Skip to main content

Integrating Management Planning Levels with Decision Support Systems

  • Chapter
  • First Online:
The Management of Industrial Forest Plantations

Part of the book series: Managing Forest Ecosystems ((MAFE,volume 33))

  • 1162 Accesses

Abstract

In this chapter we discuss current challenges to the development of Decision Support Systems (DSS) that may increase the efficiency and the effectiveness of industrial forests management scheduling. We highlight the need for automation of industrial forest strategic, tactical and operational management planning processes within DSS – computerized tools with a graphical user interface that include a data management module, a growth and yield projection module and a scheduling module – to provide guidance and support to the definition of the timing and the location of industrial forest management options at various temporal scales. The emphasis is further on architecture approaches that may promote the effective use of models and methods available to support and integrate strategic, tactical and operational industrial forests management scheduling as well as supply chain management. DSS architecture and design approaches characterized by a strong involvement of stakeholders are more prone to success. DSS applications are briefly described in 3 Management Planning in Action boxes.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Borges JG, Falcão A (2000) Simulação expedita de planos estratégicos para a área de eucaliptal da Stora Celbi, Celulose Beira Industrial, SA. Grupo de Economia e Planeamento em Recursos Florestais, Departamento de Engenharia Florestal, ISA, Lisboa, 490 p

    Google Scholar 

  • Borges JG, Falcão A, Miragaia C, Marques P, Marques M (2003) A decision support system for forest resources management in Portugal. In: Arthaud GJ, Barrett TM (eds) System analysis in forest resources, vol 7, Managing forest ecosystems. Kluwer Academic, Dordrecht, pp 155–164

    Chapter  Google Scholar 

  • Borges JG, Nordström EM, Garcia-Gonzalo J, Hujala T, Trasobares A (eds) (2014a) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (forthcoming)

    Google Scholar 

  • Borges JG, Nordström EM, Hujala T, Garcia-Gonzalo J, Trasobares A, Rodriguez LCE (2014b) Addressing forest management planning problems with computerized tools. A synthesis of the experience world-wide. In: Borges JG, Nordström EM, Garcia-Gonzalo J, Hujala T, Trasobares A (eds) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (forthcoming)

    Google Scholar 

  • Burstein F, Holsapple C (eds) (2008) Handbook on decision support systems, International handbooks on information systems series, Handbook on decision support systems, 2. Springer, Berlin

    Google Scholar 

  • D’Amours S, Ronnqvist M, Weintraub A (2008) Using operational research for supply chain planning in the forest products industry. Infor 46(4):265–281

    Google Scholar 

  • Epstein R, Parada C, Weintraub A (2014) The design and use of forest decision support systems in Chile. In: Borges JG, Nordström EM, Garcia-Gonzalo J, Hujala T, Trasobares A (eds) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (forthcoming)

    Google Scholar 

  • Eriksson LO, Garcia-Gonzalo J, Trasobares A, Hujala T, Nordström EM, Borges JG (2014) Computerized decision support tools to address forest management planning problems: history and approach for assessing the state of art world-wide. In: Borges JG, Nordström EM, Garcia-Gonzalo J, Hujala T, Trasobares A (eds) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (forthcoming)

    Google Scholar 

  • Falcão A, Borges JG (2005) Designing decision support tools for Mediterranean forest ecosystems management: a case study in Portugal. Ann For Sci 62:751–760

    Article  Google Scholar 

  • Gordon SN, Johnson KN, Reynolds KM, Crist P, Brown N (2005) Decision support systems for forest biodiversity: evaluation of current systems and future needs. Final report, project A10, National Commission on Science and Sustainable Forestry, Washington, DC. URL: http://ncseonline.org/NCSSF/DSS/Documents/docs/NCSSF_A10_final_report_040128sg.doc

  • Hetemaki L, Nilsson S (eds) (2005) Information technology and the forest sector, IUFRO world series vol 18. International Union of Forest Research Organizations, Vienna, 235 p

    Google Scholar 

  • Heureka (2010) The Heureka research programme. Final report for phase 2, October 2005 – September 2009. SLU. 119 pp

    Google Scholar 

  • Hjort-Madsen K (2006) Enterprise architecture implementation and management: a case study on interoperability. In: HICSS 2006—39th Hawaii international conference on systems science, Kauai, p 71

    Google Scholar 

  • Kangas A, Kangas J, Kurttila M (2008) Decision support for forest management. Springer, New York

    Google Scholar 

  • Keles S, Baskent E (2014) The design and use of forest decision support systems in Turkey. In: Borges JG, Nordström EM, Garcia-Gonzalo J, Hujala T, Trasobares A (eds) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (forthcoming)

