in the real world there are groups which composed of independent units. the conventional data envelopment analysis(dea) model treats groups as units, ignoring the operation of individual units within each group.the current paper, investigates parallel system network approach proposed by kao and modifies it. as modi ed kao' model is more eligible to recognize ecient groups, a new ranking m...

The aim of this work is to posit a model evaluate the efficiency system urban public libraries and examine impact certain contextual variables on level performance. We take System Public Libraries in city Medellin (Colombia) as case study consider production function which displays three main characteristics. First, it complete spans different activities undertaken by these institutions, not on...

This research applies Data Envelopment Analysis (DEA) methodology to evaluate the efficiency of units within a large-scale network of petroleum distribution facilities in the USA. Multiple inputs and outputs are incorporated into a broad set of DEA models, yielding a comprehensive approach to evaluating supply chain efficiency. This study empirically separates three recognized, important and ye...

Through an additive efficiency decomposition (AED) approach in data envelopment analysis (DEA), we evaluate the management and investment efficiencies of Investment Trust Corporations (ITCs) in Taiwan for the period 2007–2011. Furthermore, the AED-DEA and a network-based ranking approach in DEA are jointly used to rank and identify ITCs that can be treated as benchmarks. Frontier projections fo...

Data Envelopment Analysis (DEA) is a methodology that computes efficiency values for decision making units (DMU) in a given period by comparing the outputs with the inputs. In many cases, there are some time lag between the consumption of inputs and the production of outputs. For a long-term research project, it is hard to avoid the production lead time phenomenon. This time lag effect should b...

An algorithm stral:egy is proposed for use with the assurance region (AR) approach in data envelopment analysis (DEA). The strategy addressed in this study characterizes and cla.5sifies all decision making units (DMUs) into several subsets, using the revised simplex method of linear programming. Then, each DMU subset is solved by a different algorithm. Experimental studies consisting of randoml...

Reaction of m-amino-benzoic acid (MABA), di-ethano-lamine (DEA) and MnCl2·4H2O led to the formation of the title salt, [Mn(C4H11NO2)2](C7H6NO2)2. In the complex cation, the Mn(2+) ion is located on an inversion centre and is coordinated by two symmetry-related tridentate DEA mol-ecules, leading to the formation of a slightly distorted MnN2O4 octa-hedron. The MABA(-) counter-anions are connected...

We examined the ability of nitric oxide (NO) to stimulate the ADP-ribosylation of proteins from the mouse macrophage cell line ANA-1. To demonstrate a specific effect of NO, we used a novel compound named diethylamine dinitric oxide (DEA/NO; 1,1-diethyl-2-hydroxy-2-nitrosohydrazine, sodium salt; [Et2NN(O)NO]Na), which releases NO in aqueous solution at neutral pH. DEA/NO stimulated the ADP-ribo...

Abstract Nowadays among many evaluation methods, data envelopment analysis has widely used to evaluate the relative performance of a set of Decision Making Units (DMUs). Data Envelopment Analysis (DEA(is a mathematical tool for evaluating the relative efficiency of a set Decision Making Units (DMUs), with multiple inputs and outputs. Traditional DEA models treat with each DMU as a “black box" t...