Difference between revisions of "SADPOF"

Revision as of 15:59, 27 June 2012

Template:DSS description, Wiki quality control Template:DSS description, Name, responsible organisation and contact person Template:DSS description, Scope of the tool Template:DSS description, Concrete application Template:DSS description, Installation and support Template:DSS description, Data, data model and data management Template:DSS description, Models and methods, MBMS, decision support techniques Template:DSS description, Support of knowledge management process Template:DSS description, Support of social participation Template:DSS description, User interface and outputs Template:DSS description, System design and development Template:DSS description, Technological architecture, integration with other systems Template:DSS description, Ongoing development Template:DSS description, Documentation

Scope of the system

SADPOF allows forest practitioners to simulate alternative FOP scenarios and computer economical and ecological scenario evaluation indicators for further scenario comparison. The results of the selected management scenario can be visualized into a GIS integrated module or presented in several pre-defined reports, like the Operational Plan.

System origin

The SADPOF prototype has developed in 2007-2008 in the course of Portuguese funding research project, coordinated by the IT Company Link Consulting [1], with the scientific partnership of Instituto Superior de Agronomia (ISA) [2] and the forest business experts from Grupo Portucel Soporcel [3]. The latter were involved during the entire project and provided real-life requirements and test cases, which motivated the models and optimization algorithms developed by ISA. This prototype was publically presented to the Iberian Forest community during the FOP workshop organized by the partnership.

It is still a work in progress as its current version implements a sub-set of the foreseen SADPOF functionalities. Further developments can include its productization and installation into real-life application cases.

Support for specific issues

SADDPOF aims to provide optimized FOP scenarios and facilitate subsequent trade-off analysis. Its current scenarios establish monthly harvest schedules for different wood product assortments as well as its distribution networks from harvest sites to transformation centers, including terminals for intermediate storing. The harvest scheduling sub-problem accounts for spatial constraints, monthly forest roads accessibility and contractual obligations forcing harvest to occur before land rental contract expiration. The distribution sub-problem fulfills the monthly qualified destinations demands and relays on other specific transportation-distribution constraints, like road and railway transportation costs minimization, terminals maximum storing capacity and maximum storing time.

Furthermore, its novel technical architecture foresees specific decision support features, such as user’s scenario parameterization screens, scenario cloning for creating new scenarios based on existents, scenarios queue for accessing its processing status and automatically triggers simulation and optimization events. The GIS visualization and reporting templates meet the users’ real-life requirements.

SADPOF forest tactical/operational planning problems

Support for specific thematic areas of a problem type

• Silvicultural
• Product Assortment
• Assignment and distribution
• Development choices / land use zoning

Further developments will implement transportation planning and crews scheduling.

Capability to support decision making phases

• Intelligence: SADPOF provides a structure approach to FOP problems as it identifies required information, allows the selection and parameterization of the management goals and constraints. It contributes for capturing existing technical knowledge and generates new decision support basis information through optimized scenarios economical and ecological assessments and trade-offs analysis.
• Design: SADPOF simulates and assesses alternative FOP scenarios related within the goals and constraints selected by users.
• Choice: SADPOF provide optimized solution for each FOP scenario, driving the decision-maker to choose among the best solutions.
• Monitor: SADPOF is restricted to planning purposes. However its integration with operations follow-up system is foreseen, with special interest for adaptive real-time planning features.

Related systems

SADPOF yearly harvesting stands sub-set results from with other strategic forest planning systems, such as SAGfLOR. The scenario characterization information can be resident in other related systems, like the forestland patrimony management system. Currently, SADPOF data canalization relays on pre-defined import formats, although integration interfaces can be developed. Similarly, the pre-defined outputs can feed other systems downstream of the planning process, such as forest services adjudication and operations follow-up systems.

Data and data models

SADPOF model parameter GUI

Typical spatial and temporal extent of application

SADPOF it’s a tactical/operational planning systems, encompassing 12 to 36 1-month temporal horizon. It typically deals with forest regional scale problems, although the wood destination network can be national or international.

Forest data input

SADPOF required forest level input data.

• Forest harvesting stand: geographical location, area, forest occupation, harvesting volume estimates at the initial planning period, wood piles geographical location, road accessibility months, contractual obligations, slope level, site index
• Product assortment: type of product, product characteristics
• Transformation center: geographical location, accepted products
• Terminal: geographical location, accepted products
• Distribution network: geographical representation, shortest path transportation distances by road and railway between each origin and destination

Type of information input from user (via GUI)

Describe what is the information that the user directly inputs in the system if any): expert knowledge, opinion, goals and production objectives, preferences, stand/site information.... The user can change pre-defined parameter values in specific GUI:

• Management model parameters:
  • Eucaliptus silvicultural system: maximum rotation, minimum harvesting age, installation density
  • Annual average growth in each site index
  • Economical information: harvesting unitary costs, installation unitary costs (with or without resprout removal) wood product prices per destination, transportation unitary costs, storing costs,
  • Minimum qualified monthly demands on the destinations
  • Terminals maximum storing capacity and maximum storing time
  • Spatial constraints: minimum operational area, maximum operational area, minimum distance between adjacent stands, exclusion period
  • Minimum monthly level of stripped and un-stripped wood
  • Time horizon, interest rate
• parameters: Maximum number of iterations, Cooling parameters

