فهرست مقالات Discretionary inputs

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  1 - Resource allocation based on DEA for distance improvement to MPSS points considering environmental factors
  Azam Mottaghi Reza Ezzati Esmaeil Khorram
  This paper proposes a new resource allocation model which is based on data envelopment analysis (DEA) and concerns systems with several homogeneous units operating under supervision of a central unit. The previous studies in DEA literature deal with reallocating/allocat چکیده کامل

  This paper proposes a new resource allocation model which is based on data envelopment analysis (DEA) and concerns systems with several homogeneous units operating under supervision of a central unit. The previous studies in DEA literature deal with reallocating/allocating organizational resource to improve performance or maximize the total amount of outputs produced by individual units. In those researches, it is assumed that all data are discretionary. Resource allocation problem has a multiple criteria nature; thus to solve it, many intervening factors should be regarded. This paper not only develops resource allocation plan for systems with both discretionary and non discretionary data in their inputs, but also considers environmental factors as well. In addition, the overall distance from the decision making units (DMUs) to their most productive scale size (MPSS) points is taken into account and is minimized in this method. To find the best allocation plan, this paper applies multiple objective programming (MOLP). Numerical examples are employed to illustrate the application of this approach on real data. پرونده مقاله
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  2 - Benchmarking Marketing Productivity Using Data Envelopment Analysis: a Modified Approach
  Farhad Hosseinzadeh Zohreh Moghaddas
  Abstract. Data envelopment analysis (DEA) is now widely utilized as a method for assessing relative efficiency of a set of decision making units (DMUs). Along as evaluating relative efficiency DEA models are capable of to be improved for finding benchmark for inefficien چکیده کامل

  Abstract. Data envelopment analysis (DEA) is now widely utilized as a method for assessing relative efficiency of a set of decision making units (DMUs). Along as evaluating relative efficiency DEA models are capable of to be improved for finding benchmark for inefficient units which can help managers for better making decision. Thus it is important to obtain accurate results from DEA models. In this paper the SBM model has been enhanced by incorporating two constraints. One of these constraints has been considered to deal with non-discretionary inputs that can affect production. The other helps to find acceptable targets where there exists variable that has an integer value. Also, with an example it has been shown how the proposed model works. پرونده مقاله