지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
이 논문의 연구 히스토리 (2)
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
- 이 논문의 연구 히스토리 확인하기
초록· 키워드
오류제보하기
In recent years, service delivery systems employing a self-service approach have been rapidly spreading. Since a self-service system provides a lower product price, it attracts more customers. However, some system managers are still hesitant to accept a self-service system, because there is no systematic model to predict its performance.
Therefore, this research attempts to provide a systematic and quantitative model to predict the performance of a self-service system, focused specifically on a self-service gas station. Under this model, the traditional queuing theory was adopted to describe the general self-service process, but it is also assumed that some changes occur in both the customer arrival rate and the service performance rate. In particular, the price elasticity was introduced to capture the change in the customer arrival rate, and the existence of learning effect and helpers were assumed to design the changed service performance rate. Under these assumptions, a simulation model for a self-service gas station is established, and three performance measurements, such as average number of customers, average waiting time, and Utilization are observed, depending on the changes in price difference and helper-operating time.
In this research, the optimal operation strategy for price differentiation and helper-operating time is proposed in accordance with the level of the customer learning rate. Although this research confines the scope of the study to the self-service gas station model, the results of this research can be applied to any type of self-service system.
Therefore, this research attempts to provide a systematic and quantitative model to predict the performance of a self-service system, focused specifically on a self-service gas station. Under this model, the traditional queuing theory was adopted to describe the general self-service process, but it is also assumed that some changes occur in both the customer arrival rate and the service performance rate. In particular, the price elasticity was introduced to capture the change in the customer arrival rate, and the existence of learning effect and helpers were assumed to design the changed service performance rate. Under these assumptions, a simulation model for a self-service gas station is established, and three performance measurements, such as average number of customers, average waiting time, and Utilization are observed, depending on the changes in price difference and helper-operating time.
In this research, the optimal operation strategy for price differentiation and helper-operating time is proposed in accordance with the level of the customer learning rate. Although this research confines the scope of the study to the self-service gas station model, the results of this research can be applied to any type of self-service system.
목차
Abstract
1. 도입
2. 문헌 조사 및 모델 구성
3. 시뮬레이션 모델
4. 결과 분석
5. 결론 및 논의
참고문헌
참고문헌 (2)
참고문헌 신청
이 논문의 저자 정보
이 논문과 함께 이용한 논문
시뮬레이션 기법을 이용한 셀프 서비스 시스템 연구 : 셀프 주유소 사례
정성욱
,
양홍석
,
김수욱
한국경영과학회 학술대회논문집
2010
.10
셀프서비스테크놀로지에서 고객사전준비도가 서비스품질과 고객가치에 미치는 영향 : 온라인 쇼핑을 중심으로
최병돈
,
이준교
경영학연구
2011
.10
LPG충전소 유휴공간의 태양광발전설비 설치 유효성
이민경
,
김정환
,
이진한
외 2명
한국가스학회지
2016
.08
한국기업의 사회적 책임 활동이 부채비용에 미치는 영향 : 기업지배구조와 회사채 평가등급을 중심으로
김동순
,
국양호
,
정태규
대한경영학회지
2016
.07
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2014-325-000620441