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Finding and classifying all efficient solutions for a Bi-Objective Integer Linear Programming (BOILP) problem is one of the controversial issues in Multi-Criteria Decision Making problems. The main aim of this study is to utilize the well-known Data Envelopment Analysis (DEA) methodology to tackle this issue. Toward this end, we first state some propositions to clarify the relationships between the...
Data envelopment analysis (DEA) is a mathematical programming method in Operations Research that can be used to distinguish between efficient and inefficient decision making units (DMUs). However, the conventional DEA models do not have the ability to rank the efficient DMUs. The super-efficiency models in DEA are used for ranking the efficient DMUs. This paper proposes a non-radial super-efficiency...
In this paper, a two-stage approach of integrating spatiotemporal independent component analysis (stICA) and data envelopment analysis (DEA) is developed for efficiency measurement. stICA is used to search for latent source signals where no relevant signal mixture mechanisms are available; and DEA is used to measure the relative efficiencies of decision making units (DMUs). We suggest using stICA...
The objective of this paper is to address a typical efficiency analysis problem, in which interval inputs/outputs are considered. This paper firstly discusses the main weakness of the existing model in dealing with imprecise data, that different DMUs (decision making units) are rated under different production frontier, which makes the efficiency comparisons concise and meaningless. In order to evaluate...
Since multifarious service will be provided by logistics enterprises, selecting an optimal logistics enterprise is one pivotal purpose of the manufacture enterprises. Considering the important uncertainty factors such as enterprise magnitude, transport capability and stockpile capability, an integrated approach (IA) based on the Data Envelopment Analysis (DEA) and Multi-Attribute Decision Making (MADM)...
Enterprise competition comes into cooperation from opposition with the accelerating process of global integration. In this context, the paper studies the connotation of enterprise cooperation and cooperation motivation in-depth, demonstrates the promoting effect from good partnership to enterprise performance clearly. After designing the evaluation index of enterprise performance strictly, it establishes...
The paper leads the application of DEA (data envelopment analysis) into the power engineering bidding estimation practices. The scheme of evaluation carrying out multi-IO indices helps weaken the influence of subjective factor in the power engineering bidding evaluation. The paper builds up the power engineering bid evaluation index system, and in this foundation, it evaluates and analyzes the relative...
This study considers a criteria set including green, traditional, and partnership issues for the green supplier selection problem. The criteria set takes carbon footprint into account, because the international regulations have paid much attention on the carbon footprint exposure in recent years. Moreover, most of the studies of green supplier selection use Analytical Hierarchical Process (AHP) and...
An evaluation model of Gray Relational Analysis with preferences of decision makers based on Characteristics-AHP is built. This model makes fully use of the advantage of gray theory on the fields of performance evaluation for small sample and poor data. Considering preference degree of decision-makers not only makes evaluation result objective and fairness, but also reflects decision-making fact....
In view of the shortcomings of interval DEA (IDEA) model, a new method that can take the decision maker's preference into consideration is given. Comparing with the exited methods, the model is more robust without demanding too much and precise information, keeps characteristics of the conventional DEA model, and reflects preference of the decision-maker. Numerical example shows the effectiveness...
To evaluate the efficiency of road transportation in Henan province, using the objectivity of evaluations in Data Envelopment Analysis and the makers’ preference in the procedure of evaluating, an evaluation of efficiency based on AHP/PDEA model is proposed. By simulation of the road transportation efficiency in Henan Province, the required improvement of the subsequent build after the construction...
The efficiency evaluation value which is provided by C2R model of data envelopment analysis (DEA) can be used for ranking decision making units (DMUs), however, this ranking procedure does not yield relative rankings for those units with 100% efficiency. Some researchers have proposed a modified efficiency measure for efficient units which can be used for ranking, but this ranking breaks down in some...
The objective of this paper is to address a typical eco-efficiency analysis problem, in which undesirable outputs and categorical variables should be considered simultaneously. By analyzing the impacts of categorical variables on decision making units' (DMU) desirable and undesirable outputs, a modified DEA (Data Envelopment Analysis) model is proposed. In the proposed model, a new approach of defining...
This paper discusses a new amendatory suggestion for frontier of BCC model in Data Envelopment Analysis (DEA). The BCC model frontier may contain some weak efficient parts in input or output orientation, and Decision Making Units (DMUs) which are compared with these parts of frontier or placed on them take a bias efficiency. Here, using estimation of returns to scale for each efficient DMUs, allowable...
While conventional data envelopment analysis (DEA) models set targets separately for each decision making unit (DMU), Lozano and Villa (2004) introduced the concept of ldquocentralizedrdquo DEA models, which aim at optimizing the combined resource consumption by all units in an organization rather than considering the consumption by each unit, separately. In these models, there is a centralized decision...
This paper presents a new decision making framework for supplier selection in a make-to-order-system (MTO) while establishing an information loop between ldquosalerdquo and ldquopurchasingrdquo functions which play important roles in successful satisfying of customers. The order entry stage outputs, including accepted orders' requirements and their priorities are reflected into the supplier selection...
Traditional data envelopment analysis (DEA) model can only evaluate the relative efficiency of decision making units (DMUs), some times it can not rank all the DMUs owing to existing many efficient DMUs possibly. In this article, a new method for ranking DMUs is proposed by improving DEA model. The method introduces the best and worst DMU respectively to change the production frontier, at the same...
As the results of the psycho-scales are single and simple, we attempt to apply the semi-parameter stochastic frontier model in econometrics, which developed from the stochastic frontier linear model and combined linear regression and non-parameter regression, to psycho-measurement. By means of this innovation, we can overcome the shortcomings of traditional psycho-scale we stated above and make the...
The inputs and outputs of decision making units (DMUs) in conventional CCR model of data envelopment analysis (DEA) are the separate limited data, thus the relative efficiency among decision making units is evaluated at one point of the time axis. But in many real world applications, DMUs have the inputs and outputs which are the continuous functions of a time interval. In this situation, how can...
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...
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