Nowadays, forward-thinking companies move beyond conventional structures of organizations and consider all parties the supply chain. The objective this paper is to present an adaptive network data envelopment analysis (DEA) model evaluate overall divisional efficiency sustainable chains in presence desirable undesirable outputs. Our DEA can assess given managerial natural disposability. Also, i...

The deprotonation kinetics of the DEA--C02 and the DIPA-COZ zwitterions have been studied in aqueous blends of an&es at 298 K. Amine mixtures investigated were: DEA-TEA, DEA-MDEA. DEL-DMMEA, DEA-DEMEA, DIPA-TEA, DIPA-MDEA, DIPA-DMME~ DIPA-DEMEA. FOG each blend the zwitterion deprotonation constant of the additonal base present in solution (i.e. the tertiary amine) was determined. The observed d...

Data envelopment analysis (DEA) is a method frequently used to evaluate relative firm performance. However, high values in a few indicators can lead to a company being regarded as ‘efficient’, despite valuing poorly in other essential indicators. The Inefficiency Countervailed DEA (IC-DEA) method is thus developed. The method first defines an inefficient frontier using the proposed Reverse DEA ...

Planning of reactive power sources is a serious issue for secure and economic operation of power systems. In this paper, a bi-level strategy is proposed to optimize the Reactive Power Planning (RPP) problem. In the first level, the weakest buses are selected to be the optimal placements to install the additional VAR sources and its corresponding suitable sizes are determined using a proposed Re...

Today, information networks play an important role in supply chain management. Therefore, in this article, clustering-based routing protocols, which are one of the most important ways to reduce energy consumption in wireless sensor networks, are used to optimize the supply chain informational cloud network. Accordingly, first, a clustering protocol is presented using self-organizing map neu...

This paper concentrates on methods for comparing activity units found relatively efficient by data envelopment analysis (DEA). The use of the basic DEA models does not provide direct information regarding the performance of such units. The paper provides a systematic framework of alternative ways for ranking DEA-efficient units. The framework contains criteria derived as by-products of the basi...

Some specific geometric data envelopment analysis (DEA) models are well known to the researchers in DEA through so-called multiplicative or log-linear efficiency models. Valuable properties of these models were noted by several authors but the models still remain somewhat obscure and rarely used in practice. The purpose of this paper is to show from a mathematical perspective where the geometri...

Profitability as the most important factor in decision-making, has always been considered by stake­holders in the company's profitability. Also can be a basis for evaluating the performance of the managers. The ability to predict the profitability can be very useful to help decision-makers. That's why one of the most important issues is the expected profitability. The importance of these foreca...