Multiple criteria decision making with generalized DEA and an aspiration level method

Article Abstract:

A new method of aspiration level approach that utilizes generalized data envelopment analysis (GDEA) and genetic algorithms (GA) in multiple criteria decision-making problems such as engineering design is discussed. The method succeeds in providing decision makers with Pareto optimal solutions that are close to the given aspiration level.

Japan, Management dynamics, Multiple criteria decision making, Management, Company business management, Genetic algorithms

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A generalized model for data envelopment analysis

Article Abstract:

Data envelopment analysis (DEA) is a method to estimate a relative efficiency of decision-making units (DMUs) performing similar tasks in a production system that consumes multiple inputs to produce multiple outputs. In the study, a model called generalized DEA (GDEA) is suggested, which can treat the basic DEA models in a unified way.

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Data envelopment analysis based decision model for optimal operator allocation in CMS

Article Abstract:

A decision-making method using data envelopment analysis for assessing the optimum number of operators and measuring the labor assignment in cellular manufacturing system is presented.

Belgium, Personnel administration, Turkey, Manufacturing industry, Manufacturing industries, Human resource management, Work, Company personnel management, Labour, Labor

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