Some production models in finance require infinite-dimensional commodity spaces, where efficiency is defined in terms of an ordering cone having possibly empty interior. Since weak efficiency is more tractable than efficiency from a mathematical point of view, this paper characterizes the equality between efficiency and weak efficiency in infinite-dimensional spaces without further assumptions,...

Introduction Not all of the output from any production process might be desirable. Thus, the inclusion of only desirable output might not provide a true picture of the technical efficiency of a decision making unit. Many production processes have a negative side effect, namely the production of undesirable byproducts. A typical example in health is the death of a patient in the course of admini...

As an application of digital concepts, unattended convenience stores are widely disseminated and considered one the trends future business development. It is important consideration for development to determine potential operation efficiency improve inefficient units. This paper establishes a bi-level DEA model with multi-followers uses weak disposability technology deal undesirable intermediat...

We consider words w over the alphabet Σ = { 0 , 1 2 } . It is shown that there are irreducibly square-free of all lengths n except 4,5,7 and 12. Such a word (i.e., it has no repetitions uu as factors), but by removing any one internal letter creates square in word.

data envelopment analysis (dea) has been long employed as a popular methodology to evaluate the performance of various production activities with multiple inputs and outputs. however, an important issue is that the production process in the real world inevitably generates undesirable outputs (like wastes and pollutants) along with desirable outputs. therefore, the undesirable outputs should be ...

The literature on data envelopment analysis (DEA) and, more broadly, production theory employs different notions of efficiency for the characterization boundary points technologies. These include strong and weak (Pareto) efficiency, Farrell input output efficiency. For conventional constant variable returns-to-scale technologies, relationship between has been explored in is well understood now....

Data Envelopment Analysis (DEA) has been long employed as a popular methodology to evaluate the performance of various production activities with multiple inputs and outputs. However, an important issue is that the production process in the real world inevitably generates undesirable outputs (like wastes and pollutants) along with desirable outputs. Therefore, the undesirable outputs should be ...

Congestion is one of the main issues in data envelopment analyses which have particular importance. Recently researches about congestion, whether in economic articles or in Operations Research articles in had grown increasingly. Congestion is a wasteful stage of the production process where outputs are reduced due to excessive amount of inputs. In economics, congestion is very important because...

This paper analyses hospital performance using Data Envelopment Analysis (DEA) and the Malmquist productivity index. We follow two approaches to quantify movements in productivity: (1) the traditional approach that only considers output and input variables; and (2) a more comprehensive approach that incorporates movements in quality and restricts some achievements, if quality is reduced. On the...

Articles in which nonparametric data envelopment analysis (DEA) is applied to estimate the efficiency based on a network structure usually consider desirable intermediary parts that are first stage’s outputs be used as second inputs. In many real-life situations, parameters include and undesirable outputs. This issue has drawn much attention from DEA researchers recent years. The main motivatio...