3rd Technical Meeting - WP5

Project SLOPE
WP 5 – Forest information system
development

Project SLOPE
• WP5 - D5.01 Inventory module of the
FIS (Prototype)
Cork, 20th January, 2016
Technical Meeting
20/Jan/16

Overview
Technical Meeting
20/Jan/16
• Status: Completed (100%)
• Length: 10 Months (From M08 to M17)
• Involved Partners
• Leader: MHG
• Participants: GRAPHITECH, CNR, COAST, FLY, TRE, ITENE
• Aim: Design and implement database and web service interfaces
to support inventory and spatial data

Deliverable
• Database to support inventory and spatial data
• Web Service module to provide interfaces to the database
• Deployment platform for the database and the web service
module
• Technical description about the implementation
• SLOPE developer guide
Technical Meeting
20/Jan/16

Inventory module of the FIS
Very central component of whole SLOPE system architecture
Technical Meeting
20/Jan/16

Deliverable overview
Specified in System Architecture Specifications
Technical Meeting
20/Jan/16

Deliverable – FIS Database
• Implemented on MySQL database engine
• MySQL Spatial Extensions for storing spatial data
• Database includes four logical sections:
• User management
• Real estate management
• Tree and product management
• Storage and logistics
• Integration of the logistic model by ITENE
Technical Meeting
20/Jan/16

Deliverable – FIS Database
Technical Meeting
20/Jan/16

Deliverable –Web Service
• Light weight Web Service -module to read and write data from FIS database
• Implemented with Java, easy to extend
• Standard REST interface with XML and JSON support
• Source code of this module is hosted on BitBucket Git repository
• Secured with Basic authentication and Secure Socket Layer (HTTPS)
Technical Meeting
20/Jan/16

Deliverable – Deployment
• FIS components are hosted on Jelastic
cloud platform (Platform as a Service)
• Platform is hosted in Helsinki, Finland
• Own independent environment for
SLOPE FIS
• Apache Tomcat, Java 8, and MySQL 5.7
• Jelastic works well on mission critical
and high availability cloud services
• Scales horizontally and vertically for
our performance needs
• Domain: slopefis.mhgsystems.com
• Performance upgrade, NGINX load
balancer
Technical Meeting
20/Jan/16

Summary
• The deliverable was finished on time
• This prototype gives us very good base for SLOPE platform development
and integration work
• The prototype will be/already been developed further during the project
• New interfaces
• Database extensions
• New requirements from WP6 and WP5
• Many changes has been already implemented
• Performance upgrade done on December 2015
• Deliverable report can be found from project’s Dropbox
• Web Service is published on https://slopefis.mhgsystems.com/slope-fis/
Technical Meeting
20/Jan/16

Technical Meeting
20/Jan/16
Contact info
Veli-Matti Plosila veli-matti.plosila@mhgsystems.com
Seppo Huurinainen seppo.huurinainen@mhgsystems.com
Thank you for your attention

Anual Review 2/Jul/15
T5.2- Platform for near real time control of operations
Introduction
TASK 5.2
System for near real time control of operations (MHG) achieved by the
implementation of a series of different interfaces to access the FIS and allow a
number of different operations.

Anual Review
2/Jul/15
Introduction
Work Package Number 5 Start date M8
Work Package Title Forest information system development
Activity Type RTD
Participant Name
(only contributing partners)
TreeMetrics
Person-months
used
7,1
p-m total planned in DoW 12,00
7.1 person-months have been used in this workplace since the start of the project
The participation of Treemetrics in this work package is not yet completed.
Currently working in D.5.2 Real time supply chain control module of the FIS.
Deliverable is in an advanced status of completion. It needs to be updated with the new changes, amend some sections and
reviewed by the partners.
This deliverable was due by the M22, however this deliverable is intimately linked to the activity that is currently carrying out in
T.5.2. Therefore, the deliverable needs to be updated with the achievements from T.5.2 that is currently on going.
Currently there is an offset between the time and the effort spent in T.5.2 for Treemetrics. This is due that, the first stage of
the T.5.2 required less effort that the second phase.
A delay in the D.5.2 is due that this deliverable is intimately linked to the activity that is currently carrying out in T.5.2.

