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학술논문한국경영과학회지2012.06 발행

예약기반 서비스 시스템에서의 고객 도착 프로세스 분석

Analysis of Customer Arrival Process in an Appointment-Based Service System

민대기(이화여자대학교)

37권 2호, 31~43쪽

초록

Delivery of a good quality of service in an efficient manner requires matching the supply of capacity with customer demand. Much research has employed queueing models that analyzed the service system on the basis of independent and stationary customer arrivals. However, the appointment system, which is widely used to facilitate customer access to service in many industries including healthcare, has significant influence on the customer arrival process so that the independent and stationary assumption does not hold in an appointment-based service system. In this regard, this paper aims to propose a model for accurate illustration of the appointment-based customer arrival process. The use of the proposed model allows us to evaluate the overall system performance such as mean waiting time and service level under various appointment policies instead of conducting simulation studies.

Abstract

Delivery of a good quality of service in an efficient manner requires matching the supply of capacity with customer demand. Much research has employed queueing models that analyzed the service system on the basis of independent and stationary customer arrivals. However, the appointment system, which is widely used to facilitate customer access to service in many industries including healthcare, has significant influence on the customer arrival process so that the independent and stationary assumption does not hold in an appointment-based service system. In this regard, this paper aims to propose a model for accurate illustration of the appointment-based customer arrival process. The use of the proposed model allows us to evaluate the overall system performance such as mean waiting time and service level under various appointment policies instead of conducting simulation studies.

발행기관:
한국경영과학회
DOI:
http://dx.doi.org/
분류:
경영학

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예약기반 서비스 시스템에서의 고객 도착 프로세스 분석 | 한국경영과학회지 2012 | AskLaw | 애스크로 AI