Determination of Effective Criteria for Location Selection of Kiln Wood Drying Plants by AHP Technique

Document Type : Research Paper

Authors

Abstract

This study was aimed at determining the effective criteria for location selection of wood drying plants in Iran. For this purpose, after review and field visit of the industries, 35 key indicators were identified. These criteria were divided into five major groups as: materials, infrastructure, technical, economical and instructional indices. The priority rates of these criteria and sub-criteria were evaluated by AHP technique. The results indicated that among 35 effective sub-criteria in location selection of the plants, the sub-criteria of quality of raw materials(0.152), purchasing raw materials, land cost, profitability, reliability of supply, and sales had the highest priorities, which were rated as 0.118, 0.105, 0.067, 0.061 and 0.057, respectively

Keywords


1- Alishahi, M. SH. 2008. Future of Iran Furniture Industry. Iran Wood, Furniture and Paper Industry MAG, 39:49-80. (In Persian).
2- Asgharpour, M. 1998. Multi-criteria decision making. University of Tehran. 398 p. (In Persian).
3- Azizi, M., Amiri, S., Memariani, A. 2004. Decision making for selection of suitable location for plywood and veneer manufacturing units in iran. Journal of Iranian Natural Resources, Vol. 57, No: 3. (In Persian).
4- Azizi, M., Amiri, S., Faezipour, M. 2002. Determination of effective criteria for location selection of plywood  and veneer units by AHP Method. Journal of Iranian Natural Resources, Vol. 55, No:4, p543-556. (In Persian).
5- Burdurlu.E., Ejder.E., 2003. An location choice for furniture industry firms by using Analytic Hierarchy Process(AHP) method. G.U., Journal of Science, N.16(2): 369-373.
6- Dadras. K, 2006. Analytical hierarchy process in flexible production.
7- Ghodsipour, H. 2000. Analytical Hierarchy Process. Amir Kabir Univ. press, 220 p (In Persian).
8- Haksever, C., Render, B., Russell, R.S., Murdick, R.G., 1990. Service Management and operations. Prentice Hall, Upper Saddle River, Newjersey.
9- Karimi Aliziei, H. 1994. Location imperatives switching wood unit. Collections of the first international seminar on forest and industry. 780-793. (In Persian).
10- Kotler, p., and Keller, K. L., 2009. Marketing Management. Pearson Education International (Prentic Hall), New Jersey. Pp: 347 – 564.
11- Lin, W., Carino, H.F., Muehlenfeld, K.J., 1996. OSB/Location: Acomputer model for determining optimal oriented strand board plant location and size, Forest Products Journal, 46 (2): 71-78.
12- Memariani, A., Azar, A. 1995. Analytical Hierarchy Process new technique for group decision. Journal of Knowledge Management. No: 22. 28-32. (In Persian).
13- McCauly, C.K., Caulfield, J.P., 1990. Using mixed integer programming to determine the optimal location for an oriented strand board plant in Albama, Forest Products Journal, 40 (2): 39-44.
14- Michael, j.H., Teitel, J., Granskog, j.E.,1998. Production facility site selection factors for texas value-added wood producers. Aforest Product Journal, 48(7/8):27-32.
15- Modarres, M., Asefvaziri, A. 1990. Feasibility of industrial design - design build industry. . Sharif University of Technology. 224 p. (In Persian).  
16- Ramezanzade, M., 2009. A study of Criteria identification and Location Selection for MDF Industry. Case of the study: Mazandaran Province. A Thesis submitted for degree of M.Sc. In Natural resources Engineering wood and paper science and technology. Tehran University. 94 p. (In Persian).
17 - Ratnasingam, J. 1999. Furniture Costing in Perspective. Sys Data Network Sdn Bhd (Press Co.), Kuala Lumpur. Pp: 54 – 63.
18- Saaty, T.L., 2000. Decision making for leaders, RWS Publications, Pittsburgh,PA,323 pp.
19- Yang, T., Chen, M., Hung, C., 2007. Multiple attribute decision-making methods for the dynamic operator allocation problem, J. Mathematics and Computer in Simulation, No. 73:285-299.
20- Ziaie, M. 2009. Evaluation of World Furniture Market (1997-2007). Strategic players and Situation of Iran, Iran Wood, Furniture and Paper Industry MAG, 49: 50-85.