• 유통과학연구
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• 제18권4호
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• pp.39-50
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• 2020

Purpose: This paper aimed to study the current locations of post offices to analyze service coverage area for parcel delivery in the Eastern Economics Corridor (EEC), which must be considered in the last mile to extend delivery service for e-commerce growth. Thailand Post was the case study in this paper. Research design, data and methodology: To involve solving the delivery service area under the last mile condition, the authors proposed a network analysis to determine service radius by employing a Geographic Information System (GIS). Furthermore, this paper applied Dijkstra's algorithm as a network analysis tool from GIS for analyzing the last mile service coverage area in a new economics zone. At the same time, the authors suggested an approach as a solution to locate last mile delivery center in EEC. Results: The results of the study pointed out that Thailand Post should consider more last mile delivery centers in EEC to support its express service in urban areas as well as improve the efficiency of service coverage for parcel delivery and create more advantages against competitors. Conclusions: This paper proposes a network analysis to extend the last mile service for parcel delivery by following Dijkstra's algorithm from GIS and a solution approach to add more last mile delivery centers. The results of the research will contribute to boosting customer satisfaction for last mile delivery service and enabling easy accessibility to a service center in EEC.

• 산경연구논집
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• 제9권5호
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• pp.25-35
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• 2018

Purpose - The purpose of this paper is to partition a last-mile delivery network into zones and to determine locations of last mile delivery centers (LMDCs) in Bangkok, Thailand. Research design, data, and methodology - As online shopping has become popular, parcel companies need to improve their delivery services as fast as possible. A network partition has been applied to evaluate suitable service areas by using METIS algorithm to solve this scenario and a facility location problem is used to address LMDC in a partitioned area. Research design, data, and methodology - Clustering and mixed integer programming algorithms are applied to partition the network and to locate facilities in the network. Results - Network partition improves last mile delivery service. METIS algorithm divided the area into 25 partitions by minimizing the inter-network links. To serve short-haul deliveries, this paper located 96 LMDCs in compact partitioning to satisfy customer demands. Conclusions -The computational results from the case study showed that the proposed two-phase algorithm with network partitioning and facility location can efficiently design a last-mile delivery network. It improves parcel delivery services when sending parcels to customers and reduces the overall delivery time. It is expected that the proposed two-phase approach can help parcel delivery companies minimize investment while providing faster delivery services.

• 산업경영시스템학회지
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• 제46권2호
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• pp.160-167
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• 2023

This study focuses on the development of a Last-Mile delivery service using unmanned vehicles to deliver goods directly to the end consumer utilizing drones to perform autonomous delivery missions and an image-based precision landing algorithm for handoff to a robot in an intermediate facility. As the logistics market continues to grow rapidly, parcel volumes increase exponentially each year. However, due to low delivery fees, the workload of delivery personnel is increasing, resulting in a decrease in the quality of delivery services. To address this issue, the research team conducted a study on a Last-Mile delivery service using unmanned vehicles and conducted research on the necessary technologies for drone-based goods transportation in this paper. The flight scenario begins with the drone carrying the goods from a pickup location to the rooftop of a building where the final delivery destination is located. There is a handoff facility on the rooftop of the building, and a marker on the roof must be accurately landed upon. The mission is complete once the goods are delivered and the drone returns to its original location. The research team developed a mission planning algorithm to perform the above scenario automatically and constructed an algorithm to recognize the marker through a camera sensor and achieve a precision landing. The performance of the developed system has been verified through multiple trial operations within ETRI.

• 한국항만경제학회지
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• 제40권1호
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• pp.71-85
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• 2024

2020년 COVID19 영향으로 온라인 성장세가 더욱 빠르게 증가하고, 이로 인해 라스트 마일(Last Mile) 서비스 강화를 위해 MFC 필요성이 중요하게 되었으며, 특히 인구 밀집도가 높은 강남, 서초 지역에서 MFC(Micro Fulfillment Center)가 활발히 운영되고 있다. 본 연구는 MFC 운영 사례 연구를 Arc GIS(Geographic Information System)를 활용하여 분석하였으며, 서울의 경우 MFC 4개 거점으로 30분 이내 배송은 불가능하며, 30분 이내 배송을 위해서는 소비자가 많은 지역에 MFC 거점을 촘촘히 확보할 필요성이 있다. 분석 결과 MFC 운영 거점은 주문 후 배송 서비스에 따라 서울시 기준으로 권역별 2개 ~ 3개, 행정구역 별로 최소 1개이상 거점이 필요함을 확인 할 수 있었다.

