A Data Envelopment Analysis Approach for Resource Allocation and Reallocation
提出一种基于数据包络分析的资源分配模型，在保持公平性和有效性约束下最大化产出，并扩展到资源再分配场景，通过超市案例验证方法适用性。
Resource allocation decisions have always been critical to the success of an organization with a centralized decision-making environment. The central unit is assumed to have the power to allocate available additional resources among its subunits to achieve organizational goals. This article proposes a data envelopment analysis approach based additional resource allocation model in which the original resources of the subunits are not allowed to be reallocated. The aim is to maintain fair allocations to the different units and satisfy effectiveness constraints while produce the maximum amount of available outputs. An iterative algorithm is presented to calculate the maximum outputs with maximum efficiency for a multioutput case. Further, we extend the additional resource allocation model to a resource reallocation model in which the original resources of the subunits are able to be reallocated. An illustrative application of a supermarket chain is given to show the applicability of the proposed method.