Resource Allocation through Context-dependent data envelopment analysis

نویسندگان

  • M. Ahadzadeh Namin Department of Mathematics, Shahr-e –Qods Branch, Islamic Azad University, Tehran, Iran.
  • N. Ebrahimkhani Ghazi (a) Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran.
چکیده مقاله:

System designs, optimizing resource allocation to organization units, is still being considered as a complicated problem especially when there are multiple inputs and outputs related to a unit. The algorithm presented here will divide the frontiers obtained with DEA. In this way, we investigate a new approach for resource allocation.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

resource allocation through context-dependent data envelopment analysis

system designs, optimizing resource allocation to organization units, is still being considered as a complicated problem especially when there are multiple inputs and outputs related to a unit. the algorithm presented here will divide the frontiers obtained with dea. in this way, we investigate a new approach for resource allocation.

متن کامل

Context-Dependent Data Envelopment Analysis-Measuring Attractiveness and Progress with Interval Data

Data envelopment analysis (DEA) is a method for recognizing the efficient frontier of decision making units (DMUs).This paper presents a Context-dependent DEA which uses the interval inputs and outputs. Context-dependent approach with interval inputs and outputs can consider a set of DMUs against the special context. Each context shows an efficient frontier including DMUs in particular l...

متن کامل

Resource re-allocation at network units by using of bi-level data envelopment analysis

The lack of renewable primary resources is one of the most serious challenges in recent decades. So under this circumstance, managers are looking for appropriate solutions for the optimal use of these resources to improve the efficiency of the under management units.  One of the most widely used techniques in finding the optimal resource is data envelopment analysis (DEA). So in this paper, in ...

متن کامل

Context-Dependent Data Envelopment Analysis with Interval Data

Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision making units (DMUs) on the basis of multiple inputs and outputs. The context-dependent DEA is introduced to measure the relative attractiveness of a particular DMU when compared to others. In real-world situation, because of incomplete or non-obtainable information, the data (Input and ...

متن کامل

Modeling data envelopment analysis (DEA) efficient location/allocation decisions

Many types of facility location/allocation models have been developed to find optimal spatial patterns with respect to location criteria such as: cost, time, coverage, and access. In this paper we develop and test location modeling formulations that utilize aspects of the data envelopment analysis (DEA) efficiency measure to find optimal and efficient facility location/allocation patterns. Solv...

متن کامل

Cost allocation and convex data envelopment

This paper considers allocation rules. First, we demonstrate that costs allocated by the Aumann-Shapley and the Friedman-Moulin cost allocation rules are easy to determine in practice using convex envelopment of registered cost data and parametric programming. Second, from the linear programming problems involved it becomes clear that the allocation rules, technically speaking, allocate the non...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 2  شماره 3

صفحات  423- 429

تاریخ انتشار 2014-08-14

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

کلمات کلیدی

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023