فهرست مقالات Decision Making Units (DMUs)

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  1 - Malmquist Productivity Index Based on Means of Weights for Ranking of Decision Making Units in Data Envelopment Analysis
  Sorena Jafarigorzin Iraj Asadi Talooki
  The Malmquist Index is the prominent Index for measuring the productivity change of Decision Making Units (DMUs) in multiple time periods that use Data Envelopment Analysis (DEA) models with Variable Return to Scale (VRS) and Constant Return to Scale (CRS) technology. O چکیده کامل

  The Malmquist Index is the prominent Index for measuring the productivity change of Decision Making Units (DMUs) in multiple time periods that use Data Envelopment Analysis (DEA) models with Variable Return to Scale (VRS) and Constant Return to Scale (CRS) technology. One of the drawbacks of DEA is the problem of lack of discrimination among efficient DMUs and hence yielding many numbers of DMUs as efficient. The main purpose of this paper is to overcome this inability. In this paper, we compute the Malmquist Index based on means of weights evaluation, and by using this method we can rank DMUs by logical criteria. For illustration numerical example is given. پرونده مقاله
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  2 - Merging DMUs Based on of the idea Inverse DEA
  الهه زین الدین سعید قبادی
  In this paper, we propose a novel method using multiple-objective programming problems to answer the following question: if among a group of decision making units (DMUs), a subset of DMUs are required to merge and form a new DMU with specific input/output levels and a p چکیده کامل

  In this paper, we propose a novel method using multiple-objective programming problems to answer the following question: if among a group of decision making units (DMUs), a subset of DMUs are required to merge and form a new DMU with specific input/output levels and a predefined efficiency target, how much should be the outputs/inputs of the merged DMU? This question answered according to the concept of inverse DEA. Sufficient conditions are established for input/output-estimation of the merged DMU using multiple-objective programming problems. A numerical example with real data is presented to illustrate the goals of this paper. پرونده مقاله
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  3 - A new approach to determine efficient DMUs in DEA models using inverse optimization
  GH.R Amin
  This paper proposes a new approach for determining efficient DMUs in DEA models using inverse optimi-zation and without solving any LPs. It is shown that how a two-phase algorithm can be applied to detect effi-cient DMUs. It is important to compare computational perform چکیده کامل

  This paper proposes a new approach for determining efficient DMUs in DEA models using inverse optimi-zation and without solving any LPs. It is shown that how a two-phase algorithm can be applied to detect effi-cient DMUs. It is important to compare computational performance of solving the simultaneous linear equa-tions with that of the LP, when computational issues and complexity analysis are at focus. پرونده مقاله