• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.401-412
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• 2020

This study analyzed the causes of warehouse fires using a creative problem-solving technique called TRIZ. It identified preventive measures by applying 4M. The results are as follows. First, this study examined the inconsistency among the causes of warehouse fires using TRIZ. Second, it analyzed human factors and fire prevention measures in warehouses such as safety standards for managers, and methods for the promotion of safety consciousness among workers, and for the reinforcement of construction technology for sandwich panel workers. Third, it identified the mechanical and facility factors and fire prevention measures in warehouses such as safety facilities, the expanded installation of safety devices, the adoption and development of fire suppression equipment, and the deployment of methods to improve the fire resistance of sandwich panels. Fourth, it presented working and environmental factors and fire prevention measures in warehouses such as the tightening of safety precautions and the supervision of working methods, and setting fire partitions both in loading places and based on performance-based design. Finally, it proposed managerial factors and fire prevention measures in warehouses such as specific targeting for firefighting with low fire hazards, reviewing the material quality regulations of non-combustible or higher for sandwich panels in the specific target of firefighting that cannot apply fire safety standards, installing sprinklers in cold storage, and mandating the installation of automated facilities with retroactive application regardless of the floor area in the warehouse with a sandwich panel structure.

• Journal of Korea Port Economic Association
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• v.28 no.2
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• pp.113-128
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• 2012

By strengthening the market control and expanding the networks, providers of global logistics are expanding their service scope. Warehouses connects networks to between internal and external warehouses worldwide by using employees. The paper focuses on analyzing the efficiency of the top forty Global Logistics Providers. Therefore, the study classifies the factors which specify the efficiency of a total logistics industry and verified its firmness. Furthermore, the most recent published reports by Logistics Quarterly and Armstrong Association in 2012 was used in order to guarantee credibility of the study. For scope period for analysis, this study utilizes three years of materials, from 2007 to 2010. By applying the DEA Window model and Malmquist, the trend in efficiency and stableness was analyzed. Consequently, the main purpose of the paper is evaluating the efficiency. Also, analyzing its determinants and illustrating a long-term relationship between the annual turnover and the number of Industry Focus/Key Customers was used as output measures. In addition, the number of warehouses worldwide and employees worldwide, of Logistics Providers were used as input measures.

• Fire Science and Engineering
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• v.30 no.2
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• pp.98-105
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• 2016

A fire risk assessment in rack-type warehouse is typically determined based on the following factors: 1. flammability and fire loads for storage of goods, packing materials, and pallet, 2. a ceiling height of warehouse indoor spaces, and 3. height, arrangement, and spacing for storage racks. For appropriately extinguishing and protecting the fire in warehouses, therefore, it is necessary to classify combustibles considering the previously mentioned factors and to develop design Standards for sprinkler system. As the first step to apply automatic sprinkler system to domestic warehouses, this study investigated characteristics for commodity distribution and warehouse configuration using 28 warehouses in five distribution complexes located in Gyeonggi-do, South Korea. In addition, this study analyzed Standards for commodity distribution adopted in USA, Europe, and Japan. Using the field survey analysis, this study was aimed to provide baseline data to prepare for Commodity Classification Standard for warehouses in South Korea.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2023.10a
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• pp.10-13
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• 2023

• LOGISTICS
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• no.7
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• pp.38-40
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• 2003

한국물류협회는 지난 5월 13일 협회 회의실에서 ‘WMS의 이론과 실제’라는 주제로 물류정보화연구회를 개최했다. 이날 발표는 CJ GLS의 김성주 부장이 ‘3PL기업에서의 WMS'', 노틸러스 효성의 신재천 팀장이 ’WMS 사례발표‘라는 주제로 각각 발표를 했다. 본지는 이날 개최된 연구회 발표 자료중 CJ-GLS ENG팀 김성주 부장이 발표한 ’창고관리시스템 CASE STUDY''를 요약 게재한다.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.1
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• pp.22-30
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• 2008

Warehouse has many changes for the stocks by entering and taking. Management about the stocks is important. To manage, sensor network based on RFID is deployed in warehouse. Sensor network uses fluster based on energy and hierarchical routing. Supporting mobility between clusters makes guarantee connectivity for mobile nodes.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.267-268
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• 2024

한국통합 물류협회에 따르면 총 택배 물량은 2020년은 약34억 개, 2021년은 약36억 만 개로 매년 꾸준히 성장하였다. 택배 물류센터에서 택배를 고객에게 전달시키기 위해서는 포장, 검수, 진열, 파지, 상차, 하차 등 많은 공정이 필요하다. 고용 인력의 부족, 인건비 상승, 부상의 위험, 높은 노동의 강도 등의 문제가 발생하였고, 소비자들의 입장에서도 제품 손상 또는 배송 지연 등의 여러 가지 문제를 야기해왔다. 본 논문은 로봇과 자율주행 기술을 활용하여 상품의 분류 및 배송과정을 자동화 하는 '스마트 물류창고 시스템'을 제안한다. 컨베이어 벨트를 이용해 택배물품의 분류를 자동화하고 자율주행 차량을 통해 배송을 하게 되고 DB를 통해 물품을 관리하게 되어 효율적인 운영을 가능하게 하고 경제적 손실을 줄인다. 적외선 센서, 바코드 센서를 이용해 컨베이어 벨트 구동 및 물품의 정보를 알 수 있으며 서보모터로 물품을 분류한다. 또한 입출고 차량이 명령을 통해 물품을 자동으로 입고 및 출고하여 DB에게 물품의 정보를 전송한다. 스마트 물류창고 시스템을 통해 인건비 절감, 오 배송, 물품 파손 등이 사라지게 되고 물류창고 뿐만 아니라 다양한 분야에서 적용 할 수 있을 것이다.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.608-623
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• 2023

Purpose: Recently, the number of logistics warehouses has been on the rise. In addition, as the number of such logistics warehouses increases, number of fire accidents also increases every year, increasing the importance of preventing fires in large logistics warehouses. Method: investigated aspirating smoke detectors that are emerging as adaptive fire detectors in logistics warehouses. Then, through fire simulation (FDS), logistics warehouse modeling was conducted to compare and analyze the detection speed of general smoke detectors and aspirating smoke detectors according to four stages of fire growth and three locations of fire in the logistics warehouse. Result: Growth speed in Slow-class fires and Mediumclass fires, the detection speed of aspirating smoke detectors was faster regardless of the location of the fire. However, in Fast-class fires and Ultra-Fast-class fires, it was confirmed that the detection speed of general smoke detectors was faster depending on the location of the fire. Conclusion: It was confirmed that the detection performance of the aspirating smoke detector decreased as the fire growth speed increased and the location of the fire occurred further than the receiver of the aspirating smoke detector. Therefore, even if an aspirating smoke detector is installed in a warehouse that stores combustibles with high fire growth rates, it is judged that an additional smoke detector is attached far away from the receiver of the general smoke detector to increase fire safety.

• Journal of the Korea Society of Computer and Information
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• v.8 no.4
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• pp.159-164
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• 2003

Location of stock in a warehouse directly affects the total materials handling expense of all goods moving through the warehouse. The purpose of this paper is to develop a storage policy in order picking warehouse, the block-based storage policy to minimize the total order picking time. In block-based storage policy, the rack is divided into blocks and items are assigned to each block based on the turn-over rate of each item and the average distance between the blocks and the dock. To demonstrate the performance of the proposed policy, we compare with the existing method called class-based storage policy under various matching methods.

• Proceedings of the Safety Management and Science Conference
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• 1999.11a
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• pp.123-131
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• 1999

최근에는 수요자 요구의 다양화, 전문인력의 부족, 고임금화, 열악한 작업장에서의 작업기피 현상 등의 영향으로 인해 생산 및 물류의 자동화가 활발히 추진되고 있다. 생산 및 물류시스템의 자동화가 진전됨에 따라 전체 시스템의 물류합리화에 중요한 역할을 담당하는 자동창고 시스템에 대한 설비관리 체계 구축이 필요하게 되었고, 그 일환으로 본 연구에서는 자동창고에 대한 예방보전 및 원인진단을 지원하는 자동창고의 예방보전 및 진단시스템을 개발하였다. 특히 자동창고의 이상을 진단하는데 과거의 트러블내용을 사례로 등록시키고, 전문가가 문제해결에 사용한 경험데이타, 즉 조사항목, 조사결과 및 대처내용을 진단용 사례기반 추론베이스로 구축하여 활용하는 사례기반추론(Case Based Reasoning)방법으로 접근시켰다. 또한 자동창고시스템의 예방보전, 사후보전, 이력관리 기능을 수행할 수 있는 운영소프트웨어를 개발하였다.