There are many Cloud Service Providers (CSPs) in the global cloud computing market and customers may need to use scientific decision making methods for evaluating and ranking the CSPs according to ...their own requirements. Among the several approaches that have been proposed to solve the CSPs evaluation and ranking problem, there are Multi Attribute Decision Making (MADM) methods. One of the most used MADM method is Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS). In this paper, we extend the TOPSIS method by using the Minkowski distance. We propose an Extended TOPSIS (E-TOPSIS) approach by varying the parameter p in the Minkowski distance. The applicability of the proposed E-TOPSIS approach is presented in a case study for CSPs evaluation and ranking in relation to a set of Service Measurement Index – SMI criteria. An analysis of E-TOPSIS solutions and the CSPs order change relative to parameter p variation is realized. A comparison of the E-TOPSIS solutions with TOPSIS solution is presented.
An evaluation system should be: simple, easy to verify, stable, transparent, coherent, universal and flexible. To quantify the results of the scientific research activity scientometric indicators ...were introduced. These are quantitative indicators such as the number of published articles, the number of citations received by a published paper, the number of projects won by competition, the impact factor, the Hirsch indicator. Evaluation of research performance is an increasingly important task in the era of digitalization, free access at information and diversification of specialized networks. A wide variety of individual and institutional websites are now available to maintain the global scientific community in relation to ongoing research projects, published articles, conferences, and collaboration opportunities. In the article, an analysis of the evaluation of the performance in scientific research is carried out by bibliometric and scientometric indicators. Online research networks and tools are analyzed, focusing on the bibliometric indicators provided by them. There are web-based research platforms that enable researcher profiles. Comparisons are made between software tools for research networks.
Modeling and simulation are some of the most advanced and powerful tools for analyzing operational performance in companies to support continuous adaptation to market needs. There is a wide range of ...simulation software packages available on the market. They offer a large variety of applications, have different prices and features and use different modeling approaches and strategies. This article develops a approach based on a multi-criteria method that helps companies select the right simulation software, that will improve the company's productivity. Because the problem of selecting a software product is a multicriteria decision problem with contradictory objectives, we shall use the extension theory and the MatterElement (ME) method for solving it. The ME method for several alternatives and a single level of the criteria is presented in steps. The multi-criteria approach is applied for a case study connected with selection of simulation software. Three alternatives are evaluated according to 17 criteria that are of interest to the manager. The approach offers a structured way for describing the problem that takes into account the criteria related to the features of the simulation software. The weights associated with the criteria are chosen in such a way as to ensure a correct evaluation of the alternatives in order to achieve a set of objectives.
In this paper is presented the functional connection of these systems and subsystems which involve the use of several concepts such as the principle of Swedish materials Resource Management, Total ...Productive Maintenance that are related to productivity improvement and Total Quality Management, Excellence Industrial that are related to improvement and quality control. All enterprises want an increase in productivity, for this reason each company must to take into account: sources of which available, competitors and the conditions information of which available. The purpose of this paper is to define the intermediate state of machinery and equipment production, to identify incoming flows needed for the products that meet customer requirements using the proper subsystem logistics of production. Logistics, in this way, aims at integrating movement control flows in an enterprise strategy, conditioning: Increased productivity, control costs and increase production quality.
A common challenge in the theory of portfolio selection is that certain assets have shorter return histories than others. Consequently, historical data of the returns have missing data. This paper ...deals with portfolio selection models of mean-variance type in which missing data exist. Two simple methods for constructing a vector and a matrix starting from a matrix of rate of returns are presented. One considers a standard minimum variance model in which the vector and the matrix built replace the vector of means and the matrix of covariance. Several numerical experiments are made and the effect of missing data on the efficient frontiers associated to the minimum variance models is investigated.
The paper presents a minimum risk model, inspired from the financial portfolio theory, for the selection of a software vendor. The performance of the software products offered by potential software ...vendors is evaluated by several experts regarding several criteria. The minimum risk model has several constraints. One of the constraints is a complementarity constraint. Other constraints are connected with the available budget and the expected performance of the software products. A procedure for solving the minimum risk model is presented and a numerical example is analyzed.
In this paper is presented a decision support tool for crop planning under risk. The software tool is based on a portfolio selection model for crop planning. The portfolio selection model is a ...minimum financial risk model. It takes into account climate risk and market risk. The decision variable describes the land allocation to crops. The model was solved with the MINLP solver from GAMS. The decision support tool has an interface that facilitates the construction of the input data collection and the user parameters. It gives a flexible way of working and is mainly user oriented. Numerical results obtained with this Decision Support tool are analyzed.
We formulate and study a multiobjective programming approach for production processes which implements suitable constraints on pollutant emissions. We consider two alternative optimization problems: ...(a) minimum pollution risk; (b) maximum expected return. For each pollutant, we define three different contamination levels: (a) the desirable or the target pollution level, (b) the alarm (warning or critical) level and (c) the maximum admissible (acceptable) level, and introduce penalties proportional to the amounts of pollutants that exceed these levels. The objective function of the minimum pollution risk problem is not smooth since it contains positive parts of some affine functions, resulting in mathematical difficulties, which can be solved by formulating an alternative linear programming model, which makes use of additional variables and has the same solutions as the initial problem. We investigate various particular cases and analyze a numerical example for a textile plant.
In this paper we present a methodology for determining the value of the diameters of the guide column of a press which has a construction with closed frame. For determining these values is necessary ...to go through several stages namely: the simplified representation of the press, the representation the forces requesting the four columns, the determination the values these forces, the determination of maximum bending moment, and finally. by obtaining a determined static system and using the Mohr-Maxwell and rule Veresceaghincan get columns diameter values
In this paper is presented a statistical method for calculating the establishment of tolerances of a chain of complex dimensions, method which is applied quickly and efficiently by a computer ...program. The question that arises is the influence of a reducer shaft axis non-parallelism that can lead to some shortcomings in its operation. These deficiencies are based on the size of deviation from parallelism of the axes of the two shafts. For their removal was necessary to study the chain of dimensions which was formed to mount the type of reducer 1400-30/7ERC. Using the data obtained in practice by running a computer program achieved CALTOL was determined statistical tolerance deviation from parallelism between the axis reducer shafts.
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