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A Study on the Balanced Assignment of Allocating Large Group with Multiple Attributes into Subgroups
Department of Industrial and Management Engineering, Keimyung University, Taegu, South Korea
- 1 Department of Industrial and Management Engineering, Keimyung University, Taegu, South Korea
American Journal of Industrial and Business Management·Volume 08 (2018)·Pages 1418–1432·Published 5 June 2018·DOI10.4236/ajibm.2018.86095
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Abstract
In this paper, a balanced assignment methodology is proposed in case of entity with more than 2 attributes. The Mahalanobis distance is a basic idea of MTS method as a distance indicator considering the correlation of entities in quality control techniques. This can be applied to ensure the balanced assignment, and utilized the Signal to Noise Ratio as a measure of classifying large groups with entities into many subgroups. In order to analyze the balanced assignment, the simulation is performed for a given example. Validations against simulation data establish the effectiveness of this approach.
KeywordsBalanced AssignmentMahalanobis DistanceSignal to Noise RatioMTS
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