A DEA with Categorical DMUs Based Model in Profit Sharing
نویسندگان
چکیده
Submitted: Jun 12, 2013; Accepted: Jul 23, 2013; Published: Jul 25, 2013 Abstract: Companies around the world normally assign a portion of their benefits to their employees. This policy is used as an encouragement to increase the motivation of employees. If the profit sharing seems unfair, its expected results will be lost. In this paper, a model is developed to determine a desirable profit sharing policy which relates the profit sharing with the efficiency of organizational units. The proposed method is designed based on the data envelopment analysis. The proposed method is applied in a real application and its results are shown.
منابع مشابه
Measuring Overall Profit Efficiency with Fuzzy Data
Data Envelopment Analysis (DEA) is a technique for measuring the efficiency of a set of Decision Making Units (DMUs) with common data, but in general it is not practical. This paper presents a framework where DEA is used to measure overall profit efficiency with fuzzy data. Specifically, it is shown that as the inputs, outputs and price vectors are fuzzy numbers, the DMUs cannot be easily evalu...
متن کاملMeasuring a Dynamic Efficiency Based on MONLP Model under DEA Control
Data envelopment analysis (DEA) is a common technique in measuring the relative efficiency of a set of decision making units (DMUs) with multiple inputs and multiple outputs. Standard DEA models are quite limited models, in the sense that they do not consider a DMU at different times. To resolve this problem, DEA models with dynamic structures have been proposed.In a recent pape...
متن کاملOptimal system design series-network DEA models
There is an urgent need in a wide range of fields such as logistics and supply chain management to develop effective approaches to measure and/or optimally design a network system comprised of a set of units. Data envelopment analysis (DEA) researchers have been developing network DEA models to measure decision making units’ (DMUs’) network systems. However, to our knowledge, there are no previ...
متن کاملChoosing weights for a complete ranking of DMUs in DEA and cross-evaluation
Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. One of the interesting research subjects is to discriminate between efficient DMUs. The aim of this paper is ranking all efficient (extreme and non-ex...
متن کاملTotal and Partial efficiency indexes in data envelopment analysis
Introduction: Data envelopment analysis (DEA) is a data-oriented method for measuring and benchmarking the relative efficiency of peer decision making units (DMUs) with multiple inputs and multiple outputs. DEA was initiated in 1978 when Charnes, Cooper and Rhodes (CCR) demonstrated how to change a fractional linear measure of efficiency into a linear programming format. This non-parametric app...
متن کامل