دانلود مقاله ISI انگلیسی شماره 46813
عنوان فارسی مقاله

یک مدل بهینه سازی مبتنی بر الگوریتم ژنتیک برای حمایت از عملیات حمل و نقل سبز

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46813 2014 13 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
A Genetic Algorithm-based optimization model for supporting green transportation operations
منبع

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

Journal : Expert Systems with Applications, Volume 41, Issue 7, 1 June 2014, Pages 3284–3296

کلمات کلیدی
لجستیک معکوس - مسیریابی وسایل نقلیه - الگوریتم ژنتیک - بازیافت - انتشار
پیش نمایش مقاله
پیش نمایش مقاله یک مدل بهینه سازی مبتنی بر الگوریتم ژنتیک برای حمایت از عملیات حمل و نقل سبز

چکیده انگلیسی

Green Logistics (GL) has emerged as a trend in the management of the distribution of goods and the collection of end-of-life products. With its focus on maximizing the economic and environmental value by means of recycling and emission control, GL contributes to the sustainable development of industry but also requires a more comprehensive transportation scheme when conducting logistics services. This study is motivated by the practice of delivering and collecting water carboys. In this paper, a Genetic Algorithm-based optimization model (GOM) is proposed for designing a green transportation scheme of economic and environmental cost efficiency in forward and reverse logistics. Two vehicle routing models with simultaneous delivery and pickup (full or partial pickup) are formulated and solved by a Genetic Algorithm. A cost generation engine is designed to perform a comprehensive cost comparison and analysis based on a set of economic and environmental cost factors, so as to examine the impact of the two models and to suggest optimal transportation schemes. The computational experiments show that the overall cost is evidently lower in the full pickup model. Notably, the impact of product cost after recycling and reusing empty carboys on total cost is more significant than the impact of transportation cost and CO2 emission cost. In summary, the proposed GOM is capable of suggesting a guidance for the logistics service providers, who deal with green operations, to adopt a beneficial transportation scheme so as to eventually achieve a low economic and environmental cost.

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