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Decision-making for the selection of a best wood extraction method: An analytic network process approach

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  • Jaafari, Abolfazl
  • Najafi, Akbar
  • Melón, Mónica García

Abstract

The importance of environmental and economical aspects in sustainable forest management (SFM), demands a continuing need for the application of efficient methods in this field. In this paper, we applied analytic network process (ANP) with benefits, opportunities, costs, and risks (BOCR) to evaluate four existing wood extraction methods (rubber-tired skidder, tracked skidder, cable logging and animal skidding) and select the best one based on SFM strategies in the Caspian (Hyrcanian) Forest, in northern Iran. The required data were obtained either from the previous studies or through pairwise comparisons conducted by a panel of forest engineering experts. Based on the BOCR subnetworks and their corresponding criteria, four alternatives were synthesized. ANP analysis indicated that the benefits and risks were more important in terms of decision-making, compared to the opportunities and costs. Finally, the alternative of ‘rubber-tired skidder’ was selected as the most suitable method for meeting SFM strategies. The decision framework proposed in this study offers a means for the reorganizing and planning of timber harvesting operations as an integral step toward SFM. By making minor adjustments for local conditions, this decision framework can be adapted for many other regions and countries.

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  • Jaafari, Abolfazl & Najafi, Akbar & Melón, Mónica García, 2015. "Decision-making for the selection of a best wood extraction method: An analytic network process approach," Forest Policy and Economics, Elsevier, vol. 50(C), pages 200-209.
    • Handle: RePEc:eee:forpol:v:50:y:2015:i:c:p:200-209
    DOI: 10.1016/j.forpol.2014.09.010
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    References listed on IDEAS

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    Cited by:

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    2. Grima, Nelson & Singh, Simron J. & Smetschka, Barbara, 2018. "Improving payments for ecosystem services (PES) outcomes through the use of Multi-Criteria Evaluation (MCE) and the software OPTamos," Ecosystem Services, Elsevier, vol. 29(PA), pages 47-55.
    3. Dragoi, Marian, 2018. "Joining or not joining non-industrial private forests into a single management unit: A case-study shaped as an Analytic Network Process," Forest Policy and Economics, Elsevier, vol. 89(C), pages 63-70.
    4. Erik Schulze-González & Juan-Pascual Pastor-Ferrando & Pablo Aragonés-Beltrán, 2021. "Testing a Recent DEMATEL-Based Proposal to Simplify the Use of ANP," Mathematics, MDPI, vol. 9(14), pages 1-23, July.
    5. Augustynczik, Andrey Lessa Derci & Arce, Julio Eduardo & Yousefpour, Rasoul & da Silva, Arinei Carlos Lindbeck, 2016. "Promoting harvesting stands connectivity and its economic implications in Brazilian forest plantations applying integer linear programming and simulated annealing," Forest Policy and Economics, Elsevier, vol. 73(C), pages 120-129.
    6. Mokarram, Marzieh & Mirsoleimani, Abbas, 2018. "Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (Case study: Fars province, Iran)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 506-518.
    7. Ivan Ligardo-Herrera & Tomás Gómez-Navarro & Hannia Gonzalez-Urango, 2019. "Application of the ANP to the prioritization of project stakeholders in the context of responsible research and innovation," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(3), pages 679-701, September.

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