| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
|---|---|---|---|---|
| 4959978 | 1445963 | 2017 | 3 صفحه PDF | دانلود رایگان |
کلمات کلیدی
1.مقدمه
2. مدل غیر مشارکتی با یک منبع و بازخورد مشترک
شکل 1. ساختار شبکه ای دو مرحله ای در وو و همکاران (2016)
شکل 2. ساختار شبکه ای دو مرحله ای در لیانگ (2006)
3. مدل غیر مشارکتی عمومی
4. نتیجه گیری
جدول 1. نتایج هنگامی که مرحله 1 رهبر فرض می شود
جدول 2. نتایج هنگامی که مرحله 2 رهبر فرض می شود
- Non-cooperative data envelopment analysis model can be transformed into a linear model.
- The computational burden is reduced by not solving a series of linear models.
- Global solution is guaranteed for the linear fractional data envelopment analysis network model.
In the data envelopment analysis (DEA) literature, linear fractional non-cooperative network DEA models for two-stage network structures are often transformed into parametric linear models. The transformed parametric linear models are then solved by computing a series of linear models when the parameter is varied. For example, Wu, Zhu, Ji, Chu and Liang (2016) provide a linear fractional non-cooperative DEA model for analyzing the reuse of undesirable intermediate outputs in a two-stage production process with a shared resources and feedback. They transformed the linear fractional model into a parametric linear model. Such approaches do not guarantee that the global optimal solution is found. We show that (variants of) linear fractional non-cooperative network DEA models can be directly transformed into a linear programing model, without the need for solving parametric linear models. This greatly reduces the computational burden and the global optimal solution is always guaranteed.
Journal: European Journal of Operational Research - Volume 258, Issue 1, 1 April 2017, Pages 398-400