Scientific journal NRU ITMO
Series "Economics and Environmental Management"
Registration certificate ЭЛ № ФС 77 – 55411 от 17.09.2013
registered by the Federal Inspectorate Service for Communication, Information Technologies and Communication Media
ISSN:2310-1172

September 2021 (published: 22.09.2021)

Number 3(46)

Home > Issue > Service quality analysis methodology

UDC 338.46

Service quality analysis methodology

Shimokhin A.V.

This article examined the universal indicators of the quality of services in various areas: time indicators, indicators of compliance with various requirements, indicators of service quality and availability. The existing indicators in the normative literature for assessing the quality of services are considered. Indicators common for all types of services are highlighted. These metrics have been refined in terms of customer value. Statistical quality management tools are proposed for assessing quality by time indicators of service performance and compliance with requirements. Checklists have been developed to collect information that is used to build Pareto charts. It is noted that these indicators and tools provide the ability to determine losses, from the point of view of the theory of lean production, associated with the irrational organization of the process of providing a service, due to the absence or expectation of a tool, material or parts. This methodology should allow managers to identify problem areas and work involved in the service delivery process. It is noted that CSAT (Customer Satisfaction Score) and NPS (Net Promoter Score) methods are applicable to assess service and availability indicators. The proposed methodology makes it possible to implement the PDCA cycle, which in general becomes the basis for the implementation of a quality management system at an enterprise in the service sector.
Read the full article 

Keywords: service quality, car service, quality indicators, Pareto's law, PDCA. lean.

DOI 10.17586/2310-1172-2021-14-3-129-137

Editorial address:
191002, St. Petersburg, street. Lomonosova 9, office. 2132

Information 2007-2024, All rights reserved
Department of Internet Solutions NRU ITMO © 2013
Яндекс.Метрика