BazEkon - The Main Library of the Cracow University of Economics

BazEkon home page

Main menu

Azizi Majid (University of Tehran, Tehran, Iran), Ramezanzadeh Mostafa (University of Tehran, Tehran, Iran)
Location Selection of Agricultural-Residuals Particleboard Industry Through Group Decision: the Case Study of Northern Iran
Economics, Management and Sustainability, 2016, vol. 1, nr 1, s. 14-22, rys., tab., bibliogr. 25 poz.
Przemysł drzewny, Przemysł papierniczy, Analityczny proces hierarchiczny, Lokalizacja działalności
Wood industry, Papermaking industry, Analytic Hierarchy Process (AHP), Location of activity
JEL Classification: Q16, Q18
This paper presents a framework for locating agricultural-residuals particleboard industry in the northern provinces of Iran. Particleboard industry is the only Iranian wood and paper industry with an export potential and the use of agricultural residuals as the raw material can help with increasing the production in this industry, while reducing the damage to forest resources. The northern provinces of Iran are agricultural centers with ample amounts of agricultural residues. These provinces are, therefore, preferable to other provinces as the construction sites of particleboard plants. In the location selection model presented in this paper, the Analytical Hierarchy Process (AHP) method is used and the results indicate that the criterion of 'material and production' and the sub-criterion of 'reliability of supply' have the highest priorities, and that Golestan province is the best alternative. (original abstract)
Full text
  1. Al-Harbi, K.M. Al-S. (1999). Application of the AHP in project management. International Journal of Project Management, 19, 19-27.
  2. Ataei, M. (2005). Selection of Alumina-Cement Plant Location with Application of Multicriteria Estimation Method. Journal of Mining Science, 41(2), 185-194.
  3. Azizi, M., Amiri, S., & Faezipuor, M. (2003). Determination of Effective Criteria for Location Selection of Plywood and Veneer Units by AHP Method, Iranian J. Natural Resources, 55(4), 15.
  4. Azizi, M., & Modarres, M. (2003). Location selection of plywood and veneer plants by applying ANP and BOCR structure. Conference ISAHP Bali Indonesia.
  5. Azizi, M., & Ramezanzade, M. (2011). Location Selection for MDF Industry by Using Analytic Hierarchy Process Method, A Case Study: Mazandaran Province. Journal of Forest and Wood Products, 64(3), 261-281.
  6. Bhatt, R., Macwan, J.E.M., Bhatt, D., & Patel, V. (2010). Analytic Hierarchy Process Approach for Criteria Ranking of Sustainable Building Assessment: A Case Study, World Applied Sciences Journal, 8(7), 881-888.
  7. Braglia, M., & Gabbrielli, R. (2012). A Decision Support System for locational analysis in paper industry. International Journal of Logistics Systems and Management, 11(1), 38-55. doi:10.1504/IJLSM.2012.044049.
  8. Burdurlu, E., & Ejder, E. (2003). Location choice for furniture industry firms by using Analytic Hierarchy Process (AHP) method, G.U., Journal of Science, 16(2), 5.
  9. Eichenberg, T.R., Bandeira, D.L., & Becker, J.L. (2011). Applying AHP to the process of determining the best combination of locations to a company's mobile operational units. Proceedings of the International Symposium on the Analytical Hierarchy Process.
  10. Ghodsipuor, H. (2002). AHP. Industrial University of Amir Kabir.
  11. Hilmola, O.P., Saranen, J., & Padilha, F. (2010). Location criteria and strategic factors of biodiesel factory establishment in Finnish context. Lappeenranta University of Technology Department of Industrial Management. Kouvola Research Unit Research Report, 219.
  12. Iranian Statistics Center. (2012). National Statistics Yearbook. Iranian Statistics Center, Tehran.
  13. Lak, M.B. (2011). Estimation of Wheat Cultivation Mechanization Status in Iran. Asian Journal of Agricultural Sciences, 3(1), 51-55.
  14. Partovi, F.Y. (2004). An analytic model for locating facilities strategically. The International Journal of Management Science, 34, 15.
  15. Peltola, S., Torkkeli, M., & Tuimala, J. (2002). Integrating GSS and AHP: Experiences from Benchmarking of Buyer-Supplier Relationships. Proceedings of the 35th Hawaii International Conference on System Sciences.
  16. Phdungsilp, A., Wuttipornpun, T., 2011. Decision Support for the Selection of Electric Power Plants Generated from Renewable Sources, World Academy of Science, Engineering and Technology, 150-155.
  17. Qureshi, M.E., & Harrison, S.R. (2003). Application of the analytic hierarchy process to riparian revegetation policy options. Small-scale Forest Economics, Management and Policy, 2(3), 441-458. doi:10.1007/s11842-003-0030-6.
  18. Ramezanzadeh, M. (2009). Determination of Effective Criteria and Location Selection of MDF Industry in Mazandaran Province. Thesis of M.Sc., University of Tehran, 94.
  19. Samari, D., Azadi, H., Zarafshani, K., Hosseininia, G., & Witlox, F. (2012). Determining appropriate forestry extension model: Application of AHP in the Zagros area, Iran. Forest Policy and Economics, 15, 91-97.
  20. Statistics agricultural crops. (2012). Ministry of Agriculture of Iran. Retrieved from:
  21. Tavakkoli, M.R., & Mousavi, S.M. (2011). An Integrated AHP-VIKOR Methodology for Plant Location Selection. IJE Transactions B: Applications, 24(2), 127-137.
  22. Vali, M. (2011). Determination of Effective Criteria and Location Selection of Floating Paper Industry in Golestan Province. Thesis of M.Sc., University of Golestan, 78.
  23. Volkova, A., Latosov, E., & Siirde, A. (2010). Selection of the most appropriate regions for wood fuel based cogeneration plants using multi criteria decision analysis methods. International Journal of Energy, 4(2).
  24. Walker, C.F.J. (2006). Primary Wood Processing. University of Canterbury, Christchurch, New Zealand.
  25. Wu, C.R., Lin, C.T., & Chen, H.C. (2007). Optimal selection of location for Taiwanese hospitals to ensure a competitive advantage by using the analytic hierarchy process and sensitivity analysis, Building and Environment, 42, 1431-1444.
Cited by
Share on Facebook Share on Twitter Share on Google+ Share on Pinterest Share on LinkedIn Wyślij znajomemu