كليدواژه :
مكان يابي , كارخانه فرآوري , برنامه ريزي آرماني فازي , مدلسازي رياضي , معدن مس سونگون
چكيده فارسي :
تعيين مكان احداث كارخانه فرآوري يكي از تصميم‌هاي مهم در مكان‌يابي و جانمايي تأسيسات معدن در طراحي پروژه‌هاي معدني است. مساله مكان‌يابي كارخانه فرآوري را مي‌توان يك مساله چندهدفه در نظر گرفت و با روش برنامه‌ريزي آرماني آن را حل كرد. در اين مقاله، براي حل مساله مكان‌يابي كارخانه فرآوري براي اولين بار رويكرد برنامه‌ريزي رياضي آرماني فازي توسعه و به كار گرفته شده است. به‌منظور تعيين كارآمدي اين رويكرد در حل مساله مكان‌يابي، معدن مس سونگون مورد مطالعه قرار گرفت. در تعيين مكان كارخانه فرآوري براي اين معدن، پنج آرمان نزديكي به سنگ‌شكن، نزديكي به سد باطله، نزديكي به منبع برق، دوري از نقاط آتشباري و شيب توپوگرافي در نظر گرفته شدند. همچنين، شش گزينه عملي با بررسي نقشه محدوده معدني شناسايي شده و در نهايت گزينه‌ها رتبه‌بندي شدند. در بررسي‌هاي عيني از محدوده و مكان‌هاي مورد بررسي، مشخص شد كه با توجه به سطوح آرماني اهداف انتخاب مكان كارخانه و وزن‌هاي اختصاص داده شده به آرمان‌ها، گزينه تعيين‌شده مكان ايده‌آل براي احداث كارخانه فرآوري اين معدن بوده است.
چكيده لاتين :
In this paper, a fuzzy-based goal programming approach was developed in order to solve the problem of processing plant site determination. In order to determine the efficiency of the developed approach, Sungun copper area was studied. In this case, five goals were considered as proximity to crusher, tailing dam, power source, distance from blasting sources, and topography of the available land. Furthermore, six feasible alternatives were initially specified by studying Sungun area map, and then were prioritized using the approach. After investigating the Sungun area, it was concluded that the approach is capable in determining the most ideal alternative in this case, considering the levels of the goals and their fuzzy weights. A fuzzy-based goal programming approach was developed in order to solve the processing plant site determination problem, with application in Sungun copper mine. Introduction Since a processing plant is usually used during the mine-life, finding the most ideal site helps in reducing operation costs. The researches related to solving this problem are very limited to a few cases, by developing multi-attribute decision-making methods such as fuzzy TOPSIS. In this study, a different approach has been developed based on fuzzy goal programming approach. Methodology and Approaches First, the most important goals are considered together with the feasible alternatives. Then, a pairwise comparison matrix of the considered goals is created based on triangular fuzzy numbers, in order to find the weight of each goal. In next step, a membership function is defined for each goal. After that, a maximization objective function is mathematically defined based on the model introduced by Tiwari et al. (1987), by considering both weights and membership functions of the goals. Finally, the mathematical model is solved using the Solver tool in Excel; as a result, the alternatives are prioritized. Results and Conclusions After in-field investigation of the considered alternatives, it was concluded that the alternatives were appropriately prioritized and the ideal site was determined using the developed approach.