Review 20/Jan/15Review 20/Jan/15
Harvesting process

Introduction
MHG
3. PROCESSING HEAD SOFTWARE (CNR)
-Real timber products data
- Timber products summary
- Quality indexes
4. HARVESTING
MONITORING - TRE
- Field app
- Real time tree show
- Harvesting report
1. FIS (GRA)
-Display single trees and attributes
-Select points to set the cable line
-Display cutting simulation results
-Select single trees to be harvested
-Display harvesting status
GPS COM
2. – LOGISTIC AND SUPPLY CHAIN
(MHG/ITENE)
- Storage areas
- Transport tacking

Task status

Planning information
Recording of single tree information

Database modifications
Harvesting Monitoring (trees)

Review 20/Jan/15
AutoStemTM
TLS
Cutting simulator
SLOPE
Field App
TM DB
Manual
measurement
Field
Terminal
SD card
Bluetooth
Internet
Field Site Treemetrics
Service Centre
Update
Slope DB SLOPE
DB
SLOPE
Service
Centre
Treemetrics Intranet
TM
Process
Control
Forest
Information
System
Office Site
•Information
display
•Reports
•Updates
Update
API

Review 20/Jan/15
SLOPE
MHG
TM
SYNC
MODULE

3D trees visualization Single tree selection for harvesting

Field Application (TM) -harvesting plan-:
•2D terrain image (UAV available offline)
• Single tree view showing the selected trees to be harvester
(Access to planning information from Graphitec)
• RFID tagging for trees to be cut
• Add additional trees from field at the marking stage (DBH
and height required)
• Trees will be marked with different colours: Selected (to cut),
Tagged (with RFID) and others.
Issues and limitations:
- General issue to find trees in field (e.g. no GPS signal).
-Single issue to find the tree in field (unmark as a tree to be
harvest)
- Mark trees not previously selected but detected in the EO.
- Mark trees that are not detected by EO.
TAGGED
TAGGED
TAGGED
SELECTED
SELECTED

Review 20/Jan/15
Cutting monitoring (TM app):
• Single tree view showing the position on the map of all
harvested trees.
• Change tree status
Issues and limitations:
-The trees cut have not been previously selected
- Solution: View and change status of trees not
selected for cutting
-The trees cut are not in the DB
- Solution: Add new trees to be cut
CUT
TAGGED
TAGGED
CUT
TAGGED

Review 20/Jan/15
Processing monitoring (WP 3, WP4):
• Log information (volume, size, etc)
• Quality index
Display in Web app
-Tree level information(Real volume, status, value, etc)
-Log information (summary and statistics)

Review 20/Jan/15
3. PROCESSING HEAD SOFTWARE (CNR)
-Real timber products data
- Timber products summary
- Quality indexes

Real Time integration

Create new timber storage

Timber tracking: Create order for timber transportation

Timber tracking: View/update order for timber transportation

Anual Review 2/Jul/15
Introduction

Task status
• Forest Information System (GRA)
• Cable set up (completed)
• 3D trees visualization (completed)
• Single tree selection for harvesting
• Display of harvesting status (tree removed, timber products, etc)
•Field APP (TM)
• Recording of single tree information (completed)
• Recording of single tree quality information (completed)
• RFID tagged trees tracking (completed)
• View, add and remove trees to be harvest (completed)
• UAV imagery display (completed)
• Select Anchor &support trees (completed)
• Double RFID tree during harvesting -M28-
• Display trees selected (improved filter and colour code) -M28-
• Backend for update and communication (linked to WP6)

