کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1697459 1012077 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An optimization model for reverse logistics network under stochastic environment by using genetic algorithm
ترجمه فارسی عنوان
یک مدل بهینه سازی برای شبکه لجستیک معکوس در محیط تصادفی با استفاده از الگوریتم ژنتیک
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی

Highlight
• A probabilistic model for the design of a reverse logistics network is proposed.
• Proposed model considers the minimizing of total shipping cost in reverse logistics.
• The priority-based GA was utilized which is robust method to represent logistics network problems.

Recovery of used products has become increasingly important recently due to economic reasons and growing environmental or legislative concern. Product recovery, which comprises reuse, remanufacturing and materials recycling, requires an efficient reverse logistic network. One of the main characteristics of reverse logistics network problem is uncertainty that further amplifies the complexity of the problem. The degree of uncertainty in terms of the capacities, demands and quantity of products exists in reverse logistics parameters. With consideration of the factors noted above, this paper proposes a probabilistic mixed integer linear programming model for the design of a reverse logistics network. This probabilistic model is first converted into an equivalent deterministic model. In this paper we proposed multi-product, multi-stage reverse logistics network problem for the return products to determine not only the subsets of disassembly centers and processing centers to be opened, but also the transportation strategy that will satisfy demand imposed by manufacturing centers and recycling centers with minimum fixed opening cost and total shipping cost. Then, we propose priority based genetic algorithm to find reverse logistics network to satisfy the demand imposed by manufacturing centers and recycling centers with minimum total cost under uncertainty condition. Finally, we apply the proposed model to a numerical example.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Manufacturing Systems - Volume 33, Issue 3, July 2014, Pages 348–356
نویسندگان
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