A Cost-Based Model for Improving Customer Waiting Times

The effective management of a service organization requires measuring system performance on many attributes. Customer waiting time is inherent to nearly all service operations and represents a system attribute that is of high concern to both the customers who engage service and the managers of the service operation who are responsible for providing services. Effective performance measures of all system attributes are required to improve service quality. In this paper we present a cost-based, performance model for evaluating the expected cost of untimely customer waiting times for services within a service organization. The present worth of the expected costs due to untimely waiting that accrue over a finite time horizon provide management with input for justifying financial investment to support a continuous improvement program to improve service quality through the reduction of the variability in customer waiting time.

[1]  Yigal Gerchak,et al.  Investing in reducing lead-time randomness in continuous-review inventory models , 1991 .

[2]  C. Grönroos Service Management and Marketing: Customer Management in Service Competition , 2007 .

[3]  Shirley Taylor Waiting for Service: The Relationship between Delays and Evaluations of Service , 1994 .

[4]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[5]  Jeong-Wook Choi,et al.  Investment in the reduction of uncertainties in just-in-time purchasing systems , 1994 .

[6]  R. Lancioni,et al.  Measuring service quality: a systems approach , 1995 .

[7]  Medini R. Singh,et al.  Optimal Variance Structures and Performance Improvement of Synchronous Assembly Lines , 1999, Oper. Res..

[8]  Louis Fabien Design and implementation of a service guarantee , 2005 .

[9]  Shirley Taylor,et al.  Delays and the dynamics of service evaluations , 1994 .

[10]  Tim Baker,et al.  The Economic Payout Model for Service Guarantees , 2005, Decis. Sci..

[11]  K. S. Al-Sultan,et al.  Variance reduction in a process with random linear drift , 1997 .

[12]  Charles H. Fine Quality Improvement and Learning in Productive Systems , 1986 .

[13]  Winter Nie,et al.  Waiting: integrating social and psychological perspectives in operations management , 2000 .

[14]  Steven A. Taylor,et al.  Measuring Service Quality: A Reexamination and Extension , 1992 .

[15]  Louis E. Yelle THE LEARNING CURVE: HISTORICAL REVIEW AND COMPREHENSIVE SURVEY , 1979 .

[16]  Joanne M. Sulek,et al.  Measuring performance in multi-stage service operations: An application of cause selecting control charts , 2006 .

[17]  James M. Tien,et al.  A case for service systems engineering , 2003 .

[18]  Piyush Kumar The competitive impact of service process improvement: Examining customers’ waiting experiences in retail markets , 2005 .

[19]  P. K. Kannan,et al.  Design of Service Systems under Variability: Research Issues , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[20]  Chwen Sheu,et al.  A managerial assessment of the waiting-time performance for alternative service process designs , 1996 .

[21]  Z. K. Weng,et al.  THE DESIGN OF A JIT SUPPLY CHAIN: THE EFFECT OF LEADTIME UNCERTAINTY ON SAFETY STOCK , 1999 .

[22]  M. Eric Johnson,et al.  Improuing supply chain performance by using order fulfillment metrics , 1998 .

[23]  Christopher L. Carr The FAIRSERV Model: Consumer Reactions to Services Based on a Multidimensional Evaluation of Service Fairness , 2007, Decis. Sci..

[24]  Mohamad Y. Jaber,et al.  A Convolution Algorithm for Evaluating Supply Chain Delivery Performance , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).

[25]  Stanley Davis,et al.  Quality Management: Introduction to Total Quality Management for Production, Processing, and Services , 1999 .