دانلود مقاله ISI انگلیسی شماره 44570
ترجمه فارسی عنوان مقاله

چارچوب مدل سازی عمومی برای ارزیابی شبکه ای سیاست های مدیریت خون : تجربه خدمات خون کانادا

عنوان انگلیسی
A generic modelling framework to evaluate network blood management policies: The Canadian Blood Services experience
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
44570 2014 13 صفحه PDF
منبع

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

Journal : Operations Research for Health Care, Volume 3, Issue 3, September 2014, Pages 116–128

ترجمه کلمات کلیدی
موجودی خون - مدل سازی شبیه سازی - شبکه توزیع - روش پاسخ سطح - شبیه سازی دوباره قابل استفاده
کلمات کلیدی انگلیسی
Blood inventory; Simulation modelling; Network distribution; Response-surface methods; Re-useable simulations
پیش نمایش مقاله
پیش نمایش مقاله  چارچوب مدل سازی عمومی برای ارزیابی شبکه ای سیاست های مدیریت خون : تجربه خدمات خون کانادا

چکیده انگلیسی

Canadian Blood Services produces and distributes approximately 850,000 units of red cells annually. These units are distributed through ten production and/or distribution sites. Each distribution site acts as a regional hub serving between 20 and 110 hospital customers. Distribution sites hold a target inventory that is based on an integer number of median days demand on hand. In this paper, we report on the development and use of a simulation based methodology to evaluate network inventory policies for regional blood distribution sites in Canada. A generic framework was developed to represent each of the ten different regional networks. The modelling approach was validated by comparing model results against data from two networks. Once validated, ten instances were developed. For each model instance, a set of experiments was conducted, from which response surfaces were created. Non-linear optimization methods were applied to identify optimal supplier/consumer inventory policies using the response surfaces. We conclude that a generic modelling framework can be useful for regional blood supply chains, but suggest that at least four instances are necessary to recoup the efforts of building a reusable model.