کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11028867 | 1646701 | 2019 | 46 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm
ترجمه فارسی عنوان
یک مدل برنامه ریزی ریاضی فازی قوی برای طراحی شبکه شبکه زنجیره ای بسته و الگوریتم راه حل بهینه سازی نهنگ
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کلمات کلیدی
حلقه بسته طراحی شبکه زنجیره تامین، کدگذاری مبتنی بر اولویت اصلاح شده، عدم قطعیت، الگوریتم بهینه سازی نهنگ،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
The closed-loop supply chain (CLSC) management as one of the most significant management issues has been increasingly spotlighted by the government, companies and customers, over the past years. The primary reasons for this growing attention mainly down to the governments-driven and environmental-related regulations which has caused the overall supply cost to reduce while enhancing the customer satisfaction. Thereby, in the present study, efforts have been made to propose a facility location/allocation model for a multi-echelon multi-product multi-period CLSC network under shortage, uncertainty, and discount on the purchase of raw materials. To design the network, a mixed-integer nonlinear programming (MINLP) model capable of reducing total costs of network is proposed. Moreover, the model is developed using a robust fuzzy programming (RFP) to investigate the effects of uncertainty parameters including customer demand, fraction of returned products, transportation costs, the price of raw materials, and shortage costs. As the developed model was NP-hard, a novel whale optimization algorithm (WOA) aimed at minimizing the network total costs with application of a modified priority-based encoding procedure is proposed. To validate the model and effectiveness of the proposed algorithm, some quantitative experiments were designed and solved by an optimization solver package and the proposed algorithm. Comparison of the outcomes provided by the proposed algorithm and exact solution is indicative of high quality performance of the applied algorithm to find a near-optimal solution within the reasonable computational time.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 116, February 2019, Pages 454-471
Journal: Expert Systems with Applications - Volume 116, February 2019, Pages 454-471
نویسندگان
Javid Ghahremani-Nahr, Ramez Kian, Ehsan Sabet,