IJE TRANSACTIONS B: Applications Vol. 27, No. 8 (August 2014) 1205-1214   

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M. Yahyaei, M. Bashiri and Y. Garmeyi
( Received: March 03, 2013 – Accepted: November 07, 2013 )

Abstract    Third party service providers are locating logistic hub for operating their tasks. Finding a proper location helps them to have better performance in competitive environment. Multiple characteristics of proper location selection faces the decision maker to have a multi criteria decision making problem. Since the location decision is a long term planning, the robustness of the decision is getting more highlighted so a Meta-model can be used to reduce uncertainty effect. Hub facilities are reducing the serving cost due to economies of scale. In this paper in order to enhance such effect we applied the clustering analysis to find similar regions by consideration of different characteristics. The approach is implemented in an Iranian case study and the validity of the approach has been investigated.


Keywords    Logistic Hub, Multi criteria decision making, TOPSIS, Statistical Factorial Design, Clustering analysis,Meta-model


چکیده    شرکت­های خدمات لجستیکی طرف سوم برای اجرای وظایف لجستکی اقدام به برپایی­هاب­های لجستیکی می­نمایند. انتخاب بهترین مکان برای احداث این هاب­ها موجب عملکرد بهتر این شرکت­ها در فضای رقابتی می­شود. در نظر گرفتن ویژگی­های چندگانه­ برای انتخاب مکان مناسب باعث می­شود تا تصمیم­گیرنده با یک مساله چند ­معیاره روبه­رو باشد. از آنجایی که تصمیمات مکانیابی جزء برنامه­های بلند مدت هستند، استواری در اینگونه تصمیمات پررنگتر است. بنابراین استفاده از فرامدل می­تواند باعث کاهش اثر عدم قطعیت شود. با توجه به وجود صرفه­جوئى­هاى مقیاس در تسهیلات هاب، هزینه­های خدماتی آنها کاهش می­یابد. در این مقاله برای افزایش این اثر، از تحلیل خوشه­بندی برای پیدا کردن مناطق مشابه استفاده شده است تا ویژگی­های مختلف مناطق در آن ملاحظه شود. این رویکرد برای مطالعه مورد کشورایران استفاده شده است و اعتبار نتایج آن مورد تحقیق قرار گرفته است.



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