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


• 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


Inventory module of the FIS Very central component of whole SLOPE system architecture


Deliverable overviewSpecified in System Architecture Specifications


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


Deliverable – FIS Database


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)


Deliverable – Deployment

• FIS components are hosted on Jelasticcloud 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


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/


https://slopefis.mhgsystems.com/slope-fis/


Contact info

Veli-Matti Plosila [email protected]

Seppo Huurinainen [email protected]

Thank you for your attention

mailto:[email protected]


Anual Review 2/Jul/15

T5.2- Platform for near real time control of operations

Introduction

TASK 5.2System 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.



Introduction

Work Package Number 5 Start date M8Work Package Title Forest information system developmentActivity Type RTDParticipant Name(only contributing partners) TreeMetrics

Person-monthsused 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 projectThe 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/15 Review 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

SLOPEField App

TM DBManual

measurement

Field Terminal

SD card

Bluetooth

Internet

Field Site Treemetrics Service Centre

Update Slope DB SLOPE

DB

SLOPEService Centre

Treemetrics Intranet

TMProcess Control

Forest Information System

Office Site •Information display•Reports•Updates

Update API

Review 20/Jan/15



SLOPE

MHG

TMSYNC 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

CUTTAGGED

TAGGEDCUT

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



Create new timber storage



Timber tracking: Create order for timber transportation



Timber tracking: View/update order for timber transportation









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 Meeting20/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


Project SLOPE


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


• Status: 60%• Length: 20 Months (From M9 to M28)• Involved Partners

• Leader: MHG• Participants: GRAPHITECH, CNR, TRE, ITENE

• Aim: - Design, develop and implement an onlinepurchasing/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)


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)


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 platformso 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


http://www.metsaan.fi/

http://www.puumarkkinat.fi/

http://www.metsaverkko.fi/

http://www.woodlandmanager.com/

Screenshots from WM


Screenshots from WM


Screenshots from WM


Screenshots from WM


Screenshots from WM


Screenshots from WM


Screenshots from WM


Screenshots from WM


Bidding system (MHG, TRE)


• Topic: Bidding system for typical ascending bids. The owners can select price/deadline for the online auction

Market analysis (Austria, BOKU)


• 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 everyregion in Austria. The prices are available online.

• As an example here are the links forStyria: https://stmk.lko.at/?+Holzpreise-

Steiermark+&id=2500,1738557Upper Austria: https://ooe.lko.at/?+Holz+&id=2500,,1298094Lower Austria: https://noe.lko.at/?+NOE-Holzmarkt+&id=2500,2105302Carinthia: https://ktn.lko.at/?+Holz+&id=2500,,1298238Tyrol has also an online-tool: https://www.tirol.gv.at/umwelt/wald/wirtschaft/holzmarkt/

https://stmk.lko.at/?+Holzpreise-Steiermark+&id=2500,1738557

https://ooe.lko.at/?+Holz+&id=2500,,1298094

https://noe.lko.at/?+NOE-Holzmarkt+&id=2500,2105302

https://ktn.lko.at/?+Holz+&id=2500,,1298238

https://www.tirol.gv.at/umwelt/wald/wirtschaft/holzmarkt/

Market analysis (Italy, CNR)


• Topic: Market analysis; the seller can check the latest market prices for stand and forest road side prices

• In Trento/Alto Adige Italy; Commercial ChamberProvince of Bolzen is responsible for updating pricesmonthly 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)


• 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

[email protected]

Thank you for your attention.



Forest Information System Development


T.5.4 – Short-term optimization: operational, ongoing and contingency planning


Kühmaier Martin, Pichler Gerhard, Kastner Maximilian Institute of Forest EngineeringUniversity of Natural Resources and Life Sciences, Vienna



1. Overview

2. Introduction

3. Daily planning of harvesting operations

4. Optimization of logistics

5. Contingency plans

Overview


• Status: ongoing (50%)• Length: 20 Months (From M8 to M27)• Involved Partners

• 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 foroperational, 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)


Optimization of a short-term harvest schedule (MHG)


• 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)


Stampfer, 2015

Demand Assortment

Silviculturaltreatment

HarvestingSystemLogistic

Productivity

Daily Planning


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


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 plancutting 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 trailsorder, which

forest location and mill, period

of time, quantity, access-

bill millgrading 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


Daily planning for harvesting operations (BOKU) –

Example of a BPM for current situation in Austria


starts

Machine operator decidesabout trees to be cut basedon 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


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

orderyes

yes

Placing chipping

order

Enough material to

place transport

order?

Truck has to wait

Truckarrives

Loading

Tower yarder or chipper has to wait

Too lateToo early

In time

Transport

Unloading


ends

Daily planning for harvesting operations (BOKU)


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)


𝑝𝑝𝑝𝑝𝑝𝑝𝑝𝑝𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦𝑦 = 𝑘𝑘 ∗ (−22,7713 + 41,8961 ∗ 𝑡𝑡𝑝𝑝𝑡𝑡𝑡𝑡𝑡𝑡𝑝𝑝𝑡𝑡0,15 − 0,0046 ∗ 𝑝𝑝𝑑𝑑𝑑𝑑𝑡𝑡 − 0,0897 ∗ 𝑑𝑑𝑡𝑡𝑝𝑝𝑝𝑝𝑡𝑡)

• 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)


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 coordinationlogistic

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


• 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


Contact info

Martin Kühmaier: [email protected]

Thank you for your attention



References

Kick-off Meeting 8-9/jan/2014

Picture sourcesLast 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


T.5.5 – Mid-long term optimization, strategic and tactical planning


Huurinainen Seppo, Rasinmäki Jussi, Saramäki Teemu and Plosila Veli-Matti MHG Systems Oy



1. Overview

2. Introduction

3. Iptim software as a Tool

4. Tasks to be completed

Overview


• Status: 30%• Length: 20 Months (From M8 to M27)• Involved Partners

• 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 theforest 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 a TOOL


User can see the possible actions broken down as tasks

www.iptim.com

http://www.iptim.com/

Work with projects


‣ 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


‣ 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


‣ 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


‣ 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


Roadmap: direct import from GIS formats, editing, printing

Exploring you dataset


‣ 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


‣ 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


‣ 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


‣ 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


‣ 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


‣ 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


‣ 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


‣ 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 toproduce 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).


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


Produce harvesting and sales plans that are realistic and

achievable (BOKU)


• 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)


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 toproduce 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)


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


Data Integration

JSON Data

SLOPE FISWeb Service

SLOPE FIS Database

IPTIM

Woodlandmanager

• Extend SLOPE FIS Web Service when needed

Results


• 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

Contact info

Seppo Huurinainen

[email protected]

Thank you for your attention.



Education

3rd Technical Meeting - WP5