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Predicting Service Reliability - Using Survival Analysis of Customer Fuzzy Satisfaction

Rahman Dwi Wahyudi, Mochammad Arbi Hadiyat, Markus Hartono

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


Keywords


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

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References


AbuKhalifeh, A. N., &Som, A. P. M. (2012). Service quality management in hotel industry: a conceptual framework for food and beverage departments. International Journal of Business and Management, 7(14), 135-141.

Adebiyi, S. O., Oyatoye, E. O., & Mojekwu, J. N. (2015). Predicting customer churn and retention rates in Nigeria’s mobile telecommunication industry using Markov chain modelling. Acta Universitatis Sapientiae, Economics and Business, 3(1), 67-80.

Bergquist, K., & Abeysekera, J. (1996). Quality function deployment (QFD)—A means for developing usable products. International journal of industrial ergonomics, 18(4), 269-275.

Bose, D., Ghosh, G., Mandal, K., Sau, S.P., & Kunar, S. (2013). Measurement and Evaluation of Reliability, Availability and Maintainability of a Diesel Locomotive Engine. International Journal of Engineering Research and Technology, 6(4), 515-534.

Chen, J., Reilly, R. R., & Lynn, G. S. (2012). New product development speed: Too much of a good thing?. Journal of Product Innovation Management, 29(2), 288-303.

Corallo, A., Latino, M. E., & Neglia, G. (2013). Methodology for User-Centered Innovation in Industrial Living Lab. ISRN Industrial Engineering, 2013.

Hadiyat, M. A., Wahyudi, R. D., & Sari, Y. (2017, November). Survival analysis for customer satisfaction: A case study. In IOP Conference Series: Materials Science and Engineering (Vol. 273, No. 1, p. 012029). IOP Publishing.

Hartono, M., Suryani, R. M., & Ongkowijoyo, G. (2013, February). Integrating Kansei Engineering and customer relationship management to improve service quality: A case study at shopping mall in Surabaya. In Proceeding of 6th International Seminar on Industrial Engineering and Management (6th ISIEM) (Vol. 6, pp. QM-21). ISIEM.

Herowati, E., Ciptomulyono, U., Parung, J., & Suparno (2014). Expertise-based experts importance weights in adverse judgment. ARPN Journal of Engineering and Applied Sciences, 9(9), 1428-1435.

Lee, Y. C., Hu, H. Y., Yen, T. M., & Tsai, C. H. (2009). An integration of KANO’s model and exit-voice theory: a case study. Asian Journal on Quality, 10(2), 109-126.

Lovelock, C., & Wirtz, J. (2007). Services marketing: people, technology, strategy. New Jersey: Prentice Hall Publisher.

Maulani, S. I., Hartono, M., & Hadiyat, M. A. (2017). Service Quality Improvement at SAMSAT, surabaya based on Integration of SERVQUAL-KANO-QFD and Survival Analysis. Surabaya: University of Surabaya.

McNally, R. C., Akdeniz, M. B., &Calantone, R. J. (2011). New product development processes and new product profitability: Exploring the mediating role of speed to market and product quality. Journal of Product Innovation Management, 28(s1), 63-77.

Meng, Q., Jiang, X., He, L., & Guo, X. (2015). Integration of fuzzy theory into Kano model for classification of service quality elements: A case study in a machinery industry of China. Journal of Industrial Engineering and Management, 8(5), 1661-1675.

Mohammed, D. M. A. (2014). Survival Analysis By Using Cox Regression Model With Application. International journal of scientific & technology research, 3(11), 277-8616.

Momani, A., Al-Hawari, T., Al-Shebami, H., & Al-Araidah, O. (2014). Classifying and ranking healthcare quality attributes using integrated Kano-fuzzy analytical hierarchy process model. Engineering Management Research, 3(1), 68-88.

Raharjo, H. (2007). Dealing with Kano model dynamics: strengthening the quality function deployment as a design for six sigma tool. Jurnal Teknik Industri, 9(1), 15-26.

Snyder, H., Witell, L., Gustafsson, A., Fombelle, P., & Kristensson, P. (2016). Identifying categories of service innovation: A review and synthesis of the literature. Journal of Business Research, 69(7), 2401-2408.

Wahyudi, R. D. (2017, November). Investigating the role of Fuzzy as confirmatory tool for service quality assessment (Case study: Comparison of Fuzzy SERVQUAL and SERVQUAL in hotel service evaluation). In IOP Conference Series: Materials Science and Engineering (Vol. 273, No. 1, p. 012032). IOP Publishing.

Wahyudi, R. D., & Hadiyat, M. A. (2013). Fungsi Reliabilitas untuk Service. Seminar Nasional Terpadu Keilmuan Teknik Industri. Malang: University of Brawijaya.




DOI: http://dx.doi.org/10.12695/ajtm.2018.11.2.2

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