SciELO - Scientific Electronic Library Online

 
vol.108 issue10Strategic factors and a model of enterprise restructuring in the coal industry in Europe with emphasis on experiences in a Slovenia-Velenje coal mine caseSlope modification of open pit wall using a genetic algorithm - case study: southern wall of the 6th Golbini Jajarm bauxite mine author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Journal of the Southern African Institute of Mining and Metallurgy

On-line version ISSN 2411-9717

Abstract

YAVUZ, M.. Selection of plant location in the natural stone industry using the fuzzy multiple attribute decision making method. J. S. Afr. Inst. Min. Metall. [online]. 2008, vol.108, n.10, pp. 641-649. ISSN 2411-9717.

Determining the most convenient plant location is one of the most commonly encountered problems in engineering applications. This paper presents a fuzzy multiple attribute decision making (FMADM) model which is developed for the selection of the optimum plant location for natural stone factories in the mining industry. The criteria affecting the decision making process in natural stone industry were determined to solve the plant location problem in the FMADM model. To determine the optimum plant location for a new natural stone factory, which is planned to be established by a mining firm located in the Eskisehir region of Turkey, an analysis was carried out by incorporating the method and the analytic hierarchy process (AHP) method. The analysis shows that the Yager's method can easily be applied to the selection of plant location in the natural stone and mining industry when the difficulties encountered in the application process of the AHP method is taken into account.

Keywords : Natural stone; plant location; decision making; Yager's method; analytic hierarchy process (AHP).

        · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License