IJE TRANSACTIONS C: Aspects Vol. 28, No. 6 (June 2015) 922-931    Article in Press

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M. Eskandarpour and A. Hasani
( Received: January 25, 2015 – Accepted: June 11, 2015 )

Abstract    In the last two decades, product recovery systems have received increasing attention due to several reasons such as new governmental regulations and economic advantages. One of the most important activities of these systems is to assign returned products to suitable reverse manufacturing alternatives. Uncertainty of returned products in terms of quantity, quality, and time complicates the decision making process. In this study, a new approach based on Evidential Reasoning Approach (ERA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed to deal with alternative (recovery system) selection via considering a comprehensive model in reverse logistics. Application of ERA helps us to take into account the experts’ quantitative and qualitative opinions in an uncertain environment due to various reasons such as incomplete assessment as well as imprecise and missing information simultaneously. Then, TOPSIS is used to rank alternatives that were evaluated by ERA. Finally, a case study in the automotive industry is used to demonstrate the efficiency of the proposed method in selecting suitable reverse manufacturing alternatives.


Keywords    Product Recovery, Reverse Logistic, TOPSIS, ERA, Incomplete Assessment, Group-AHP


چکیده    در طی دو دهه اخیر، سیستم احیا محصولات بسیار مورد توجه واقع شده است به دلایل متنوعی همچون الزامات قانونی و مزایای اقتصادی. یکی از مهم‌ترین فعالیت‌ها در این سیستم‌ها، تخصیص محصولات برگشتی به گزینه‌های مناسب برای مدیریت آن‌ها است. عدم قطعیت محصولات برگشتی در مقدار، کیفیت، و زمان، فرایند تصمیم‌سازی را پیچیده می‌سازد. در این مقاله، یک رویکرد جدید بر پایه روش استدلال شهودي و تاپسیس برای مواجه با انتخاب گزینه‌های ممکن در یک مدل جامع برای سیستم لجستیک برگشتی ارایه شده است. استفاده از روش استدلال شهودي به درنظر گرفتن انتخاب‌های کمی و کیفی خبرگان در یک محیط غیرقطعی به دلایل مختلف نظیر ارزیابی ناقص، اطلاعات مبهم و ازدست رفته به صورت همزمان، کمک می‌نماید. سپس از روش تاپسپس برای رتبه‌بندی گزینه‌های ارزیابی شده توسط رویکرد استدلال شهودی استفاده شده است. در نهایت، یک نمونه موردی به‌منظور نمایش کارایی مدل و روش تصمیم‌گیری ارایه‌شده برای انتخاب گزینه‌های مناسب برای مدیریت جریان برگشتی در صنعت خودروسازی بررسی شده است.



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