of the FIS: MHG
Annual meeting
Project meeting
Skype
Kick-off Meeting
8-9/jan/2014
15. Communication and risk control
• Timeframe months: M08-M28
• Strict schedule, real-time information sharing needed
• Communication
• Skype in 2-3 weeks & physical meetings every two months
• Communication platform
• Immediate access to current services for key persons in
order to innovate; MHG Biomass Manager, MHG Mobile
Iptim, Forest Warehouse etc.
• Person in charge
• ITENE:
• GRAPHITECH
• CNR:
• COAST:
• BOKU:
• FLY:
• TRE:
Kick-off Meeting
8-9/jan/2014
16. Communication and risk control
• Timeframe months: M08-M28
• Strict schedule, real-time information sharing needed
• Communication
• Skype in 2-3 weeks & physical meetings every two months
• Communication platform
• Immediate access to current services for key persons in
order to innovate; MHG Biomass Manager, MHG Mobile
Iptim, Forest Warehouse etc.
• Person in charge
• ITENE:
• GRAPHITECH
• CNR:
• COAST:
• BOKU:
• FLY:
• TRE:
Kick-off Meeting
8-9/jan/2014
