A Scenario-based Model for Resource Allocation with Price Information

In this paper, we consider the problem of allocating resources among Decision Making Units (DMUs). Regarding the concept of overall (cost) efficiency, we consider three different scenarios and formulate three Resource Allocation (RA) models correspondingly. In the first scenario, we assume that overall efficiency of each unit remains unchanged. The second scenario is related to the case where none of overall efficiency scores is deteriorated. We improve the overall efficiencies by a pre-determined percentage in the last scenario. We formulate Linear Programming problems to allocate resources in all scenarios. All three scenarios are illustrated through numerical and empirical examples

Resource allocation and target setting based on virtual profit improvement

One application of Data Envelopment Analysis (DEA) is the resource allocation and target setting among homogeneous Decision Making Units (DMUs). In this paper, we assume that all units are under the supervision and control of a central decision making unit, for instance chain stores, banks, schools, etc. The aim is to allocate available resources among units in a way that the so-called organisational overall ”virtual profit” is maximized. Our method is highly flexible in decision making to achieve the goals of the Decision Maker (DM). The resulting production plans maintain the following characteristics: (1) the virtual profit of each unit is calculated with a common set of weights; (2) the selected weights for calculating the virtual profit prevent the virtual profit of the system from getting worse; (3) the virtual profits of less profitable units are improved as much as possible. The proposed method is illustrated with a simple numerical example and a real life application

Assessing telecommunication contractor firms using a hybrid DEA-BWM method

Telecommunication companies have an important role in technology development, so evaluating the performance of these companies has been an interest of managers. This article uses a hybrid method using data envelopment analysis (DEA) and the best-worst method (BWM) to measure the performance of communication companies. The hybrid DEA-BWM method is used for the weight determination and performance assessment of 17 telecommunication contractor firms in the Khorsan Razavi province of Iran. We considered four inputs: gross losses, sales cost, legal reserve, and fixed assets. On the other side, three outputs including operation income, operation profit, and retained earnings are considered as outputs. Considering the input-output parameters and using the hybrid method by seven selected criteria, we rank all contractor firms. We found that the BPM firm has the best performance while and GKS firm is found as the firm with the weakest performance. Compared with the classical DEA methods, we found more reliable results with higher discrimination power, using the hybrid DEA-BWM

Environmental Efficiency Analysis for Multi Plants Production Technologies

The current article extends the literature by proposing new models for estimating the classical and environmental performance of multi-plant firms. This yields some new indices for capturing the environmental performance vs. classical economic performance at the local and global level. The proposed approaches and indices were applied for the economic and environmental performance assessment of 46 power plants in Iran. The primary result emphasizes considering not only local environmental performance but also global performance to have a broad insight of environmental performance assessments. Moreover, we find only a few power plants with a resistant environmental performance at the global level. Proposed models in this article are general because they can be utilized in environmental analysis of any multiple plant production units