• 한국빅데이터학회지
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• 제4권2호
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• pp.159-173
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• 2019

말단배송최적화는 도심내 공급사슬의 운영의 핵심적인 역할을 수행하고 있으며, 전체 배송 프로세스에서 가장 복잡하고 많은 비용을 지불해야만 한다. 도심복합물류센터 (Urban Consolidation Center: UCC)는 최근 말단배송 서비스를 운영하고 고객의 수요를 만족시키기 위한 핵심적인 자산으로 인식되고 있다. UCC를 활용할 경우 도심 내 다양한 요인을 고려하여 최적의 배송 과정을 설계함으로써 배송에 소요되는 시간과 이동거리를 최소화할 수 있다는 장점이 존재한다. 본 연구에서는 지리정보시스템 (GIS)를 활용하여 다양한 수리모형이 통합된 시나리오 분석을 활용하기 위한 기법을 제안한다. 특히, 본 연구는 몽골의 수도 울란바타르를 사례로 실제 도심 내 최적 배송네트워크를 설계하는 것을 목표로하고 있다. 이를 위해 위치배분문제와 차량경로문제를 결합하는 기법을 제안하였다. UCC의 위치와 개수를 기반으로 다양한 시나리오를 설계하였으며, 기본적인 총배송거리, 배송시간, UCC의 수 및 필요 차량의 수를 기준으로 시나리오를 평가하였다. 또한, UCC의 건설과 운영에 필요한 전체 비용 관점에서 최적의 시나리오를 비교 선정하였다. 본 연구의 결과는 도심 내 말단 배송을 위한 유통 네트워크를 설계해야 하는 관리자 혹은 정부 기관의 담당자들이 합리적인 의사결정을 내리기 위한 객관적인 근거 자료로 활용될 수 있을 것이다.

• ETRI Journal
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• 제45권2호
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• pp.329-337
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• 2023

For safe last-mile autonomous robot delivery services in complex environments, rapid and accurate collision prediction and detection is vital. This study proposes a suitable neural network model that relies on multiple navigation sensors. A light detection and ranging technique is used to measure the relative distances to potential collision obstacles along the robot's path of motion, and an accelerometer is used to detect impacts. The proposed method tightly couples relative distance and acceleration time-series data in a complementary fashion to minimize errors. A long short-term memory, fully connected layer, and SoftMax function are integrated to train and classify the rapidly changing collision countermeasure state during robot motion. Simulation results show that the proposed method effectively performs collision prediction and detection for various obstacles.

• 한국전자거래학회지
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• 제26권1호
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• pp.67-78
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• 2021

국내 전자상거래는 거래액을 기준으로 최근 5년간 연평균 20% 이상의 성장률을 지속적으로 기록하고 있다. 전자상거래의 급증으로 인해 소비자를 직접 만나기 어려운 유통기업들은 고객과의 유일한 접점이 되는 라스트마일 서비스 경쟁이 치열한데, 특히 최근 가장 경쟁이 뜨거운 배송영역은 서비스 차별화를 위해 풀필먼트 센터의 역할이 매우 중요하다. 소비자가 주문한 제품을 서비스 수준에 맞춰 신속하게 준비 할 수 있는 역량을 반드시 갖추고 있어야 한다. 본 연구는 전자상거래 시장에서 기업이 경쟁력을 갖추기 위한 방안으로써 풀필먼트 센터에서의 신속한 주문처리를 위해 오더피킹 시스템을 대상으로 연구를 진행하였다. 오더피킹 설비에서의 재고 보충 최적화를 위한 수리 모형 알고리즘을 구현하고, 실제 운영 프로세스와 데이터를 활용한 시뮬레이션을 통해 과학적이고 객관적인 방법으로 효과를 검증하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제14권1호
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• pp.85-94
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• 2022

Recently, consumers who prefer contactless consumption are increasing due to pandemic trends such as Corona 19. This is the driving force for developing the last mile-based logistics ecosystem centered on the online e-commerce market. Lastmile led to the continued development of the logistics industry, but increased the amount of cargo in urban area, and caused social problems such as overcrowding of logistics. The courier service in the logistics base area utilizes the process of visiting the delivery site directly because the courier must precede the loading work of the cargo in the truck for the delivery of the ordered product. Currently, it's carried out as automated logistics equipment such as conveyor belt in unloading or classification stage, but the automation system isn't applied, so the work efficiency is decreasing and the intensity of the courier worker's labor is increased. In particular, small-scale courier workers belonging to the sub-terminal unload at night at underdeveloped facilities outside the city center. Therefore, the productivity of the work is lowered and the risk of safety accidents is exposed, so robot-based loading technology is needed. In this paper, we have derived the top-level concept and requirements of robot-based loading system to increase the flexibility of logistics processing and to ensure the safety of courier drivers. We defined algorithms and motion concepts to increase the cargo loading efficiency of logistics sub-terminals through the requirements of end effector technology, which is important among concepts. Finally, the control technique was proposed to determine and position the load for design input development of the automatic conveyor system.