MONITORING OF THE FERMENTATION PROCESS IN VARIOUS TYPES OF WINE

A classical approach to monitoring the fer-mentation of grape must based on the use of the areometric method is considered. Based on the processing of the data of measuring the refractive index and density of grape must, as well as data on the physicochemical composi-tion of grape must during fermentation, meth-odological approaches have been developed to create methods for monitoring the composi-tion of the fermenting must using refractomet-ric and refractodensimetric methods of analy-sis. The results of the work can become the basis for the development of a non-destructive express method for determining the volume fraction of ethyl alcohol and the mass concentration of sugars in fermenting must based on the standard equipment of the laboratory of wine-making enterprises, and for the improvement of technical specifications for the manufacture of a portable device for determining the concentration of alcohol and sugar content, based on the simultaneous measuring the refractive index and density of liquid media.

A bi-level multi-objective data envelopment analysis model for estimating profit and operational efficiency of bank branches

Data Envelopment Analysis (DEA) is a powerful method for analyzing the performance of decision making units (DMUs). Traditionally, DEA is applied for estimating the performance of a set of DMUs through measuring a single perspective of efficiency. However, in recent years, due to increasing competition in various industries, modern enterprises focus on enhancing their performance by measuring efficiencies in different aspects, separately or simultaneously. This paper proposes a bi-level multi-objective DEA (BLMO DEA) model which is able to assess the performance of DMUs in two different hierarchical dimensions, simultaneously. In the proposed model, we define two level efficiency scores for each DMU. The aim is to maximize these two efficiencies, simultaneously, for each DMU. Since the objective functions at both levels are fractional, a fuzzy fractional goal programming (FGP) methodology is used to solve the proposed BLMO DEA model. The capability of the proposed model is illustrated by a numerical example. Finally, to practically validate the proposed model, a real case study from 45 bank’s branches is applied. The results show that the proposed model can provide a more comprehensive measure for efficiency of each bank’s branch based on simultaneous measuring of two different efficiencies, profit and operational efficiencies, and by considering the level of their importance.