• 제목/요약/키워드: Customer Arrival Information

검색결과 21건 처리시간 0.022초

고객 도착 정보를 이용한 서비스 차별화에 관한 점근적 분석 (Asymptotic Analysis on Service Differentiation with Customer Arrival Information)

  • 최기석
    • 한국경영과학회지
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    • 제33권2호
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    • pp.115-135
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    • 2008
  • An interesting problem in capacitated supply chains is how to guarantee customer service levels with limited resources. One of the common approaches to solve the problem is differentiating service depending on customer classes. High-priority customers receive a better service at the cost of low-priority customers' service level. One of common criteria to determine a customer's priority in practice is whether he has made a reservation before arrival or not. Customers with a reservation usually receive service based on the time the reservation was made. We examine the effect this advance information of customer arrival has on customer service levels. We show the trade-offs between the leadtime and other system characteristics such as the proportion of high-priority customers. when the service level is high. We also suggest how to differentiate service using the asymptotic ratio of the service levels for both types of customers.

D-정책을 갖는 이산시간 BMAP/G/1 대기행렬의 대기시간 분석 (Waiting Time Analysis of Discrete-Time BMAP/G/1 Queue Under D-policy)

  • 이세원
    • 한국산업정보학회논문지
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    • 제23권1호
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    • pp.53-63
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    • 2018
  • 본 논문에서는 D-정책을 갖는 이산시간 BMAP/G/1 대기행렬시스템의 대기시간을 분석한다. 고객(또는 패킷)들은 마코비안 도착과정을 따라 집단으로 시스템에 도착하며, 유휴한 서버는 시스템에 도착한 고객집단의 서비스시간의 총합이 이미 정해놓은 임계값 D를 초과하면 시스템에 더 이상 서비스할 고객이 없을 때까지 서비스를 제공한다. 시스템의 안정상태 대기시간 분포를 변환 형태로 구하고 성능척도로서 평균값을 유도하였다. 시뮬레이션을 통하여 이론값들의 타당성을 검증하고 간단한 수치예제를 보였다.

스마트폰 기반 실시간 교통정보를 반영한 버스의 목적지 도착 시간 예측 시스템 개발 (Development of destination arrival time prediction system for bus that applied smart-phone based real-time traffic information)

  • 왕종수;김대영
    • 디지털산업정보학회논문지
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    • 제9권4호
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    • pp.127-134
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    • 2013
  • While there are many services that can check current traffic condition and application program such as bus arrival alarm are developed, since it only provide simple alarm and check level of information, it is still insufficient in many senses. Therefore, the program that try to develop in this study is the system that predict arrival time to destination and inform the bus passengers by applying real time traffic information. The system developed related to this study is still very inadequate. In the system developed in this thesis, when the user input the current bus number and destination using smart-phone, relevant server acquire the bus route information from bus information DB, and analyze real time traffic information based on the information from traffic information DB, and inform customer of expected arrival time to destination. In this thesis, traffic congestion can be eased off and regular operation of public transportation can be improved with reliable destination arrival alarm. Also, it is considered that pattern of bus users can be analyzed by using these information, and analyzing average transport speed and time of public transportation, travel time depending on various situation can give a boost to study related to transportation information and its development.

휴가기간이 고객의 도착에 영향을 받는 휴가형 우선순위 M/G/1 대기행렬 분석 (Analysis of the M/G/1 Priority Queue with vacation period depending on the Customer's arrival)

  • 정보영;박종훈;백장현;이창훈
    • 산업공학
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    • 제25권3호
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    • pp.283-289
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    • 2012
  • M/G/1 queue with server vacations period depending on the previous vacation and customer's arrival is considered. Most existing studies on M/G/1 queue with server vacations assume that server vacations are independent of customers' arrival. However, some vacations are terminated by some class of customers' arrival in certain queueing systems. In this paper, therefore, we investigate M/G/1 queue with server vacations where each vacation period has different distribution and vacation length is influenced by customers' arrival. Laplace-Stieltjes transform of the waiting time distribution and the distribution of number of customers waiting for each class of customers are respectively derived. As performance measures, mean waiting time and average number of customers waiting for each class of customers are also derived.

Exact Asymptotics in a Multi-class M/G/1 Queue

  • 이지연
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2006년도 PROCEEDINGS OF JOINT CONFERENCEOF KDISS AND KDAS
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    • pp.43-47
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    • 2006
  • Consider a multitype queue where queued customers arc served in their order of arrival at a rate which depends on the customer type. Here we calculate the sharp asymptotics of the probability the total number of customers in the queue reaches a high level before emptying. The natural state space to describe this queue is a tree whose branches increase in length as the number of customers in the queue grows. Consequently it is difficult to prove a large deviation principle. Moreover, since service rates depend on the customer type the stationary distribution is not of product form so there is no simple expression for the stationary distribution. Instead, we use a change of measure technique which increases the arrival rate of customers and decreases the departure rate thus making large deviations common.

