Statistical process control application on service quality using SERVQUAL and QFD with a case study in trains' services

被引:26
作者
Khorshidi H.A. [1 ]
Nikfalazar S. [2 ]
Gunawan I. [3 ]
机构
[1] School of Applied Sciences and Engineering, Faculty of Science, Monash University, Clayton, VIC
[2] Faculty of Information Technology, Monash University, Clayton, VIC
[3] School of Engineering and Information Technology, Federation University Australia, Churchill
关键词
Quality function deployment; Service quality; Statistical process control;
D O I
10.1108/TQM-02-2014-0026
中图分类号
学科分类号
摘要
Purpose - The purpose of this paper is to implement statistical process control (SPC) in service quality using three-level SERVQUAL, quality function deployment (QFD) and internal measure. Design/methodology/approach - The SERVQUAL questionnaire is developed according to internal services of train. Also, it is verified by reliability scale and factor analysis. QFD method is employed for translating SERVQUAL dimensions' importance weights which are derived from Analytic Hierarchy Process into internal measures. Furthermore, the limits of the Zone of Tolerance are used to determine service quality specification limits based on normal distribution characteristics. Control charts and process capability indices are used to control service processes. Findings - SPC is used for service quality through a structured framework. Also, an adapted SERVQUAL questionnaire is created for measuring quality of train's internal services. In the case study, it is shown that reliability is the most important dimension in internal services of train for the passengers. Also, the service process is not capable to perform in acceptable level. Research limitations/implications - The proposed algorithm is practically applied to control the quality of a train's services. Internal measure is improved for continuous data collection and process monitoring. Also, it provides an opportunity to apply SPC on intangible attributes of the services. In the other word, SPC is used to control the qualitative specifications of the service processes which have been measured by SERVQUAL. Originality/value - Since SPC is usually used for manufacturing processes, this paper develops a model to use SPC in services in presence of qualitative criteria. To reach this goal, this model combines SERVQUAL, QFD, normal probability distribution, control charts, and process capability. In addition, it is a novel research on internal services of train with regard to service quality evaluation and process control. © 2016 Emerald Group Publishing Limited.
引用
收藏
页码:195 / 215
页数:20
相关论文
共 39 条
[1]  
Al-Mashari M., Zairi M., Ginn D., Key enablers for the effective implementation of QFD: A critical analysis, Industrial Management and Data Systems, 105, 9, pp. 1245-1260, (2005)
[2]  
Andronikidis A., Georgiou A.C., Gotzamani K., Kamvysi K., The application of quality function deployment in service quality management, TQM Journal, 21, 4, pp. 319-333, (2009)
[3]  
Bergman B., Klefsjo B., Quality: From Customer Needs to Customer Satisfaction, (2010)
[4]  
Cronin J.J., Taylor S.A., Measuring service quality: A reexamination and extension, Journal of Marketing, 56, 3, pp. 55-68, (1992)
[5]  
DFAT, The Importance of Services Trade to Australia, (2012)
[6]  
Gregorio R., Cronemyr P., From expectations and needs of service customers to control chart specification limits, TQM Journal, 23, 2, pp. 164-178, (2011)
[7]  
Hair J.F.J., Black W.C., Babin B.J., Anderson R.E., Tatham R.L., Multivariate Data Analysis, (2006)
[8]  
Heishman S.J., Evans R.J., Singleton E.G., Levin K.H., Copersino M.L., Gorelick D.A., Reliability and validity of a short form of the Marijuana craving questionnaire, Drug and Alcohol Dependence, 102, 1-3, pp. 35-40, (2009)
[9]  
Herbert D., Curry A., Angel L., Use of quality tools and techniques in services, Service Industries Journal, 23, 4, pp. 61-80, (2003)
[10]  
Hu H.Y., Lee Y.C., Yen T.M., Service quality gaps analysis based on fuzzy linguistic SERVQUAL with a case study in hospital out-patient services, TQM Journal, 22, 5, pp. 499-515, (2010)