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Although previous work has demonstrated the ability of large energy storage (ES) units to exercise market power by withholding their capacity, it has adopted modeling approaches exhibiting certain limitations and has not analyzed the dependency of the extent of exercised market power on ES operating properties. In this paper, the decision making process of strategic ES is modeled through a bi-level...
Requirement analysis involves elicitation of suitable functions or operations and relevant data to support software. A requirement analyst examines different alternative options to decide on an optimal alternative option that benefits the stakeholders of the system. The decision making of alternative design option is complicated by the unavailable or incomplete and imprecise input data. Optimisation,...
Modeling the problems facing for further analysis and decision making is often required by service systems and management. A toolbox with up-to-date methodologies may render us more powerful modeling capabilities for better analysis and sounder decisions. Linear conic programming extends the popularly used linear programming models from linearity to non-linearity and from convexity to non-convexity...
This paper presents results of research into the use of models and methods of multicriteria decision making in a fuzzy environment for solving power engineering problems. Two classes of models associated with multiobjective (<X, M> models) and multiattribute (<X, R> models) problems, as well as methods for their analysis are briefly discussed. A review of the authors' results related to...
Data Envelop Analysis (DEA) is method for evaluating management efficiency of DMU (Decision Making Unit). DEA can analyze DMU's characteristic of data by assigning variable weight to each input and output elements. However the more the number of input and output elements is, the more complex assigning weight is. So, there is a problem that when the number of input and output elements is so large,...
Based on analyzing more than one DEA models, the paper offers a new DEAHP/AHP model which can rank all the DMUs when its AHP judgment completely meets the consistent conditions.
Two-stage production process is a fundamental production form in industry. The efficiency measurement that only considers the initial inputs and final outputs is generally inadequate since it is not inclusive and ignores the inner structure of it. In this paper, we propose a two-stage DEA model while the inner structure is incorporated for efficiency evaluation under variable returns to scale. The...
Nowadays a Website for e-Commerce has given the traditional companies much more opportunities in contacting customers more easily, implementing business to the new market, e-Commerce, increasing the profit, and gaining competitiveness. Even though lots of studies have given efforts to examine Website quality factors affecting e-Commerce success and measuring it, there is a lack of scarcity of models...
Agriculture and grain production is the focus all over the world. The agriculture, rural area, peasant are the basis of Chinese modernization construction. The scientific management and evaluation of agriculture grain production could raise the utilization rate of resources effectively. There are two main classes of the methods to the measurement and analysis of the performance which are nonparametric...
To extend the sensitivity analysis for DEA (Data Envelopment Analysis), this paper proposes FA-DEA (Frontier Assignment based DEA). The basic idea of FA-DEA is to allow decision maker to decide frontier intentionally while the fundamental DEA and super-DEA decides frontier computationally. Then FA-DEA provides chances to exclude extra-influential DMU (Decision Making Unit) and finds extra-ordinal...
Fully utilizing the structural data and nonstructural data in the age of informationization and obtaining the efficient information using data mining technique to direct the decision making in regional management have become more important in China. Discriminant analysis is a typical data mining method. In the view of knowledge management in different regions, discriminant analysis based on DEA model...
In present construction market situation, tender is the greatest way to win the bidding for construction enterprises. According to the rules of the tendering documents, construction enterprises must estimate basic price limitation on bidding by simulating according to the method of bidding evaluation except necessarily responding the other conditions of the bid documents, then the suitable bidding...
The increasing disasters have led to the development of the disruption management. It is important to attempt to measure the relative efficiency of the input and output, which are from a group of nearly homogeneous departments in the disruption. The global data envelopment analysis (GDEA) methodology enables to aggregate performance results in order to obtain an overall performance measure through...
To effectively evaluate decision making units' (DMUs) eco-efficiencies, this paper presents a new approach based on additive DEA model, which can evaluate eco-efficiency without requiring any data transformation or user specified direction vector. This is achieved by defining a ranking efficiency measure which can be estimated by solving the additive DEA model. A numerical example is used to show...
Data envelopment analysis (DEA) is an effective technique for measuring the relative efficiency of a set of homogeneous decision-making units (DMUs). The generalized data envelopment analysis (GDEA) model, which contains four basic DEA models, is an important DEA model. When calculating the efficiency of each DMU, the GDEA model requires crisp input and output data, which are often difficult to obtain...
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