Review 20/Jan/15
Task status
•Field Logistic APP (TM)
• Develop timber storage mobile app.
• Develop transport orders mobile app.
• Backend for update and communication (linked to WP6)
•Database to support harvesting and inventory data (TM & MHG)
• Review of the SLOPE database and implementation of changes
(completed in M24)
• Database near-real time synchronization
• Design and implement solution of the issue with simultaneous editing

WP5. Forest information system
development
•Task 5.1 Database to support novel inventory data content – MHG
• Partners: GRAPHITECH, CNR, COAST, FLY, TRE, ITENE
• M08-M17
• Deliverable D.5.01: Inventory module of the FIS
• Lead participant: MHG
• Due date: 31.05.2015
• Task 5.2 Platform for near real time control of operations–TRE
• Partners: GRAPHITECH, CNR, MHG, TRE, ITENE
• M11-M22
• Deliverable D.5.02: Real-time supply chain module of the FIS
• Due date: 31.10.2015; to be submitted
• Task 5.3 Online purchasing/invoicing of industrial timber and biomass – MHG
• Partners: GRAPHITECH, CNR, TRE, ITENE
• Deliverable D.5.03: Platform for purchasing/invoicing
• Due date: 30.04.2016
Technical Meeting
20/Jan/16

WP5. Forest information system
development
Kick-off Meeting 8-9/jan/2014
•Task 5.4 Short-term optimization, operational, ongoing and contingency planning
– BOKU
• Partners: GRAPHITECH, CNR, TRE, ITENE
• M08-M27
• Deliverable D.5.04: Short-term optimization module of the FIS
• Due date: 31.03.2016
• Task 5.5 Mid-long term optimization, strategic and tactical planning – MHG
• Partners: GRAPHITECH, CNR, FLY, TRE, ITENE
• M08-M27
• Deliverable D.5.05: Mid/Long-term optimization module of the FIS
• Due date: 31.03.2016
Technical Meeting
20/Jan/16

Project SLOPE
Technical Meeting
20/Jan/16
T.5.3 – Online purchasing/invoicing of
industrial timber and biomass
Cork, January 20th, 2016
Huurinainen Seppo, Järvinen Tomi, Kaihola Mika and Plosila Veli-Matti
MHG Systems Oy

Contents of the presentation
Technical Meeting, Cork
20.01.2016
1. Overview
2. Introduction
3. Activities completed

Overview
Technical Meeting
20/Jan/16
• Status: 60%
• Leader: MHG
• Participants: GRAPHITECH, CNR, TRE, ITENE
• Aim: - Design, develop and implement an online
purchasing/invoicing platform for industrial timber
and biomass as a part of FIS
• Output: D.5.03 (M28)
- Platform for purchasing/invoicing

Introduction 1/2
This FIS module should include following parts:
• Identification of material ownership, location, quality (commercial class),
quantity (volume,weight) and condition (e.g. moisture of biomass)(MHG,
CNR, TRE)
• Negotiation platform; forest owners and buyers can negotiate deals, put
the price tag on and give appropriate contracts or work orders (MHG,
ITENE)
• Bidding system for typical ascending bids. The owners can select
price/deadline for the online auction (MHG, TRE)
• Market analysis; the seller can check the latest market prices for stand
and forest road side prices (TRE, CNR)
Technical Meeting
20/Jan/16

Introduction 2/2
• Pre-selling procedures; the buyer will be able to visit the Forest
Warehouse software to evaluate the potential log production and value
of the given forest (stumpage price). The seller can offer the forest for
sale as a standing deal too (TRE, Graphitec)
• Group selling; multiple forest owners can put their forest stands or road
side storages for sale as one bid in order to get higher price (MHG)
Technical Meeting
20/Jan/16

