دانلود مقاله ISI انگلیسی شماره 50387
ترجمه فارسی عنوان مقاله

مدل های فروشنده - خریدار مدیریت زنجیره تامین با ساختار اطلاعات نامتقارن

عنوان انگلیسی
Seller–buyer models of supply chain management with an asymmetric information structure
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
50387 2010 9 صفحه PDF
منبع

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

Journal : International Journal of Production Economics, Volume 123, Issue 1, January 2010, Pages 146–154

ترجمه کلمات کلیدی
زنجیره تامین فروشنده و خریدار - الگوی اطلاعات متقارن و نامتقارن -
کلمات کلیدی انگلیسی
Seller–buyer supply chain; Symmetric and asymmetric information pattern; Stackelberg game
پیش نمایش مقاله
پیش نمایش مقاله  مدل های فروشنده - خریدار مدیریت زنجیره تامین با ساختار اطلاعات نامتقارن

چکیده انگلیسی

A seller–buyer supply chain represents a network consisting of a seller who wholesales a product to a buyer, who in turn retails it to the consumer. Most seller–buyer supply chains are modeled by non-cooperative and cooperative games under a deterministic and symmetric information pattern. Under a symmetric information pattern, the seller and buyer have complete information on each other's operations. However, in a supply chain, the buyer and seller, being independent entities, have private information about various aspects of their businesses which are not common knowledge. In this paper, several seller–buyer supply chain models are proposed under an asymmetric information pattern. The proposed models rely on the fact that the seller's setup/purchase costs are unknown to the buyer and the buyer withholds certain information related to market demand. The relationships between seller and buyer are modeled by non-cooperative Stackelberg games where buyer and seller take turn as leader and follower. In addition, a semi-cooperative model, where sharing marketing expenditure is used as an incentive strategy to reveal information, is proposed. Finally, numerical examples presented in this paper, including sensitivity analysis of some key parameters, seek to compare results between the different models considered.