Predicting Service Reliability - Using Survival Analysis of Customer Fuzzy Satisfaction

Authors

  • Rahman Dwi Wahyudi Department of Industrial Engineering, University of Surabaya
  • Mochammad Arbi Hadiyat Department of Industrial Engineering, University of Surabaya
  • Markus Hartono Department of Industrial Engineering, University of Surabaya

DOI:

https://doi.org/10.12695/ajtm.2018.11.2.2

Keywords:

service reliability, survival analysis for service, fuzzy logic in service, fuzzy satisfaction, technology as support

Abstract

Abstract. It had been known that the main objective of adding service was creating value to improve customer satisfaction. Therefore, if customer satisfaction was plotted in time series variable, service reliability function was reflected. The benefits obtained from understanding the service reliability function were knowing the trend of service life cycle and analyzing the time to react for service in order that the company could offer service innovation before the service became unfavorable. This research was aimed to analyze service reliability function by using the definition concept of product reliability function which was called survival analysis. To reduce bias data because of linguistic variable such as customer satisfaction, fuzzy logic was used in this research. The data was collected by doing a survey to 100 SAMSAT customers about their satisfaction. SAMSAT is a public unit giving service in tax. Then, fuzzied customer satisfaction was plotted in time series to describe the survival analysis of service. In other words, the plotting result was used to determine the right time for innovating service. So, the conclusion was drawn that survival analysis implemented in service field could help the managerial level in terms of innovation management. In addition, fuzzy logic used could bold the bias definition of customer satisfaction. Furthermore, this framework would be able to be used in mobile application development for future research in terms of supporting a company to define the right moment of service innovation based on asimple customer satisfaction survey. 

Keyword: Service reliability, survival analysis for service, fuzzy logic in service, fuzzy satisfaction, technology as support

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Submitted

2018-05-28

Accepted

2018-12-07

Published

2018-12-24

How to Cite

Wahyudi, R. D., Hadiyat, M. A., & Hartono, M. (2018). Predicting Service Reliability - Using Survival Analysis of Customer Fuzzy Satisfaction. The Asian Journal of Technology Management (AJTM), 11(2), 79–93. https://doi.org/10.12695/ajtm.2018.11.2.2

Issue

Vol. 11 No. 2 (2018)

Section

Articles

License

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Copyright @2017. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted non-commercial used, distribution and reproduction in any medium