Activities completed – TOP eServices in Finnish Forestry
1/2
• Metsaan.fi Service; accurate forest management plans for purchasers and
contractors (covers 70 % of Finland, 100% by 2020)
• Free of charge for producers
• Purchasers and contractors have to pay
• Metsäverkko; metsaverkko.fi; MetsäGroup´s web and mobile service for
members, includes accurate forest management plans, earning possibilities, and
silvicultural needs
• Free of charge for active members
• e-signing of agreements 2015
• UPM+Stora; Metsäverkko like services, mobile interface missing
• Free of charge for forest owners selling timber to them in regular basis
• Puumarkkinat.fi Service; timber trade bulletin board, forest management
associations offering harvesting sites to purchasers (forest owners not actively
involved)
• basic fee 100-500 € per year + user fee 0-50 € per year
• A new company – Puukauppa Oy - established recently to offer and run e-
tools for online timber & biomass sales and purchase
•
Trento 2015

Activities completed 2/2
• Benchmarking globally timber&biomass trading solutions (thesis work of
Esa Hiiva)
• Questionaries/web pols about functionalities, interfaces etc. by support
of partners in Italy, Austria and Spain (thesis work of Esa Hiiva)
• Special focus on Finnish solutions (www.metsaan.fi,
www.puumarkkinat.fi, www.metsaverkko.fi); thesis work of Mika Kaihola
• Outcome:
• Useful information for www.woodlandmanager.com (WM) development
(not that much for SLOPE due to small number of answers:
o WM brings forest management plans into pocket on all mobile platforms
o Works as e-contracting bidding platform between forest owners and
forest contract service providers
• Branch of WM will be implemented as online purchasing/sales solution
for SLOPE FIS
Technical Meeting
20/Jan/16

Screenshots fromWM
Technical Meeting
20/Jan/16

Bidding system (MHG,TRE)
Technical Meeting
20/Jan/16
• Topic: Bidding system for typical ascending bids. The
owners can select price/deadline for the online auction

Market analysis (Austria, BOKU)
Technical Meeting
20/Jan/16
• Topic: Market analysis; the seller can check the latest
market prices for stand and forest road side prices
• In Austria; The Austrian Chamber of Agriculture is
responsible for updating prices monthly for every
region in Austria. The prices are available online.
• As an example here are the links for
Styria: https://stmk.lko.at/?+Holzpreise-
Steiermark+&id=2500,1738557
Upper Austria: https://ooe.lko.at/?+Holz+&id=2500,,1298094
Lower Austria: https://noe.lko.at/?+NOE-
Holzmarkt+&id=2500,2105302
Carinthia: https://ktn.lko.at/?+Holz+&id=2500,,1298238
Tyrol has also an online-tool:
https://www.tirol.gv.at/umwelt/wald/wirtschaft/holzmarkt/

Market analysis (Italy, CNR)
Technical Meeting
20/Jan/16
• Topic: Market analysis; the seller can check the latest
market prices for stand and forest road side prices
• In Trento/Alto Adige Italy; Commercial Chamber
Province of Bolzen is responsible for updating prices
monthly for every region in Italy .
• The prices are available online;
• European standards for quality classes (A, B, C)
• Official prices online link;
- http://www.camcom.bz.it/it/servizi/ire-%E2%80%93-
ricerca-economica/dati-economici/listini-prezzi/listino-dei-
prezzi-allingrosso

Negotiation platform (MHG, ITENE)
Technical Meeting
20/Jan/16
• Topic: Negotiation platform; forest owners and buyers
can negotiate deals, put the price tag on and give
appropriate contracts or work orders
• Including group sales

Contact info
Seppo Huurinainen
Seppo.huurinainen@mhgsystems.com
Thank you for your attention.
Technical Meeting
20/Jan/16

Forest Information System Development
Technical Meeting
20/Jan/16
T.5.4 – Short-term optimization: operational,
ongoing and contingency planning
Kühmaier Martin, Pichler Gerhard, Kastner Maximilian
Institute of Forest Engineering
University of Natural Resources and Life Sciences, Vienna

20.01.2016
1. Overview
2. Introduction
3. Daily planning of harvesting operations
4. Optimization of logistics
5. Contingency plans

