نتایج جستجو برای: decision making unit
تعداد نتایج: 910684 فیلتر نتایج به سال:
Two different bullwhip effects with equal scores may have different sensitivities and production patterns. As a result, the difference between these two seemingly equal scores has been ignored in previous methods (such as frequency response and moving average). So, the present study constructs a model of Inverse Network Data Envelopment Analysis, to introduce the relative and interval scores of...
Although discriminating between all efficient decision making units (DMUs) with identical efficiency is a very important subject in data envelopment analysis (DEA), it may not be an easy task, particularly when the decision maker wants to select one and only one efficient DMU among all. There are some papers that have proposed methods for finding an efficient DMU as the most efficient one but h...
with the complexity and amount of information in a wide variety of comparative performance reports in poultry production, making a decision is difficult. this problem is overcomed only when all data can be put into a common unit. for this purpose, five different decision making analysis approaches including maximin, equally likely, weighted average, ordered weighted averages and technique for ...
Data envelopment analysis (DEA) has been a very popular method for measuring and benchmarking relative efficiency of peer decision making units (DMUs) with multiple input and outputs. Traditional data envelopment analysis (DEA) models require crisp input and output data. In real world situations, however, crisp input and output data may not always be available, especially when a set of decision...
The full ranking or complete ranking of decision making units is one of the main issues in data envelopment analysis. A full ranking is a ranking that considers all efficient and inefficient units simultaneously and finds a ranking for them. Almost all of the developed ranking methods consider only the efficient units. On the other hand, ranking inefficient units by traditional data envelop...
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the sensitivity analysis for multi-attribute decision making (madm) problems is important for two reasons: first, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...
Several studies have pointed out ethical shortcomings in the decision-making process for withholding or withdrawing life-supporting treatments. We conducted a study to evaluate the perceptions of all caregivers involved in this process in the intensive care unit. A closed-ended questionnaire was completed by 3,156 nursing staff members and 521 physicians from 133 French intensive care units (pa...
You’re going on holiday to a place called Utopia, which is lovely, or so they say. Your case is packed, and you have your passport and visa. Then come murmurings about the weather. What do the meteorologists say? Well, we’ve had enough of experts. You’re told that lots of doctors and nurses are leaving Utopia. People from the business world are starting to worry about the effects of trade deals...
the performance of a decision making unit (dmu) can be evaluated in either across-sectional or a time-series manner, and data envelopment analysis (dea) is a useful method for both types of evaluation. the malmquist productivity index (mpi) evaluates the change in efficiency of a dmu between two time periods. it is defined as the product of the catch-up and frontier-shift terms. in this paper, ...
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