دانلود مقاله ISI انگلیسی شماره 51085
عنوان فارسی مقاله

مدل نظری بازی استکلبرگ برای بهینه سازی خانواده محصول معماری با در نظر گرفتن زنجیره تامین

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
51085 2016 18 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
A Stackelberg game theoretic model for optimizing product family architecting with supply chain consideration ☆
منبع

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

Journal : International Journal of Production Economics, Volume 172, February 2016, Pages 1–18

کلمات کلیدی
خانواده محصولات معماری؛ پیکربندی زنجیره تامین؛ بازی استکلبرگ ؛ بهینه سازی دوسطحی؛ الگوریتم ژنتیک تو در تو
پیش نمایش مقاله
پیش نمایش مقاله مدل نظری بازی استکلبرگ برای بهینه سازی خانواده محصول معماری با در نظر گرفتن زنجیره تامین

چکیده انگلیسی

Planning of an optimal product family architecture (PFA) plays a critical role in defining an organization׳s product platforms for product variant configuration while leveraging commonality and variety. The focus of PFA planning has been traditionally limited to the product design stage, yet with limited consideration of the downstream supply chain-related issues. Decisions of supply chain configuration have a profound impact on not only the end cost of product family fulfillment, but also how to design the architecture of module configuration within a product family. It is imperative for product family architecting to be optimized in conjunction with supply chain configuration decisions. This paper formulates joint optimization of PFA planning and supply chain configuration as a Stackelberg game. A nonlinear, mixed integer bilevel programming model is developed to deal with the leader–follower game decisions between product family architecting and supply chain configuration. The PFA decision making is represented as an upper-level optimization problem for optimal selection of the base modules and compound modules. A lower-level optimization problem copes with supply chain decisions in accordance with the upper-level decisions of product variant configuration. Consistent with the bilevel optimization model, a nested genetic algorithm is developed to derive near optimal solutions for PFA and the corresponding supply chain network. A case study of joint PFA and supply chain decisions for power transformers is reported to demonstrate the feasibility and potential of the proposed Stackelberg game theoretic joint optimization of PFA and supply chain decisions.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.