Overview
Technical Meeting
20/Jan/16
• Status: ongoing (50%)
• Leader: BOKU
• Participants: CNR, ITENE, MHG, TRE
• Aim: - Daily planning for timber harvesting
- Optimization in the supply chain management
- Risk management during emergency
- Guidelines for short term planning optimization
• Output: D.5.04 (M27)
Short-term optimization module of the FIS

Introduction
• The aim of task 4.4 was to develop a tool for short-term optimization for
operational, ongoing and contingency planning
The FIS module should include following parts:
• Optimization of a short-term harvest schedule (MHG)
• Daily planning for harvesting operations (BOKU)
• Logistics Optimization concerning the product flow (ITENE, MHG)
• Support for ongoing management activities(TRE)
• Modeling of contingency plans including risk management (BOKU, MHG)
Development of guidelines and indications for short-term optimization for the
daily planning (CNR, BOKU)
Technical Meeting
20/Jan/16

Optimization of a short-term harvest schedule (MHG)
Technical Meeting
20/Jan/16
• Optimization of the short-term harvest schedule based on the
market demand
• Selection of stands to be harvested
• Identification of consumers to be delivered
• Identification of roads to use
• Estimation of time consumption, number of trucks and
workforce
• MHG will check what is already available in IPTIM in which data
format
• Update of data and additional data collection is necessary

Daily planning for harvesting operations (BOKU)
Technical Meeting
20/Jan/16
Stampfer, 2015
Demand
Assortment
Silvicultural
treatment
Harvesting
System
Logistic
Productivity
Daily Planning

Technical Meeting
20/Jan/16
Processes and stakeholders involved in harvesting operations
Operations
Supervisor
Forest
Owner
Customer Harvesting
Company
Freight
Company
decision about harvesting
operation
choosing forest stand
estimation of
harvest yield
for
calculations
searching for customer, harvesting company and freight company
planning
harvesting
operation and
transport
harvesting
operation
transportation
take over at
the mill
evaluation of
quality and
quantity
partial paiment of harvesting
company
payment of forest owner, final payment of harvesting company, payment of
freight company
supervision
supervision
decision about
harvesting operation
searching for
customer
contract notes
customer, harvesting
company and freight
company
planning harvesting
operation and
transport
harvesting operation
transportation
take over at the mill
choosing forest
stand
estimation of
harvest yield for
calculations
searching for freight
company
searching for
harvesting company
payment 30 days after
service provision; harvesting
c. is payed by the forest
owner, freight c. is payed by
the forest owner or by the
customer
economic necessity, decision
based on forest management plan
cutting maturity, composition of
tree species, age class, yield class,
volume, stand density, quality
forest management plan
(based on inventory data),
experienced estimation
tree species; approximate
quantity, quality and price
approximate quantity;
mill to supply
harvesting and fright company:
contract with companies,
services, period of time, price
(€/m3
), time limits, terms of
payment, provision in the event
of non-compliance
customer: contract involved
companies, tree species,
quality, quantity, assortments,
price (€/m3
), period of time,
terms of payment, provision in
the event of non-compliance
compositon of tree species, age class,
approximate volume, terrain
conditions, harvesting method,
harvesting period, approximate price
area, sea level, weather
conditions, tree species, middle
diameter at breast height,
approximate volume, surface,
inclination, harvesting method
tree selection by expert or forest
worker, selection of skid trails
order, which
forest location
and mill, period
of time,
quantity, access-
bill mill
grading data
dimension data,
dimension bill from
the mill within 30
days to the
employer, payment
within another 30
days
access-bill from
customer, contact
between transport c. and
forest owner

