Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Questioning the contemporary forest planning paradigm: making use of local knowledge
Department of Forest Resource Management, Swedish University of Agricultural SciencesSkogsmarksgränd, Umeå, Sweden.
Mid Sweden University, Faculty of Human Sciences, Department of Business, Economics and Law.
Department of Forest Resource Management, Swedish University of Agricultural SciencesSkogsmarksgränd, Umeå, Sweden.
2014 (English)In: Scandinavian Journal of Forest Research, ISSN 0282-7581, E-ISSN 1651-1891, Vol. 29, no S1, p. 56-70Article in journal (Refereed) Published
Abstract [en]

The forest planning system of large Swedish forest owners follows a three step procedure: long-term, medium-term, and short-term planning. The system is sequential and hierarchical in the sense that longer-term plans form the framework for shorter-term plans, and that top-level management prepares the long range plans and the lower management levels develop plans with successively shorter horizons. Studies indicate that this approach does not fully use existing knowledge within the organization. Problems associated with the top-down approach are also recognized in the general literature on organization and management. A proposal for a bottom-up approach is developed that aim at the use of local level knowledge to enhance accuracy and applicability of the forest plans. After top-level management has issued some fundamental planning directives, medium-term planning is conducted by the districts. Then the district plans are consolidated at the top-level for coordination and revision. A simulated planning process provides an illustration of the approach. The Heureka system is used here to optimize harvests and road costs with a mixed integer programming model of the problem, spanning 10 years with three seasons per year. The importance of detailed local knowledge to the outcome of planning is indicated, and needs for continued decision support systems development is discussed.

Place, publisher, year, edition, pages
2014. Vol. 29, no S1, p. 56-70
Keywords [en]
knowledge management, mixed integer programming, hierarchical planning, bottom-up planning, planning dialog
National Category
Business Administration
Identifiers
URN: urn:nbn:se:miun:diva-24039DOI: 10.1080/02827581.2013.834960ISI: 000345373600006Scopus ID: 2-s2.0-84912150409OAI: oai:DiVA.org:miun-24039DiVA, id: diva2:778243
Available from: 2015-01-09 Created: 2015-01-07 Last updated: 2017-12-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Wahlberg, Olof

Search in DiVA

By author/editor
Wahlberg, Olof
By organisation
Department of Business, Economics and Law
In the same journal
Scandinavian Journal of Forest Research
Business Administration

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 263 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf