딥러닝과 스테레오 카메라를 이용한 객체 거리 추출 방법

박민홍,원종운,조재훈,김용태 한국물류과학기술학회 2020 물류과학기술연구 Vol.1 No.1

In this paper, we proposed a method to calculate the linear distance value according to the location of the delivery box and the stereo camera. The proposed method recognizes individual delivery boxes using YOLOv4, and calculates the vertical plane position of the camera and the linear distance between the boxes using the IMU sensor mounted on the stereo camera. In order to evaluate the performance of the proposed algorithm, a laboratory-scale experimental space was constructed, and the measured distance of the actual delivery box and the output distance of the proposed algorithm were compared.

뉴노멀 시대에 대응하는 디지털 생활물류 공동 플랫폼 활용 제안

임승찬,박진희 한국물류과학기술학회 2022 물류과학기술연구 Vol.3 No.1

The advent of the COVID-19 crisis brought dramatic changes in our cities. As the contactless society becomes commonplace in the New Normal era, further expansion of the e-commerce business is highly predicted. Despite the high demand in the e-commerce market, logistic companies have been unable to offer flexible last-mile services due to excessive competition and the domination of the last-mile market by some of the major companies. This study aims to propose a joint digital life logistics platform system in response to the new normal era to alleviate excessive competition and improve inefficient last-mile services of blue-chip companies by studying the feasibility for joint life logistics through case analysis. An operation plan for the digital urban life logistics joint platform was suggested to improve the quality of last-mile services and seek solutions to the joint logistics by balancing competition and collaboration among logistics service providers.

반도체 Back-end Process의 Miniload AS/RS 개발 및 구현(사례연구)

장용훈,판야카미,장윤석 한국물류과학기술학회 2022 물류과학기술연구 Vol.3 No.1

A Miniload AS/RS system is a logistics automation system that supports the storage and in/outbound of various types of cargo. It can hold up to 50kg of cargo per tote box and is widely used in places that require the storage of small quantities of various types of goods. Mini-Load system is already applied in various types of Logistics warehouses. This study conducted a study on introducing Mini-load AS/RS to improve logistics work in the semiconductor back-end process. We gathered and analyzed various types of data considering the overall production environment, which includes the processing time, transportation time of worker/WIP and requirements/constraints of the field. By automating labor-intensive, inefficient work environments such as transporting and picking work that depends only on human resources, improvements such as minimizing picking work time, operator’s travel distance, and reducing workspace were obtained. To demonstrate the superiority and efficiency of Miniload AS/RS, we compared travel distance, working time and space utilization using real data. From the results, we verify that the proposed automation system can enhance productivity and improve the working environment.

불균등한 시설배치문제를 위한 Coral Reef Optimization 방법론 적용

정동진,채준재 한국물류과학기술학회 2022 물류과학기술연구 Vol.3 No.1

Unequal area facility layout problem is an optimization problem that we place given departments on given floor space to minimize total material handling movement or maximize its efficiency. We study to find its applicability of Coral Reef Optimization to unequal area facility layout problem. Coral reef optimization is relatively new and there are not many researches applying this method to layout design. Specifically, a slicing tree structure is used to place rectangular shape blocks which represent functional departments in manufacturing system and the coral reef optimization is improving its fitness which is represented by total material movement based on the given configuration. The instances from previous literature are used to experiment and the results were compared to optimal solutions. To see the applicability, we only take small problems less than 20 blocks and result shows that the coral reef optimization properly work with unequal area facility layout problem.

강건한 선석 계획을 위한 가우시안 혼합 모델 기반의 완충 시간 적용

우성훈,박현지,전성우,김아름,조성원 한국물류과학기술학회 2022 물류과학기술연구 Vol.3 No.1

With global changes as the spread of COVID-19, resource management of container terminals has become more difficult. For this reason, terminal managers have to come up with robust schedules to manage vessels, and many research have conducted to provide robust berth schedule from disruptions such as vessel delays. In this paper, a two-phase mathematical model is proposed to generate a robust berth schedule with GMM(gaussian mixture model)-based buffer time. In phase 1, tardiness cost is minimized and the best berthing position is determined. In phase 2, the schedule is rescheduled to minimize the deviation from the baseline schedule obtained by phase 1. At the same time, in order to assign optimal buffer time to each vessel, historical data is analyzed and applied to the proposed model by utilizing machine learning techniques. The proposed method, compared to conventional methods, showed improvement in reducing the total cost incurred for a terminal when encountered with disruptions.

