• Title/Summary/Keyword: 냉장 물류 창고

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A Study on the Analysis of Success Factors about Frozen and Refrigerated Warehouses using Fuzzy-AHP (Fuzzy-AHP를 활용한 냉동·냉장창고의 운영 성공요인 분석에 대한 연구)

  • Gu, Tae-Jun;Cha, Young-Doo;Nam, Tae-Hyun;Yeo, Gi-Tae
    • Journal of Digital Convergence
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    • v.15 no.11
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    • pp.121-131
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    • 2017
  • The Fuzzy-analytic hierarchy process (AHP) was adopted as the methodology for this study because it allows for the use qualitative judgments by experts. Based on results of the analysis of the success factors for frozen storage/cold storage warehouses, the facility factor was identified as the most important to consider. This factor had a weight of 0.307, followed by systems and operations, accessibility, and standardization/automation with weights of 0.263, 0.255, and 0.175, respectively. The conclusions and implications of the study are as follows. First, the efficiency of constant temperature and humidity systems and the heat insulation property of buildings need to be enhanced. Second, the efficiency of the operations should be enhanced through the standardization of equipment rather than by standardizing product loading. Finally, since logistics and transportation costs are higher for frozen storage/cold storage warehouses than for general distribution, accessibility needs to be considered as the first priority.

An analysis of the Factors of Moving in and Activation Strategies for Incheon Cold-Chain Cluster using LNG cold energy (LNG 냉열을 활용한 인천항 냉동·냉장 클러스터 입주요인 분석 및 활성화 방안 연구)

  • Ahn, kil-Seob;Oh, Jae-Gyun;Yang, Tae-Hyeon;Yeo, Gi-Tae
    • Journal of Digital Convergence
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    • v.17 no.2
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    • pp.101-111
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    • 2019
  • The construction of a "cold-chain cluster," which is a complex of cold-storage warehouses is emerging as an issue in the logistics industry. The Incheon Port Authority, in partnership with Korea Gas Corporation, is carrying out a project to build a cold-storage cluster using cold energy generated in the Songdo LNG receiving terminal. This study proposes a method of activating the cold-storage cluster using the CFPR methodology. An analysis of major factors showed that the most important factor was stability and profitability, which scored 0.281. For sub-factors, sustainable trade volume was the highest in importance, followed by rent level, the sustainability of LNG cold energy utilization technology, competition with general cold-storage warehouses, and exclusion of duplicate investments in facilities. For the future study, the evaluation of complex of cold-storage warehouses using major factors drawn out from this study is needed.

An Evaluation of Cold Chain Cluster Competitiveness in the Metropolitan Area (수도권 콜드체인 클러스터 경쟁력 평가에 관한 연구)

  • Ahn, Kil-Seob;Park, Sung-Hoon;Lee, Hae-Chan;Yeo, Gi-Tae
    • Journal of Digital Convergence
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    • v.18 no.10
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    • pp.181-194
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    • 2020
  • Due to the changes in the distribution market, issues related to storage and distribution of agricultural, aquatic and livestock products, and storage and transportation of processed and fresh food are rapidly emerging, and as a result, Cold Chain is naturally receiving attention as one of the logistics services. The purpose of this study is to evaluate the competitiveness of location in the construction of a cold chain cluster centered on the metropolitan area, which has attracted attention in relation to the distribution of cold chains, such as recently refrigerated frozen foods. To this end, this study evaluated the competitiveness of cold chain cluster candidates in the metropolitan area by utilizing the CFPR (Consistent Fuzzy Preference Relations) method that can efficiently extract and quantify expert knowledge. As a result, the location competitiveness was found to be superior to Incheon New Port's hinterland, Gyeonggi South Area (Yongin), Gyeonggi West Area (Gimpo Logistics Complex), and Pyeongtaek Oseong Logistics Complex. In particular, this study extracted the knowledge of refrigerated and refrigerated logistics warehouse operation experts, and conducted detailed competitiveness assessments for cold chain cluster candidates in the metropolitan area, and suggested the optimal cluster candidates. In the future research, it is necessary to classify the questionnaire into the owner, large business group, and public business group, etc., who have the right to purchase and build to secure ownership of the fresh food distribution center.

Supervisor System Development for Improving Quality of RFID Cold Storage Management Systems (RFID 냉동창고 관리시스템의 품질향상을 위한 슈퍼바이저 시스템 개발)

  • Moon, Mi-Kyeong
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.6
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    • pp.109-117
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    • 2014
  • A cold storage is a warehouse of a insulated building with cooling installations. It has many different types of cold rooms with temperatures below 0 degrees Celsius, and the sequential workflow such as receiving, picking and packing runs in that rooms. Recently, the cold storages have adopted RFID technology, and consequently, warehouse product management in them are becoming intelligent and network. However, information inconsistency in warehouses caused by physical and logical errors reduces reliability in the RFID cold storage management system and worsens their work efficiency. Therefore, it is necessary to develop an early detection system to identify errors. In this paper, we suggest a supervisory system detecting logical errors on business processes of the RFID cold storage. It is composed of a master supervisor and mobile supervisor. In the master supervisor, the manager can set the constraints conditions and get alerts, and in the mobile supervisor, the workers confirm and deal with these faults directly. The supervisory system improve reliability of the RFID cold storage management system by recognizing a failure to identify physically and logically using these constraint conditions. This paper shows that the supervisory system can reduce the average recovery time to improve reliability by decreasing the time for detecting and analyzing errors in the RFID cold storage management system.

Analysis of Amount of Energy Loss for a Dock System in the Cold Distribution Center (냉동 물류 창고 내 도크시스템을 통한 에너지 손실량 분석)

  • Yang, Sungjune;Kim, Youngjoo;Hur, Jun;Kim, Teasung
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.29 no.8
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    • pp.419-428
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    • 2017
  • In this study, energy loss due to ventilation load in the dock system was analyzed through simulation. Also, flow generated in the dock system of the warehouse was measured using manufactured measuring devices. Numerical simulation was conducted by simulating the most common picking tasks by examining the actual working environment. Incompressible and unsteady turbulent flows were assumed, and the turbulence model was the k-e standard model. Proper grid was selected through grid dependency test. Measurement was conducted using Honeywell and Vaisala sensors, and flow and temperature inside the warehouse were measured and compared with simulation results to validate simulation. When comparing amount of loss occurring in two hours and amount of loss occurring in 15 minutes, docking time of the former was eight times longer but energy loss was 3.8 times lower. Ventilation load occurring during the initial period after opening docking system accounted for a large proportion of total ventilation load. Also, comparing the load when the dock was closed and the load when the truck was parked, ventilation load was significantly higher than load due to heat conduction from the wall. Therefore, in improving the docking system, it is effective to reduce the gap by improving compatibility of the docking system and truck, rather than wall material.