    Google Scholar 

  • Kurttila M, Heinonen T, Hujala T, Kangas A, Nuutinen T, Pukkala T, Pykäläinen J, Rasinmäki J, Tikkanen J (2014) The use of forest decision support systems in Finland. In: Borges JG, Nordström EM, Garcia-Gonzalo J, Hujala T, Trasobares A (eds) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (forthcoming)

    Google Scholar 

  • Lamas T, Nordstrom E-M, Sallnas O (2014) The design and use of forest decision support systems in Sweden. In: Borges JG, Nordström EM, Garcia-Gonzalo J, Hujala T, Trasobares A (eds) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (forthcoming)

    Google Scholar 

  • Mallach E (1994) Understanding decision support systems and expert systems. Irwin Inc., Chicago, 695 p

    Google Scholar 

  • Marques AF (2012) New decision support tools for forest tactical and operational planning. PhD thesis, Instituto Superior de Agronomia, Universidade Técnica de Lisboa, 69 pp

    Google Scholar 

  • 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 JE, Cruz-Cunha MM, Putnik GD, Trigo A (eds) Enterprise information systems international conference CENTERIS2010, Viana do Castelo, Portugal, October 20–22, 2010, Part II, Communications in computer and information science 110, Part 1. Berlin/Heidelberg, Springer, pp 32–40. doi:10.1007/978-3-642-16419-4_4

  • Marques A, Borges JG, Sousa P, Pinho AM (2011) An enterprise architecture approach to forest management decision support design. An application to pulpwood supply management in Portugal. Eur J For Res 30:935–948

    Article  Google Scholar 

  • Marques AF, Borges JG, Sousa PM, Fonseca M, Gonçalves J, Oliveira J (2012) An enterprise architecture approach for designing an integrated wood supply management system. In: Varajão J, Cruz-Cunha MJ, Trigo T (eds) Organizational integration of enterprise systems and resources: advancements and applications. IGI Global, Hershey, pp 1–22. doi:10.4018/978-1-4666-1764-3.ch001

  • Marques AF, Borges JG, Garcia-Gonzalo J, Lucas B, Melo I (2013) A participatory approach to design a toolbox to support forest management planning at regional level. For Syst 22:340–358

    Google Scholar 

  • Marques A, Garcia-Gonzalo J, Borges JG (2014) Computer based tools for supporting forest management in Portugal. In: Borges JG, Nordström EM, Garcia-Gonzalo J, Hujala T, Trasobares A (eds) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (forthcoming)

    Google Scholar 

  • Martin N, Gregor S, Hart D (2004) Using a common architecture in Australian e-government: the case of smart service Queensland. In: Proceedings of the 6th international conference on electronic commerce, ACM, Delft, The Netherlands, pp 516–552

    Google Scholar 

  • Mower HT (1997) Decision support systems for ecosystem management: an evaluation of existing systems, General technical report RM-GTR-296. USDA Forest Service, Fort Collins, Colorado, USA, 154 p

    Google Scholar 

  • Nabuurs G, Paivinen R (1996) Large scale forestry scenario models – a compilation and review. EFI working paper 10, 174 p

    Google Scholar 

  • Packalen T, Marques AF, Rasinmaki J, Ferreti F, Mounir F, Rodriguez LCE, Nobre S (2013) Review. A brief overview of forest management decision support systems (FMDSS) listed in the FORSYS wiki. For Syst 22(2):263–269. doi:10.5424/fs/2013222-03192

    Google Scholar 

  • Rammer W, Vacik H, Palma J, Garcia-Gonzalo J, Borges JG, Lexer MJ (2014) A web-based ToolBox approach to support 1 adaptive forest management under climate change. Scand J For Res (forthcoming)

    Google Scholar 

  • Rauscher HM, Reynolds KM (2005) Decision-support systems for forest management. Comput Electron Agric 49(1):1–5

    Article  Google Scholar 

  • Reynolds KM, Borges JG, Vacik H, Lexer MJ (2005) Information and communication technology in forest management and conservation. In: Hetemaki L, Nilsson S (eds) Information technology and the forest sector, vol 18, IUFRO world series. International Union of Forest Research Organizations, Vienna, pp 150–171

    Google Scholar 

  • Reynolds KM, Twery M, Lexer MJ, Vacik H, Ray D, Shao G, Borges JG (2008) Decision support systems in natural resource management. In: Burstein F, Holsapple C (eds) Handbook on decision support systems, International handbooks on information systems series, Handbook on decision support system, 2. Springer, Berlin, pp 499–534

