Work

Reducing Customer Wait Times in Vehicle Inspection Services: A Process Optimization Approach

Year: 2026

Type: article

Abstract: This study addresses the critical challenge of achieving competitive advantage in highly regulated service industries where price controls limit traditional strategic options. Employing a rigorous insider action research methodology, the research details a comprehensive two-month, lean-inspired process optimization intervention conducted at a representative vehicle inspection Small and Medium-sized Enterprise (SME) in China. The study followed a systematic, cyclical process of diagnosis, planning, action, and evaluation. A mixed-methods approach was utilized to ensure data triangulation, integrating direct participant observation, semi-structured interviews with key stakeholders, and a detailed longitudinal analysis of operational performance data. The findings reveal that the targeted lean intervention yielded dramatic and measurable operational improvements. Specifically, the optimization of inspection workflows and resource allocation successfully slashed average customer wait times by 33%, reducing them from 45 to 30 minutes, while simultaneously boosting daily service capacity by 17%. These operational efficiencies directly translated into a significant enhancement of the overall customer experience, as evidenced by a 19% increase in customer satisfaction scores and a remarkable 42% reduction in formal complaint rates. The originality and value of this paper lie in its rare empirical contribution to the field of process optimization within a compliance-driven, price-regulated service context. It offers a replicable, evidence-based roadmap for SMEs to achieve strategic differentiation through operational excellence. Ultimately, the study demonstrates how lean principles can be effectively adapted to drive service quality and customer loyalty in non-traditional, highly constrained market environments, providing vital insights for both practitioners and policymakers.

Source: International Journal of Academic Research in Business and Social Sciences

DOI: 10.6007/ijarbss/v16-i1/27389

Authors: Xiugen Wang, Basheer Al-haimi, Hong Gong, Wei Deng

Institutions: University of Technology Malaysia, City University of Hong Kong, Huizhou University

Language: English

Topic: Quality and Supply Management

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W7123662951