A Multi-Criteria Decision Making Approach to Feedstock Selection


  • Funda Samanlioglu Department of Industrial Engineering, Kadir Has University, Kadir Has Caddesi, Cibali, Istanbul, 34083, Turkey


Multi-criteria decision making, fuzzy methods, biodiesel production, feedstock selection.


Selection of the appropriate feedstock for biodiesel production, taking into consideration several potentially conflicting quantitative and qualitative criteria, is a complex multiple-criteria decision making (MCDM) problem that requires an extensive evaluation process of a group of decision makers (DMs). In this paper, as the MCDM method, fuzzy Analytic Hierarchy Process (F-AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS) methods are integrated to evaluate plant based feedstock alternatives for biodiesel production in Turkey. The F-AHP method is used to determine the importance weights of criteria, and the F-TOPSIS method is implemented to evaluate and rank feedstock alternatives with respect to a set of qualitative and quantitative benefit criteria. More specifically, in this paper, plant based feedstocks in Turkey: Sunflower, peanut, cottonseed, canola, safflower, soybean, and poppy seed are evaluated and ranked by decision makers (DMs) with respect to several benefit criteria: Price adequacy, suitability of the plant to the climate and environment, benefits of the plant after processing (the sediment), suitability of the feedstock for technological processing, and yield efficiency, implementing the integrated fuzzy AHP-TOPSIS method.


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How to Cite

Samanlioglu, F. (2018). A Multi-Criteria Decision Making Approach to Feedstock Selection. American Scientific Research Journal for Engineering, Technology, and Sciences, 49(1), 61–75. Retrieved from https://www.asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/4494