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A data envelopment analysis approach for resource allocation with undesirable outputs: an application to home appliance production companies

机译:一种数据包络分析方法,用于分配不良产出的资源:应用于家用电器生产公司

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Traditional data envelopment analysis (DEA) models use all multiple inputs and outputs to estimate efficiency scores of decision-making units (DMUs). Each unit may consist of several subunits in cases such as manufacturing systems, and each subunit may produce both desirable and undesirable outputs. Providinginformation about the proportion of resources for each subunit could assist managers in making better decisions for increasing the efficiency of production systems. The current study proposes a new approach for resourceallocation and efficiency estimation of production units by considering partial impacts among inputs and outputs in the DEA framework. A weak disposable technology is used in these evaluations, and an empirical applicationof the proposed approach for obtaining performance of home appliances production companies is provided for illustration purposes.
机译:传统的数据包络分析(DEA)模型使用所有多个输入和输出来估计决策单位(DMU)的效率得分。在诸如制造系统的情况下,每个单元可以由几个子单元组成,并且每个子单元可以产生期望和不期望的输出。提供有关每个子部门的资源比例的信息可以帮助管理人员做出更好的决策,以提高生产系统的效率。当前的研究提出了一种新方法,通过考虑DEA框架中投入和产出之间的部分影响来对生产单位进行资源分配和效率估算。在这些评估中使用了一种较弱的一次性技术,并且出于说明目的,提供了所提出的方法来获得家用电器生产公司的业绩的经验应用。

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