Models

Forest models

• Eucaliptus wood logs volume and weight growth and yield models
• Eucaliptus biomass prediction models
• Eucaliptus wood logs drying models

Decision Support

Decision-making processes and models

• Operations research modeling
  • Simulated annealing and HAFS heuristics^[1]
  • Simulated annealing and transportation algorithm at LP Solve [[4]] ^[2]
  • Model exportation in CPLEX [[5]] ^[3] template for optimal solution

General system functioning

The user starts by creating a new FOP scenario or consulting the scenarios processing status in the Scenarios queue. The FOP scenario includes selecting one model and solution method, their parameters configuration, all the required business data and afterwards, the optimization results. Thus, the users operations in the SADPOF are:

• New FOP scenario creation: selection of the model and solution method
• Scenario parameterization: the model and solution methods have default values, with can be changed by the user.
• Scenario simulation: automatic system operation for decision variable generation and business data canalization. The simulated scenario can be optimized within SAPDOF optimization module or exported to CPLEX.
• Scenario optimization: automatic system operation for solution method execution. Ends with the generation on the Operational Plan and the other SADPOF outputs.
• Scenario cloning: corresponds to the exact replication of a selected scenario (model, solution method, business data, parameters) on the created or simulated status. This feature enables rapid new scenario creation for further parameterization, aiming scenarios comparison.
• Scenario analysis: the scenario optimization results can support profitability assessments and trade-off analysis.
• Scenario queue consultation: presents the status of each FOP scenario and their direct link. Several scenarios can be created almost simultaneously. Their processing sequence is automatically managed by the Scenario queue.
• Operational plan consultation

Output

Types of outputs

The results of the selected management scenario can be visualized into a GIS integrated module or presented in several pre-defined reports, like the Operational Plan. This excel report presents monthly harvest schedules and monthly qualified wood flows between the origins and destinations, in order to maximize the forest operations net present value (NPV) and to fulfill the management objectives and constraints. It further expresses the scenario optimization results summary which can be used to perform scenario profitability analysis (e.g., individual NPV contributions of harvest transportation from stands and transportation from terminals into the final NPV result, limiting and non-limiting constraints, obtained vs. target deviations for the limiting constraints, weights and penalties given to each unitary deviation). Additionally, trade off analysis can be performed, through generating identical scenarios, changing some model parameters and conducting their optimized results comparison (e.g. impact of terminal capacities increment, existence/value of transformation centers self-supply levels, existence/level of terminals minimum level of supply, increasing the penalty of the maximum area limitation constraint, existence/value of the terminals maximum storing time, wood product prices variation in some destinations, operations costs variations, inaccessibility of the forest roads for some stands during winter).

Spatial analysis capabilities

• integrated capabilities in the SADPOF GIS module
• facilitates links to other GIS systems

System

System requirements

• Client requirements:
  • Browser with web connectivity
  • Minimum Windows XP (GIS module)
• Server requirements:
  • Windows Server 2003
  • SQL Server 2005
  • .Net 3.5
  • 1 GB memory
  • minimum Duo Core Processor

Architecture and major DSS components

The forest practitioners were involved during the entire project, particularly at SADPOF architecture and specification, using the Enterprise Architecture approach ^{[4] [5]}

The SADPOF three layer modular architecture encompasses the common business information and scenario data repositories, the GUI interfaces for the several FOP application modules and their specific simulator and optimizer component. Visual Studio 2008 (C#) is the SADPOF developing environment, except for the GIS module implemented in Open Source MapWinGis [[6]] ^[6]

Usage

Currently it has research use.

Installation

• It requires prior user training on the SADPOF concepts.
• Demo: trial and demo versions can be given by request alexmarques@isa.utl.pt.

References

Cited references

1. ↑ 5. Marques AF, Borges JG, Sousa P, Gonçalves L, Diaz E, Moura P, Ferrinho M. 2011. Integrating harvest scheduling and timber assortment and assignment planning processes. An application to forest tactical planning by a pulpwood company in Portugal. Forest Science (prep).
2. ↑ http://lpsolve.sourceforge.net/5.5/
3. ↑ http://ftp.ilog.fr/products/cplex/product/mip.cfm
4. ↑ Marques AF, Borges JG, Sousa P and Pinho A, 2010. An enterprise architecture approach to forest management support systems design. An application to pulpwood supply management in Portugal. European Journal of Forest Research130 (6): 935-948
5. ↑ Marques AF, Borges JG, Sousa P, Fonseca M, Garcia R, Batista G. 2010. Applying enterprise architecture to the design of the integrated forest products supply chain management system. In: Varajão, Cunha M. (Eds.) Proceedings of the CENTERIS2010 Conference, Part II, CCIS 110, Springer-Verlag Berlin Heidelberg 2010, pp. 32-40.
6. ↑ http://www.mapwindow.org