دانلود مقاله ISI انگلیسی شماره 51615
عنوان فارسی مقاله

توسعه سیستم لجستیک معکوس مبتنی بر RFID

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
51615 2009 9 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Development of RFID-based Reverse Logistics System
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 36, Issue 5, July 2009, Pages 9299–9307

کلمات کلیدی
لجستیک معکوس؛ RFID؛ الگوریتم ژنتیک؛ مدیریت زنجیره تامین
پیش نمایش مقاله
پیش نمایش مقاله توسعه سیستم لجستیک معکوس مبتنی بر RFID

چکیده انگلیسی

Reverse logistics, which is the management or return flow due to product recovery, goods return, or overstock, form a closed-loop supply chain. The success of the closed-loop supply chain depends on actions of both manufacturers and customers. Now, manufacturers require producing products which are easy for disassembly, reuse and remanufacturing owing to the law of environmental protection. On the other hand, the number of customers supporting environmental protection by delivering their used products to collection points is increasing. According to the findings, the total cost spent in reverse logistics is huge. In order to minimize the total reverse logistics cost and high utilization rate of collection points, selecting appropriate locations for collection points is critical in reverse logistics. This paper proposes a genetic algorithm to determine such locations in order to maximize the coverage of customers. Also, the use of RFID is suggested to count the quantities of collected items in collection points and send the signal to the central return center. This can facilitate the vehicle scheduling for transferring the items from collection points to the return center. The significance of this research is the proposal of RFID-based reverse logistics framework and optimization of locations of collection points which allow economically and ecologically reasonable recycling. Simulation results indicated that the genetic algorithm is able to produce good-quality solutions in terms of coverage of collection points by choosing suitable locations for collection points and RFID can help detect the quantity of returned products so as to increase efficiency of logistics operations.

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