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Das, Prasun
- Composite Desirability Index in Cases of Negative and Zero Desirability
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Authors
Affiliations
1 SQC & OR Division Indian Statistical Institute 203 B.T. Road, Kolkata – 700 108
1 SQC & OR Division Indian Statistical Institute 203 B.T. Road, Kolkata – 700 108
Source
Journal of Management Research, Vol 10, No 1 (2010), Pagination: 25-38Abstract
Quantitative assessment of critical performance characteristics based on customer perception is of paramount importance for making business decisions. The concept of composite desirability can be used in such cases to arrive at a single quantitative index for assessment. However, in situations where perceptions are used as metrics/measurements, the scales usually take values between -k to +k for specified k. The present desirability functions either do not reflect or avoid using the negative and zero values. We use a negative exponential transformation to modify Gatza's desirability function in order to accommodate such values. The effects of the parameter of this function are studied for different levels of positive, negative and zero desirability values and a few chosen upper bounds of low positive composite desirability index.Keywords
Gatza's Function, Negative Exponential Transformation, Desirability Index
References
- Das, P. (2006), A Statistical Thinking Perspective through Six Sigma Philosophy for Improving Health Care Services, The Vision – JOMAS, 2(4): 38-46.
- Gatza, P. E. and McMillan, R. C. (1972), The Use of Experimental Design and Computerized Data Analysis in Elastomer development Studies, Division of Rubber Chemistry, American Chemical Society Fall Meeting, Paper No. 6, Cincinnati, Ohio, October 3-6.
- Gauri, S. K. and Das, P. (2006), Enhancing Business Growth through Increase in Consumer Focus: A Case Study, Journal of Quality (online).
- Harrington Jr. E. C. (1965), The Desirability Function, Industrial Quality Control, April: 494-498
- Adaptation of Fuzzy Reasoning and Rule Generation for Customers? Choice in Retail Fmcg Business
Abstract Views :477 |
PDF Views:1
Authors
Affiliations
1 SQC & OR Unit Indian Statistical Institute 203, B.T. Road, Kolkata - 700108
1 SQC & OR Unit Indian Statistical Institute 203, B.T. Road, Kolkata - 700108
Source
Journal of Management Research, Vol 9, No 1 (2009), Pagination: 15-26Abstract
In todays retail business, ensuring customer satisfaction in delivering the right product and service to the end-users is the major concern for the future growth of the organization. In the present work an attempt is made to model the customer choice in FMCG product design during purchase in retail outlets based on customer survey. Since the behavior of customer cannot be predicted easily due to association of fuzzyness involved, fuzzy reasoning is adapted for modeling such uncertainty along with generation of rules towards product design preference using statistical principle. The results found from this work would be beneficial to the retail management, in general, about customers profile and would help in planning retail business for FMCG items.Keywords
Customer Choice, Customer Survey, Retail Business, Fuzzy Inference System, Fuzzy Clustering, Classification TreeReferences
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