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대기행렬을 적용한 승차 구매점의 정량적인 대기열 산정과 개선방안

Quantitative Queue Estimation and Improvement of Drive-Through with Queuing

  • 이승원 (한양대학교 건축공학과) ;
  • 허승하 (한양대학교 건축공학과) ;
  • 윤경일 (한양대학교 건축공학과) ;
  • 김재준 (한양대학교 건축공학과)
  • Lee, SeungWon (Department of Architectural Engineering, Hanyang University) ;
  • Huh, SeungHa (Department of Architectural Engineering, Hanyang University) ;
  • Yoon, KyoungIl (Department of Architectural Engineering, Hanyang University) ;
  • Kim, JaeJun (Department of Architectural Engineering, Hanyang University)
  • 투고 : 2022.09.27
  • 심사 : 2022.12.26
  • 발행 : 2023.01.31

초록

승차 구매점을 찾는 고객의 긴 대기열로 인해 과도한 민원과 교통체증이 발생하였다. S사는 대기열을 줄이기 위해 DT Pass를 권장하고 있다. 이에 본 연구는 대기행렬 모형을 사용하여 하나의 서버로 운영하고 있는 매장을 두 개의 서버로 증량한 후, DT와 DT Pass로 구분하여 성능 개선을 확인하였다. 그 후, 대기행렬 모형을 통해 도출한 L값과 각 매장이 구비하고 있는 매장 내 머무를 수 있는 차량의 대기 공간의 대수를 비교하여 추가로 구비해야 할 차량의 대기 공간의 대수를 산정하였다. 이를 통해 본 연구에서 도출된 결과를 바탕으로 향후 생길 매장의 매장 내 머무를 수 있는 차량의 대기 공간의 대수를 산정하는데 타당성을 검증한다.

Excessive complaints and traffic jams occurred as customers who visited the Drive-thru waited in a long line. Company S recommends DT Pass to reduce the queues. Therefore, this study confirmed the improvement in performance of the queue increasing the number of stores operated by two servers insteaol of one using a queue model. And then confirmed performance improvement by dividing them into DT and DT Pass. After that, the L value derived through the queue model and the number of queues in each store were compared to calculate the number of queues to be additionally provided. Through this, the validity of selecting the minimum number of queues in the future is verified based on the results derived in this study.

키워드

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