자율주행용 가변화각 카메라의 물류이송로봇 적용을 통한 물류창고 안전성 및 운영 정확도 향상에 관한 연구

김민중,최경락,김동현,김영민 한국물류과학기술학회 2022 물류과학기술연구 Vol.3 No.1

Today, the development of the Internet and mobile technologies has a great influence on consumer purchasing patterns. As online purchases using mobile devices increase, the delivery industry for logistics delivery has also increased significantly. However, the working environment in the logistics warehouse is still poor. To improve this, many companies have conducted a lot of research and development on logistics robots, and various logistics robots have been operated. But, there are still limitations to unmanned. In this paper, a variable focus function camera and RSS model used in autonomous vehicles were derived to be suitable for AGVs. It was applied to the derived AGVs and verified in terms of safety and accuracy, and valid result were obtained. It is expected that this study will contribute to the use of AGVs that can operate unmanned logistics warehouse.

산업연관표를 활용한 물류산업의경제적 파급효과 변화분석

김도훈,우엔,하헌구 한국물류과학기술학회 2023 물류과학기술연구 Vol.4 No.2

In this study, the logistics industry, which is gradually increasing in scale, is analyzed using input-output analysis as one of the leading industries driving the development of the national economy. Each transportation service in the input-output table is classified into passenger and freight sectors based on production values, and the Input-Output table is restructured into 20 industries. The analysis covers a period from 2000 to 2019, utilizing five-year interval Input-Output tables over approximately 20 years. The study presents the analysis results on the production-induced effects, value-added effects, forward linkage effects, backward linkage effects, and supply constraints of the logistics industry. This study observed that the production-induced and value-added effects of railway freight transportation services decreased over time while those of parcel services increased. The logistics industry exhibited lower forward linkage effects compared to backward linkage effects. Based on these analytical results, the study provides a foundation for future planning for each logistics industry and offers insights into the development of the logistics industry.

국내 의약품 온도관리 실패 사례 분석을 통한 의약품 콜드체인의 개선방안

이종희,김은조,장희수,장호성 한국물류과학기술학회 2022 물류과학기술연구 Vol.3 No.1

Cold chain is known as "logistic that maintains appropriate temperatures," and among cold chains, pharmaceutical cold chain is characterized by important temperature management. However, as can be seen in the cases of Covid-19 vaccine, flu vaccine refrigerant contact, and S medicine, the cold chain of domestic medicine continues to fail to control the temperature. Therefore, this paper will derive the problems of domestic pharmaceutical cold chains (complex distribution structure, insufficient guidelines, and the absence of unified institutions) based on the actual case of temperature management failure. In order to solve this problem, it will be concluded by establishing a legal system to simplify the complex distribution structure, detailed and accurate regulations to prevent temperature fluctuations in the drug cold chain as much as possible, and suggesting measures nationwide management and supervision by the Ministry of Food and Drug Safety.

식자재 콜드체인 배송차량 적재 변수별적정온도 도달에 미치는 영향

류성호,조상근,박민영 한국물류과학기술학회 2023 물류과학기술연구 Vol.4 No.2

The food material sector is an industry mainly carried out in the B2B area. Food materials are the areas of food consumed outside the home where people live. It is an activity that everyone does outside for one or two meals while social activities. Because it is so close and important to people's lives, the management of the process of supplying food must be systematic. This study analyzed the effect of food cold chain delivery vehicles on reaching an appropriate temperature for each loading variable. The relationship between the legal refrigeration and freezing compliance temperature for each delivery vehicle loading variable was analyzed and the evidence for the effect was presented. As a result of the study, the characteristics of variables by load, weight, and number of loading applause in the delivery vehicle were analyzed, and significant results were derived from each study. The results of this study are intended to provide an important basis for efficient management of the food cold chain logistics system and optimization of the loading of delivery vehicles.

전기자동차의 드론 배터리 충전을 고려한 친환경 최적 경로 문제

차형주,김동균,은준엽,정태수 한국물류과학기술학회 2021 물류과학기술연구 Vol.2 No.2

This paper proposes a green vehicle routing problem using a drone where the drone can charge its battery using the electric vehicle. Most of the conventional drone-vehicle collaborative routing problems have an assumption that the battery of a drone is instantly replaced after its delivery. This in turn requires numerous batteries in total, as much as the number of drone launches. However, in this research, we propose a novel routing scheme, where the drone can charge its battery using the electricity of the ground vehicle. Especially, the problem aims to find a route with the lowest total battery consumption, forming an environmental-friendly delivery route. A mixed-integer linear programming model is presented and noticing the complexity, we develop an efficient heuristic algorithm.