An entropy model for marketing structure analysis and price decision of new brand

The concept of maximum entropy has been applied to specify the probabilistic model of consumer purchase behavior. This article is concerned with the marketing structure analysis based on entropy model when a new brand has pushed into the existing two-brand market. A comparison between the proposed model and the initial three-brand model is attempted based on their marketing structures. An optimal price decision maximizing the sales is also discussed.     

Variable sampling plans for normal distribution indexed by Taguchi's loss function

Taguchi has presented an approach to quality improvement in which reduction of deviation from the target value is the guiding principle. In this approach any measured value x of a product characteristic X brings a loss to consumer in general, where the loss is expressed as a quadratic form with respect to the difference between the measured value x and the target value T of a product characteristic. Then, it is natural to reject the lot which may bring a large loss to consumer. This concept induces us to construct new variable sampling plans based on the Taguchi's loss criterion. In this article, a design procedure of the sampling plans for assuring the loss in the Taguchi's method is proposed. Some numerical results based on the proposed design procedures are illustrated. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 591–603 (1997)