Technical Meeting
20/Jan/16
Daily planning for harvesting operations (BOKU) –
Example of a BPM for current situation in Austria
harvesting
operation
starts
Machine operator decides
about trees to becut based
on instructions and intuition
Marking trees and
cable corridor with
spray
Installation
of supporting
trees
Installation
tower yarder
system
no
Decision about
trees to be cut?
Intermediate
supports are
necessary?
yes
Terrain
characteristics, cable
yarding system
Forester
Extracting
the trees
Debranching,
topping and
crosscutting
by processor
Felling the
trees with
chain saw

Technical Meeting
20/Jan/16
Daily planning for harvesting operations (BOKU) -
Example of a BPM for current situation in Austria
Assortments to
be produced?
Storing saw
logs at the
road side
Storing
industrial
logs at the
road side
Storing
harvesting
residues at
the road side
Price, quality, quantity,
demand and supply
Utilization as fuel
wood?
Biomass
remains in
the forest
no
no no
Storage capacity, driving
and loading duration, load
capacity yes
Placing
transport
order
yes
yes
Placing
chipping
order
Enough
material to
place
transport
order?
Truck has to
wait
Truck
arrives
Loading
Tower yarder
or chipper
has to wait
Too lateToo early
In time
Transport
Unloading
harvesting
operation
ends

Daily planning for harvesting operations (BOKU)
Technical Meeting
20/Jan/16
Deployment of new cable lines
• Technical restrictions
• Installation and transfer
• Topographie
• Nutrient level
• Cable line layout
• Type of harvesting operation
• Available employee
Huber & Loschek, 2014

Logistics Optimization concerning the product
flow (ITENE, MHG)
Technical Meeting
20/Jan/16
𝑝𝑝𝑝𝑝𝑝𝑝𝑝𝑝𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦 = 𝑘𝑘 ∗ (−22,7713 + 41,8961 ∗ 𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡0,15
− 0,0046 ∗ 𝑑𝑑𝑑𝑑𝑑𝑑𝑑𝑑 − 0,0897 ∗ 𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠)
• Models and information developed in tasks 2.5 and 5.3 will be
used to improve logistics and product flows
• Optimization of logistics for the product flow with just-in-time
approach, focusing in reducing storage and buffers and
delivering the required products when they are needed
• Productivity models will be used to estimate the time
consumption of all the harvesting and transport processes to
coordinate those processes
• BOKU will provide a list with all the information (data) which is
limiting or influencing harvesting and transport operations.

Modeling of contingency plans including risk management
(BOKU, MHG)
Technical Meeting
20/Jan/16
Unexpected events during harvesting operations and avoiding them:
Unexpected events Avoidance
Cable yarder must wait until tree is felled Better coordination of workflows, training, work
experience, shift of workforce
Forest worker must wait for carriage Better coordination of workflows, training, work
experience
Processor operator must wait for carriage Better coordination of workflows, training, work
experience
Transport-Truck is not available (too much orders and as a result
no free capacities…)
Better coordinationlogistic
Not enough storage capacity for assortments (waiting times for
cable yarder)
Synchronizing transportation with cable yarder
productivity model, determining maximum
storage capacity, determining driving and
loading duration as well as maximum load
capacity truck better logistic
Not enough logs for full load of the transport truck (waiting
times for truck)
See above

Results
Technical Meeting
20/Jan/16
• List of indicators which are influencing harvesting and transport
• Slope, tree volume, extraction distance, transport distance,
road class, load capacity of truck, etc.
• Models for short-term (daily) harvesting planning
• Process models
• Models for estimating effort, costs and impacts on
environment
• Guidelines to optimize planning
• Coordination of processes and machines
• Contingency plans

Technical Meeting
20/Jan/16
Contact info
Martin Kühmaier: martin.kuehmaier@boku.ac.at
Thank you for your attention

Technical Meeting
20/Jan/16
References

Kick-off Meeting
8-9/jan/2014
Picture sources
Last downloaded on 05.01.2016:
• http://www.woodbusiness.ca/images/heads-arbro.jpg
• http://www.greifenberg.it/carrellipescanti/crg15s/gallery_2.jpg
• http://www.greifenberg.it/teleferiche/siberian/gallery_6.jpg
• http://www.riebli-forst.ch/bilder/maschinen/holz-lkw04_b.jpg

