Browsing by Author "Ozgen, Arzum"

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Citation Count: 7
Joint selection of customs broker agencies and international road transportation firms by a fuzzy analytic network process approach
(Pergamon-elsevier Science Ltd, 2011) Ozgen, Arzum; Tanyas, Mehmet
This paper considers a special case for logistics activities in Turkey: a joint selection of customs broker agency and international road transportation firm. For this purpose a decision-making team has been constituted, including members of logistics and finance departments and an academic. They determined related quantitative and qualitative criteria for the selection process. To cover the vagueness of related qualitative data, a fuzzy analytic network process (FANP) based model was formulated and applied to the decision-making process. The FANP model encompasses and substantially resolves the ambiguity and imprecision of the pairwise comparison process. By using the proposed FANP structure, the joint selection problem could be solved in a much easier way by also considering the inter-dependencies related to criteria. (C) 2011 Elsevier Ltd. All rights reserved.
Citation Count: 43
A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment
(Atlantis Press, 2011) Ozgen, Arzum; Tuzkaya, Gulfem; Tuzkaya, Umut R.; Ozgen, Dogan
Tools and machines have an important effect on the manufacturing operations' effectiveness and the selection process of appropriate tools and machines is a complex issue with the consideration of multiple criteria. Considering the complexity of the problem area and the difficulties in machine tools evaluation processes, the main purpose of this study is to present a novel and effective methodology for machine tool selection problem. The proposed methodology constituted for this aim combines the modified DELPHI method, AHP (Analytical Hierarchy Process) and PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) approaches with fuzzy sets theory to be able to reflect the vagueness related to judgment of the decision-maker(s). A real life application is realized for pressing machine selection problem of a fixing products manufacturer from Turkey, Istanbul. The results of the proposed approach are compared with the results of fuzzy AHP-fuzzy TOPSIS approach. Additionally, sensitivity analyses are realized to show the changes in the results with the change in the criteria weights.