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D-정책과 집단도착을 갖는 이산시간 MAP/G/1 대기행렬시스템의 일량 분석 (Workload Analysis of Discrete-Time BMAP/G/1 queue under D-policy)

  • 이세원
    • 한국산업정보학회논문지
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    • 제21권6호
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    • pp.1-12
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    • 2016
  • 본 논문에서는 D-정책을 갖는 이산시간 BMAP/G/1 대기행렬시스템의 일량을 분석한다. 유휴한 서버는 시스템에 도착한 고객집단의 서비스시간의 총합이 이미 정해진 일량 임계값 D를 초과하면 시스템에 서비스할 고객이 없을 때까지 서비스를 제공한다. 시스템의 안정상태 일량변환벡터를 유도하고 성능척도로서 평균일량을 구하였다. 시뮬레이션을 통해 이론값들의 타당성을 검증하고 간단한 수치예제를 보였다.

군집분석과 연관규칙을 활용한 고객 분류 및 장바구니 분석: 소매 유통 빅데이터를 중심으로 (Customer Classification and Market Basket Analysis Using K-Means Clustering and Association Rules: Evidence from Distribution Big Data of Korean Retailing Company)

  • 리우룬칭;이영찬;무홍레이
    • 지식경영연구
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    • 제19권4호
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    • pp.59-76
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    • 2018
  • With the arrival of the big data era, customer data and data mining analysis have gradually dominated the process of Customer Relationship Management (CRM). This phenomenon indicates that customer data along with the use of information techniques (IT) have become the basis for building a successful CRM strategy. However, some companies can not discover valuable information through a large amount of customer data, which leads to the failure of making appropriate business strategy. Without suitable strategies, the companies may lose the competitive advantage or probably go bankrupt. The purpose of this study is to propose CRM strategies by segmenting customers into VIPs and Non-VIPs and identifying purchase patterns using the the VIPs' transaction data and data mining techniques (K-means clustering and association rules) of online shopping mall in Korea. The results of this paper indicate that 227 customers were segmented into VIPs among 1866 customers. And according to 51,080 transactions data of VIPs, home product and women wear are frequently associated with food, which means that the purchase of home product or women wears mainly affect the purchase of food. Therefore, marketing managers of shopping mall should consider these shopping patterns when they build CRM strategy.

Sojourn Times in a Multiclass Priority Queue with Random Feedback

  • Hong, Sung-Jo;Hirayama, Tetsuji
    • Management Science and Financial Engineering
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    • 제2권1호
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    • pp.123-145
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    • 1996
  • We consider a priority-based multiclass queue with probabilistic feed-back. There are J service stations. Each customer belongs to one of the several priority classes, and the customers of each class arrive at each station in a Poisson process. A single server serves queued customers on a priority basis with a nonpreemptive scheduling discipline. The customers who complete their services feed back to the system instantaneously and join one of the queues of the stations or depart from the system according to a given probability. In this paper, we propose a new method to simplify the analysis of these queueing systems. By the analysis of busy periods and regenerative processes, we clarify the underlying system structure, and systematically obtain the mean for the sojourn time, i.e., the time from the arrival to the departure from the system, of a customer at every station. The mean for the number of customers queued in each station at an arbitrary time is also obtained simultaneously.

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정보시스템 용량산정방식에 관한 탐색적 연구: 공공부문 H/W 규모산정을 중심으로 (An Exploratory Study on Capacity Sizing Method for Information System: Focus on H/W Sizing in Pubic Sector)

  • 나종회;최광돈
    • 한국IT서비스학회지
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    • 제3권2호
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    • pp.9-23
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    • 2004
  • Interest about Information infrastructure construction is enlarged socially according to arrival of information age, and various information systems are constructed for efficient business processing, customer service in public sector. According to subjective method for performance improvement for information system of public sector and engine that propel information system construction because it is no definite hardware sizing guidelines for information system caterer, is calculating resource volume of information system. It is situation that problem of excess of scale or reduce sizing is happening and is causing various kind of problems that is waste of information budget and service decline thereby. In this research, we proposed hardware sizing framework for information system that is applied to pubic sector.

정보시스템 용량산정프레임워크 연구 -H/W 규모산정을 중심으로 - (A Study on Capacity Sizing Framework for Information System : Focus on H/W sizing)

  • 나종회;최광돈;이승한;이헌중
    • 한국디지털정책학회:학술대회논문집
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    • 한국디지털정책학회 2004년도 춘계학술대회
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    • pp.355-367
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    • 2004
  • Interest about information infrastructure construction is decayed socially according to arrival of information age, and various information systems is constructed for efficient business processing, customer service improvement in public sector. According to subjective method of performance improvement for information system of public sector and engine that propel information system construction bemuse it is no definite hardware sizing guidelines for introduction or system caterer, is calculating resources scale of information system. Is situation that problem of excess of scale or reduction sizing is happening, and is causing various kinds problem that is waste of information budget and service decline thereby. So, We proposed hardware sizing framework for information system that is applied to information programs.

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