Project SLOPE
Technical Meeting
20/Jan/16
T.5.5 – Mid-long term optimization, strategic
and tactical planning
Huurinainen Seppo, Rasinmäki Jussi, Saramäki Teemu and Plosila Veli-Matti
MHG Systems Oy

20.01.2016
1. Overview
2. Introduction
3. Iptim software as a Tool
4. Tasks to be completed

Overview
Technical Meeting
20/Jan/16
• Status: 30%
• Leader: MHG
• Participants: GRAPHITECH, CNR, TRE, ITENE
Aim: In the task a module will be developed for the FIS that will
support the planning task of optimally allocating harvests to the
forest area in 1-10 years timeframe to meet the targets for
harvested volume
Output: D.5.05 (M28)
- Mid/Long-term optimization module of the FIS

IPTIM as aTOOL
Technical Meeting
20/Jan/16
User can see the
possible actions
broken down as tasks
www.iptim.com

Work with projects
Technical Meeting
20/Jan/16
‣ Timberland assets divided in projects, which are localized in
units and have multilingual support
‣ Users have different roles in projects; allowed to perform
different tasks

Tasks for a project
Technical Meeting
20/Jan/16
‣ Three main categories
‣ Data: inventory data management, inventory computations
‣ Model: growth & yield modeling with the inventory data,
taper curve modeling for three species, management regime
definitions with price trends
‣ Plan (across projects): optimal strategic and tactical plans;
harvest scheduling based on inventory data, G&Y models, and
management regimes

Project data model
Technical Meeting
20/Jan/16
‣ Support for stand registers and sample plot based inventories
‣ Users can add grouping attributes at the stand level, effectively
building a reporting hierarchy for the data
Each project can have
its own data model

Excel like data input experience
Technical Meeting
20/Jan/16
‣ With the added benefit of immediate validation for entered
values, including user defined cross validation rules between
different attributes
Roadmap: Direct
import from Excel files

Maps included
Technical Meeting
20/Jan/16
Roadmap: direct
import from GIS
formats, editing,
printing

Exploring you dataset
Technical Meeting
20/Jan/16
‣ Summaries of the inventory data; min-max, mean, standard
deviation of numerical attributes grouped by categorical
attributes
‣ Relationships of numerical attributes, like diameter versus
height, filtered by other attributes
Outlier analysis,
relationships in data

Modeling – growth & yield
Technical Meeting
20/Jan/16
‣ A set of model systems for both yield prediction at stand level
and growth predictions at tree level available
‣ Inventory data used to calibrate the model systems

Modeling – management regimes
Technical Meeting
20/Jan/16
‣ Several regimes can be defined for a single project for scenario
generation and comparison in the planning phase
‣ A regime is a set of operations, each having timing, operation
specific parameters, and resource utilization

Modeling – regimes & price trends
Technical Meeting
20/Jan/16
‣ Regimes can have different price trends both for costs and
timber assortment prices, even if they would be identical with
respect to operation timing and parameters,
‣ Basis for sensitivity analysis with regards to management action
timing and price development
Roadmap: scenarios with
stochastic catastrophic
events, like fire

Modeling – taper curves
Technical Meeting
20/Jan/16
‣ Taper curve modeling for individual tree stem volume can be
utilized with model systems using diameter distribution models
‣ Taper curve models allow for optimal bucking simulation as part
of planning; this coupled with price trend definitions allows for
product mix scenario generation
‣ Based on a modeling technique requiring a minimal number of
taper curve sample trees per tree species
‣ These can be shared between projects and geographic
regions

Planning
Technical Meeting
20/Jan/16
‣ A plan can span several projects having different data and G&Y
models
‣ For each project in the plan a regime and prices to use are set,
as well how much deviation from the regime is allowed
‣ No deviation: fixed scenario given the regime
‣ Deviation: optimal plan based on objective and regime

