Abstract
Site selection for the mineral processing is the most important decision made by owner that has a significant impact on the efficiency of the whole process. This is a critical decision which involves considering a number of criteria and finding the best location among feasible alternatives. Therefore, a multicriteria decision-making method is necessary to apply site-selection process to find the best location that meet desired conditions set by the selection criteria. This paper presents an application of TOPSIS method based on fuzzy sets (fuzzy TOPSIS), which is one of the broader multicriteria decision making means, used to select an appropriate site for mineral processing plant for Sangan iron ore mine (phase 2). For this purpose, at first considering the geological, technical, economical, and environmental factors, three feasible alternatives were selected for the processing plant using Geographical Information System. Then, based on the technical and experimental experiences and through judgment of the decision makers and experts, 14 criteria were established and these alternatives were evaluated. Finally, the alternatives were ranked and the best location was recommended.
Abstract
إن عملية اختيار الموقع المناسب لمعالجة المعادن تعتبر من اهم القرارات التي يجب على المسؤول اتخاذها والتي من شأنها ان تؤثر على كفاءة عملية المعالجة برمتها. لاتخاذ مثل هذا القرار المهم جدا يجب الاخذ في الاعتبار عدة معايير وبناء عليها يتم اختيار افضل موقع من بين عدة خيارات اخرى متاحة. بناء على ذلك، من المهم ان يكون قرار اختيار موقع المعالجة مبني على طريقة تتبنى تعدد المعايير وذلك لإيجاد افضل موقع على الاطلاق والذي بدوره يجب ان تتوفر فيه الظروف التي حددتها تلك المعايير. هذه الورقة العلمية توضح طريقة تطبيق عملية الـ TOPSIS المبنية على عدة اختبارات لاختيار الموقع الملائم لإنشاء معمل لمعالجة المعادن المستخرجة من منجم Sangan لرواسب الحديد (المرحلة الثانية). من اجل تحقيق هذا الهدف تم اولا اختيار ثلاث مواقع مجدية لإنشاء معمل المعالجة باستخدام نظام المعلومات الجغرافية (GIS) وذلك بعد الأخذ بعين الاعتبار العوامل الجيولوجية والتقنية و الاقتصادية و البيئية. بعد ذلك وبناء على الخبرات العملية والتقنية والمشورة المقدمة من الخبراء ومتخذي القرار تم اقرار اربعة عشرا معيارا وتم تقييم المواقع الثلاثة. وفي النهاية رتبت تلك المواقع حسب الافضلية وتمت التوصية بالموقع الانسب والافضل من بينها.
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References
Buckley JJ (1985) Fuzzy hierarchical analysis. Fuzzy Sets Syst 17:233–247
Chen CT (2000) Extensions of the TOPSIS for group decision making under fuzzy environment. Fuzzy Sets Syst 114:1–9
Chen C-T, Lin C-T, Huang S-F (2006) A fuzzy approach for supplier evaluation and selection in supply chain management. Int J Prod Econ 102(2):289–301
Cooper, W. W., Sieford, L. M. and Tone, K., 2000, Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA Solver Software, Kluwer Academic Publishers
Gligoric Z, Beljic C and Simeunovic V (2009) Shaft location selection at deep multiple orebody deposit by using fuzzy TOPSIS method and network optimization, Expert Systems with Applications
Hwang CL, Yoon K (1981) Multiple attribute decision making. Springer- Verlag, Berlin
Kaufmann A, Gupta MM (1985) Introduction to fuzzy arithmetic: theory and applications. von Nostrand Reinhold, New York
Önüt S, Soner S (2008) Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Manage 28:1552–1559
Saaty TL (1980) The analytic hierarchy process: planning, priority setting and resource allocation. McGraw-Hill, New York
Saghafian S and Hejazi SR (2005) Multi-criteria Group Decision Making Using A Modified Fuzzy TOPSIS Procedure., IEEE COMPUTER SOCIETY.
Saremi M, Mousavi SF, Sanayei A (2009) TQM consultant selection in SMEs with TOPSIS under fuzzy environment. Expert syst Appl 36:2742–2749
Sun CC, Lin GTR (2009) Using fuzzy TOPSIS method for evaluating the competitive advantages of shopping websites. Expert Syst Appl 36:11764–11771
Torfi F, Zanjirani Farahani R and Rezapour S (2009) Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives, Applied Soft Computing.
Wang JW, Cheng CH, Cheng HK (2009) Fuzzy hierarchical TOPSIS for supplier selection. Appl Soft Comput 9:377–386
Yang T, Hung C-C (2007) Multiple-attribute decision making methods for plant layout design problem. Robot Comput-Integr Manuf 23(1):126–137
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning, Information Sciences 8, 199–249 (I), 301–357 (II)
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The authors would like to appreciate Sangan iron ore mine for the kind cooperation in this research.
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Safari, M., Kakaei, R., Ataei, M. et al. Using fuzzy TOPSIS method for mineral processing plant site selection. Arab J Geosci 5, 1011–1019 (2012). https://doi.org/10.1007/s12517-010-0234-y
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DOI: https://doi.org/10.1007/s12517-010-0234-y