• 제목/요약/키워드: 크로스 도킹

검색결과 16건 처리시간 0.02초

공군 군수지원체계에 SCM 도입방안 연구 (A Study on the Introduction of SCM for Air Force Logistics Support System)

  • 현성문;최석철
    • 한국국방경영분석학회지
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    • 제32권2호
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    • pp.40-55
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    • 2006
  • 본 연구논문에서는 공군 군수지원체계에 대한 SCM 도입방안 제시를 목적으로 한다. 이것을 제시하기에 앞서 이해를 돕기 위해 SCM의 개념과 관련기법들을 살펴보고, SCM을 바탕으로 군수개혁에 성공한 미국의 사례를 분석하였다. 공군 군수지원체계 중에서 중요하다고 판단되는 항공기 수리부속에 대한 수송체계와 보급정보체계 측면에서 SCM 도입방안을 제시하였다. 공군은 첨단정보통신기술을 기반으로 하며, 저비용, 고효율의 혁신적인 군수지원체계를 구축함으로써 완벽한 임무지원능력을 배양할 수 있게 될 것이다.

물류거점 변경에 따른 크로스-도킹 거점 입지 선정에 관한 연구 (A Study on Selection of Cross-Docking Center by Changing the Logistics Location)

  • 이인철;이명호;송정은;김내헌
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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    • pp.1754-1757
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    • 2006
  • Recently many firms operate a cross-docking center in addition to run a distribution center to reduce logistics costs and maintain or enhance logistics service. However, it is true that many firms just operate their cross-docking centers as they are without any change, in spite of that the location of the cross-docking center should be changed and operated when the location of distribution center is changed and moved. This study presents the method that re-selects the location of the cross-docking center when the existing distribution center is changed. Describing the operation environment to apply the cross-docking system and the selection criteria of the cross-docking center under the environment of changeable logistics network, we define the simulation model which can analyze and select the location of the cross-docking center applied to a logistics field. The simulation model presents experiential algorithm selecting the location with the data of the demand point such as volume, transportation costs, and delivery distance.

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기존 물류 네트워크 기반에서 크로스 - 도킹 거점선정에 관한 연구 (A Study on Selection of Cross-Docking Center based on Existing Logistics Network)

  • 이인철;이명호;김내헌
    • 산업공학
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    • 제19권1호
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    • pp.26-33
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    • 2006
  • Many Firms consider the application of a cross-docking system to reduce inventory and lead-time. However, most studies mainly concentrate on the design of a cross-docking system. This study presents the method that selects the cross-docking center under the existing logistics network. Describing the operation environment to apply the cross-docking system, the selection criteria of the cross-docking center, and the main constraints of transportation planning under the environment of multi-level logistics network, we define the selection problem of the cross-docking center applied to a logistics field. We also define the simulation model that can analyze variously the cross-docking volume and develop the selection methodology of the cross-docking center. The simulation model presents the algorithm and influence factors of the cross-docking system, the decision criteria of the system, policy parameter, and input data. In addition, this study analyzes the effect of increasing the number of simultaneous receiving and shipping docks, and the efficiency of the overnight transportation and cross-docking by evaluating each scenario after simulating the scenarios with the practical data of the logistics field.

다수의 도어를 갖는 크로스도킹 터미널에서 입고와 출고를 병행하는 트럭일정계획을 위한 유전알고리즘 (A Genetic Algorithm for Scheduling of Trucks with Inbound and Outbound Process in Multi-Door Cross Docking Terminals)

  • 주철민;김병수
    • 대한산업공학회지
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    • 제37권3호
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    • pp.248-257
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    • 2011
  • Cross docking is a logistics management concept in which items delivered to a terminal by inbound trucks are immediately sorted out, routed and loaded into outbound trucks for delivery to customers. Two main advantages by introducing a cross docking terminal are to consolidate multiple smaller shipment into full truck load and remove storage and order picking processes to save up logistics costs related to warehousing and transportation costs. This research considers the scheduling problem of trucks in the cross docking terminals with multi-door in an inbound and outbound dock, respectively. The trucks sequentially deal with the storage process at the one of inbound doors and the shipping process at the one of the outbound doors. A mathematical model for an optimal solution is derived, and genetic algorithms with two different chromosome representations are proposed. To verify performance of the GA algorithms, we compare the solutions of GAs with the optimal solutions and the best solution using randomly generated several examples.

크로스도킹 거점 결정을 위한 연구 -지역거점을 중심으로- (Study for determining cross docking point local bases approach)

  • 김기홍
    • 대한안전경영과학회지
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    • 제19권3호
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    • pp.129-135
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    • 2017
  • The respective delivering vehicle loaded with the own cargo moves into the respective delivery area. At the base, the delivery points D1 and D2, for example, have the same starting point but the destination is different. The average delivering time of the delivery vehicle is mostly more than 8 hours a day. Therefore, the efficiency of delivery is generally low. In this study, the deliveries will be forwarded from a base station to a delivery point where cross docking will be applied to a single vehicle, and will be distributed from the cross docking point through cross docking. If the distribution is implemented, one vehicle will not have to be operated from the base to the cross docking point. In that case, logistics cost will be reasonably saved by the reduction of transportation cost and labor time. If one vehicle only runs from the base to the cross docking point, each vehicle will be operated in two shifts, and the vehicle operation can be efficiently implemented. This research model is based on the assumption that the 3 types of ratios between the traffic volume of the vehicles starting at the base and the vehicles waiting at the cross docking point are set to the first ratio of 30% to 70%, the second ratio of 50% to 50% and the final ratio of 70% to 30%. As a result of the study, The delivery time in the cross docking point is much higher than that in present on the condition that the cargo volume in the D2 area is more than 50%. Likewise, the delivery time is slightly higher on the condition that the cargo volume is less than 50%. Time is reduced in terms of 50% model like AS-IS model.

대형종합병원의 헬스케어 공급망관리 도입에 관한 탐색적 연구 (An Exploratory Study on Healthcare Supply Chain Management of Large Hospitals)

  • 박성택;김태웅;김미량
    • 디지털융복합연구
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    • 제17권5호
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    • pp.145-155
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    • 2019
  • 의료산업분야에서도 헬스케어 공급망관리는 서비스품질 개선과 운영비용 절감을 위한 핵심도구로 많은 주목을 받고 있다. 특히 대형병원의 경우 서비스품질 제고와 병행하여 지속적으로 증가하기만 하는 헬스케어비용을 줄이기 위해 노력하는 현 상황에서 공급망 부문의 성과제고는 전략적으로 더욱 중요해지고 있다. 본 논문은 공급망관리를 통해 대형병원의 성과제고에 기여할 수 있는 병원운영상의 전략적 이슈에 대해 논의하고자 한다. 기존 연구논문 및 관련 자료분석을 통해 대형병원의 헬스케어 공급망관리의 기본 틀을 제시하고 운영 과정상의 정보 가시성과 공유 그리고 표준화 등이 핵심 요소임을 논리적으로 제시하였다. 또한 실제적인 공급망 운영을 위해 효율적인 계획수립과 운영프로세스, 각종 기자재의 추적가능성 극대화를 위한 RFID 활용, 의약품과 각종 소모품재고 절감을 위한 크로스 도킹시스템의 도입도 제안하였으며, 본 연구에서 논의한 공급망관리 운영기법에 대한 시사점도 제시하였다.