Planning – goal and restrictions
Technical Meeting
20/Jan/16
‣ The plan will create a harvest schedule; the solution of a LP
problem with a goal and possibly a set of constraints.
‣ Constraints can be for resources available and for the tree stock
attributes over time

Planning – analysis
Technical Meeting
20/Jan/16
‣ Comparison of financial indicators and timber flow of different
plan solutions with the goal of selecting the plan to put into
operation
‣ Plan comparison based on charts, summary tables and theme
maps
Roadmap: Integration with
a field work management
system

Introduction 1/2
• produce harvesting and sales plans that are realistic and achievable. This is done
by supporting easy updating of growth models to track developments in the research
in the area, and by simulating at stand level different alternatives for the type,
intensity and timing of the management actions that are all viable options for the
management of the stand considering the operational constraint in the mountain
forests (BOKU).
• produce harvesting and sales plans that are optimal within the parameters set by
the previous item. Goals can be set to minimize harvesting cost or maximize the net
present value of the cash flow generated over the planning horizon; the optimization
process will include spatial and temporal clustering functionality, in order to
produce optimal starting point for short-term operational planning; i.e. in order to
make utilization of harvesting machinery and workforce as efficient as possible (Task
5.4) these aspects are already taken into account when producing long-term harvest
scheduling plans (TRE, CNR).
Technical Meeting
20/Jan/16

Introduction 1/2
• support for monitoring the quality of management plans, based on the accumulated
historical time series, by maintaining a data repository over time of the information
gathered with sensors during the inventory and harvest operations (GRAPHITECH, FLY,
TRE)
- WM
• support the adaptation of the plans, and re-planning, based on the accumulated
supply chain information in the FIS; i.e. for the long-term plans a continuous and
adaptive planning approach will be supported (BOKU, CNR).
- WM
Technical Meeting
20/Jan/16

Produce harvesting and sales plans that are realistic and
achievable (BOKU)
Technical Meeting
20/Jan/16
• Topic: produce harvesting and sales plans that are
realistic and achievable. This is done by supporting
easy updating of growth models to track
developments in the research in the area, and by
simulating at stand level different alternatives for the
type, intensity and timing of the management actions
that are all viable options for the management of the
stand considering the operational constraint in the
mountain forests.
• IPTIM; group of mathematic equations

Produce harvesting and sales plans that are optimal within
parameters (TRE, CNR)
Technical Meeting
20/Jan/16
Topic: produce harvesting and sales plans that are optimal within the
parameters set by the previous item. Goals can be set to minimize
harvesting cost or maximize the net present value of the cash flow
generated over the planning horizon; the optimization process will
include spatial and temporal clustering functionality, in order to
produce optimal starting point for short-term operational planning;
i.e. in order to make utilization of harvesting machinery and
workforce as efficient as possible (Task 5.4) these aspects are already
taken into account when producing long-term harvest scheduling
plans.
- Average prices to be used (Bolzon etc.)

Support the adaptation of the plans, and re-planning
(BOKU, CNR)
Technical Meeting
20/Jan/16
Topic: support the adaptation of the plans, and re-planning, based
on the accumulated supply chain information in the FIS; i.e. for the
long-term plans a continuous and adaptive planning approach will
be supported
-WM + IPTIM

Technical Meeting
20/Jan/16
Data Integration
JSON Data
SLOPE FIS
Web Service
SLOPE FIS Database
IPTIM
Woodlandmanager
• Extend SLOPE FIS Web Service when needed

Results
Technical Meeting
20/Jan/16
• Models for mid-long-term harvesting planning
• Process models
• Indicators for mid-long term planning
• Profits
• Costs
• (Biodiversity – Natura2000, Good FOREST management
recommendations)
• Guidelines to optimize planning
• Contingency plans

3rd Technical Meeting - WP5

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3rd Technical Meeting - WP5