    Chapter  Google Scholar 

  • Ribeiro RP, Borges JG, Pereira CM, Sousa PM, Lé JP (2005) Designing an integrated forest planning system for the forest industry: an application in Portugal. In: Bevers M, Barrett TM (tech. comps.) Systems analysis in forest resources, General technical report PNW-GTR-656. Proceedings of the 2003 symposium, U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Stevenson/Portland, 7–9 October 2003, pp 89–96

    Google Scholar 

  • Rodriguez LCE, Nobre S (2014) The use of decision support systems in Brasil. In: Borges JG, Nordström EM, Garcia-Gonzalo J, Hujala T, Trasobares A (eds) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (forthcoming)

    Google Scholar 

  • Rönnqvist M (2003) Optimization in forestry. Math Program Ser B 97:267–284

    Google Scholar 

  • Shunk D, Kim J, Nam HY (2003) The application of an integrated enterprise modeling methodology—FIDO—to supply chain integration modeling. Comput Ind Eng 45:167–193

    Article  Google Scholar 

  • Schuster E, Leefers L, Thompson J (1993) A guide to computer-based analytical tools for implementing national forest plans, General technical report INT-296. USDA Forest Service, Ogden, Utah, USA, 269 p

    Google Scholar 

  • Sousa P, Pereira C (2005) Enterprise architecture: business and IT alignment. In: Proceedings of the 2005 ACM symposium on applied computing, Santa Fe, New Mexico, pp 1344–1345

    Google Scholar 

  • Sousa P, Pereira C, Alves Marques J (2005) Enterprise architecture alignment heuristics. Microsoft Archit J. http://msdn.microsoft.com/en-us/library/aa480042.aspx

  • Spewak S (1992) Enterprise architecture planning: developing a blueprint for data, applications and technology. Wiley-QED Publication, London

    Google Scholar 

  • Stecher P (1993) Building business and application systems with theretail application architecture. IBM Syst J 32:278–306

    Article  Google Scholar 

  • Stewart A, Ray D (2014) Decision support systems for the sustainable management of forests in Britain. In: Borges JG, Nordström EM, Garcia-Gonzalo J, Hujala T, Trasobares A (eds) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (forthcoming)

    Google Scholar 

  • Turban E, Aronson J (2004) Decision support systems and intelligent systems, 7th edn. Prentice-Hall, Upper Saddle River, New Jersey, USA, 890 p

    Google Scholar 

  • Vasconcelos A, Sousa P, Tribolet J (2003) Information system architectures. In: Proceedings of business excellence 2003, International conference on performance measures, benchmarking and best practices in new economy, Guimarães, June 2003

    Google Scholar 

  • Weintraub A, Romero C (2006) Operations research models and the management of agricultural and forestry resources: a review and comparison. Interfaces 36:446–457

    Article  Google Scholar 

  • Wikström P, Edenius L, Elfving B, Eriksson LO, Lämås T, Sonesson J, Öhman K, Wallerman J, Waller C, Klintebäck F (2011) The Heureka forestry decision support system: an overview. Math Comput For Nat Res Sci (MCFNS) (in press)

    Google Scholar 

  • Xu K, Liu L, Wu C (2007) A three-layered method for business processes discovery and its application in manufacturing industry. Comput Ind 58:265–278

    Article  Google Scholar 

  • Zahedi F (1993) Intelligent systems for business. Expert systems with neural networks. Wadsworth Publishing Company, Belmont, 658 p

    Google Scholar 

Download references

Acknowledgements

The development of this chapter was partially supported by the COST Action FORSYS Forest Management Decision Support Systems (FP0804), by the Erasmus Mundus Master Course ‘Mediterranean Forestry and Natural Resources Management’ (MEDfOR) and by funding from the European Union’s Seventh Programme for research, technological development and demonstration under grant agreements: n° 282887 (INTEGRAL – Future-oriented integrated management of European forest landscapes) and n° PIRSES-GA-2010-269257 (ForEAdapt – Knowledge exchange between Europe and America on forest growth models and optimization for adaptive forestry).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to José G. Borges .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Borges, J.G., Marques, A.S., Eriksson, L.O., Marey, M.F. (2014). Integrating Management Planning Levels with Decision Support Systems. In: Borges, J., Diaz-Balteiro, L., McDill, M., Rodriguez, L. (eds) The Management of Industrial Forest Plantations. Managing Forest Ecosystems, vol 33. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8899-1_9

Download citation

Publish with us

Policies and ethics