دانلود مقاله ISI انگلیسی شماره 137890
ترجمه فارسی عنوان مقاله

بازیابی محصول دو طرفه در زنجیره تامین حلقه بسته با نشانه گذاری متغیر تحت قیمت و تقاضای وابسته به کیفیت

عنوان انگلیسی
Two-way product recovery in a closed-loop supply chain with variable markup under price and quality dependent demand
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
137890 2017 40 صفحه PDF
منبع

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

Journal : International Journal of Production Economics, Volume 183, Part A, January 2017, Pages 259-272

ترجمه کلمات کلیدی
بازیافت دو طرفه، پیشنهاد بورس کیفیت محصول، نشانه متغیر، زنجیره تامین حلقه بسته،
کلمات کلیدی انگلیسی
Two-way product recovery; Exchange offer; Product quality; Variable markup; Closed-loop supply chain;
پیش نمایش مقاله
پیش نمایش مقاله  بازیابی محصول دو طرفه در زنجیره تامین حلقه بسته با نشانه گذاری متغیر تحت قیمت و تقاضای وابسته به کیفیت

چکیده انگلیسی

This article considers a two-way product recovery in a two-echelon closed-loop supply chain which comprises one manufacturer and one retailer for trading a single product. The market demand of the product is linearly dependent on selling price and product quality. The retailer sets the selling price with a variable markup on the wholesale price of the manufacturer. The manufacturer also sets his wholesale price with a fixed markup on the production cost of the product. The retailer recovers the used product in two ways. He collects from consumers the used products, which is a fraction of newly sold products in the forward channel. He also collects the used products through an exchange offer and replaces a fraction of the collected used products by new ones. We analyze the proposed model under four different decision structures: decentralized (Nash game), manufacture-led and retailer-led Stackelberg games and centralized (cooperative game) structures. We then compare these policies to identify the best policy. We also examine the feasibility of the cooperative game through a bargaining model. To examine the effects of key model-parameters on the decisions, we perform a sensitivity analysis for a numerical example.