• Journal of Information Technology Applications and Management
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• 제18권1호
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• pp.125-141
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• 2011

As the sales volume of online shops increases, the job burden in the back-offices of the online shops also increases. Order picking is the most labor-intensive operation among the jobs in a back-office and mid-size pure click online shops are experiencing the time delay and complexity in order picking nowadays while fulfilling their customers' orders. Those warehouses of the mid-size shops are based on manual systems, and as order pickings are repeated, the warehouses get a mess and lots of products in those warehouses are getting missing, which results in severe delay in order picking. To overcome this kind of problem in online clothing shops, we research a methodology to locate warehousing products. When products arrive at a warehouse, they are packed into a box and located on a rack in the warehouse. At this point, the operator should determine the box to be put in and the location on the rack for the box to be put on. This problem could be formulated as an Integer Programming model, but the branch-and bound algorithm to solve the IP model requires enormous computation, and sometimes it is even impossible to get a solution in a proper time. So, we relaxed the problem, developed a set of heuristics as a methodology to get a semi-optimum in an acceptable time, and proved by an experiment that the solutions by our methodology are satisfactory and acceptable by field managers.

• 로봇학회논문지
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• 제17권4호
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• pp.407-416
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• 2022

Multiple AMRs have been proved to be effective in improving warehouse productivity by eliminating workers' wasteful walking time. Although Multi-agent Path Finding (MAPF)-based solution is an optimal approach for this task, its deployment in practice is challenging mainly due to its imperfect plan-execution capabilities and insufficient computing resources for high-density environments. In this paper, we present a MAPF-based fleet management system architecture that robustly manages multiple robots by re-computing their paths whenever it is necessary. To achieve this, we defined four events that trigger our MAPF solver framework to generate new paths. These paths are then delivered to each AMR through ROS2 message topic. We also optimized a graph structure that effectively captures spatial information of the warehouse. By using this graph structure we can reduce computational burden while keeping its rescheduling functionality. With proposed MAPF-based fleet management system, we can control AMRs without collision or deadlock. We applied our fleet management system to the real logistics warehouse with 10 AMRs and observed that it works without a problem. We also present the usage statistic of adopting AMRs with proposed fleet management system to the warehouse. We show that it is useful over 25% of daily working time.

• 한국항만경제학회지
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• 제29권2호
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• pp.195-209
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• 2013

데이터 웨어하우스는 운영 시스템이 아닌 "경영층의 의사결정지원을 위한, 통합적, 시계열적, 주제 지향적, 비휘발성적인 데이터의 집합"으로 정의된다. 데이터 웨어하우스는 기업정보처리를 위한 기본적인 아키텍처로 데이터가 공급되었다고 해서 정보의 창조와 사용과 직결되지는 않는다. 데이터 웨어하우징 시스템은 데이터 공급이 아니라, 정보의 사용을 주목적으로 하고 있다. 현재의 항만공사 운영시스템인 Port-MIS에서는 데이터베이스 구성이 전체적인 데이터 아키텍처 하에서 구성되지 않고 업무별 데이터베이스, 목적별 데이터베이스 형태로 구성되어 있다. 이러한 점들 때문에 데이터베이스 확장에 한계가 있고 데이터 불일치 등이 발생할 수 있으며, 전사적 데이터 자산관리가 이루지기 어렵다고 볼 수 있다. 이에 본 연구에서는 항만공사의 운영을 위한 데이터 웨어하우스 구현 방안을 개념적 연구로 제안하였다.

• Journal of the Korean Wood Science and Technology
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• 제24권2호
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• pp.71-80
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• 1996

Handling the manufacured goods is the most cost-consuming task in material handling system in wooden furniture industries. Fully automated warehouse for cartoned goods of a furniture manufacturing company was analized to provide plant engineers and managers with some important informations on the utility and profitability of the automated storage and retrieval system(AS/RS). Process-oriented simulation modeling tech-niques were used to describe the system and to propose some alternatives to promote the efficiency of AS/RS. Simulation report could be inter-preted as follows: 1. Warehouse for the furniture goods must be designed in accordance with reliable material handling program and constructed with suitable equipments depending on the specification of packed products. 2. An excess of palletized products induced the indigestion and the inefficiency of AS/RS of the furniture industry and put this high-costly system into the shade. 3. Overcrowded AS/RS of the furniture factories could regain its material handling function by cutting down the deposit of products into the automated warehouse. For this purpose, reducing the regular output and direct delivering the outside products to the destination should be considered as the definite counterplan. And additional operation of conventional handy warehouse was also expected to improve the efficiency of main AS/RS.

• 반도체디스플레이기술학회지
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• 제21권2호
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• pp.90-94
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• 2022

In order to minimize the picking time when the products are released from the warehouse, they should be located close to the exit when the products are released. Currently, the warehouse determines the loading location based on the order of the requirement of products, that is, the frequency of arrival and departure. Items with lower requirement ranks are loaded away from the exit, and items with higher requirement ranks are loaded closer from the exit. This is a case in which the delivery time is faster than the products located near the exit, even if the products are loaded far from the exit due to the low requirement ranking. In this case, there is a problem in that the transit time increases when the product is released. In order to solve the problem, we use the idle time of the stocker in the warehouse to rearrange the products according to the order of delivery time. Temporal difference learning method using Q_learning control, which is one of reinforcement learning types, was used when relocating items. The results of rearranging the products using the reinforcement learning method were compared and analyzed with the results of the existing method.

• 산업공학
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• 제17권4호
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• pp.426-439
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• 2004

This research discusses knowledge contents needed to build an OLAP system for medical sector, OLAP functionalities from past studies, and a medical intelligence system which is a kind of OLAP. The knowledge requirements which consist of nine contents and OLAP fundamental functionalities are applied to the system. Most past studies have focused on developing a medical data warehouse rather than OLAP. The medical intelligence system supplies health care providers (i.e., doctors, clinicians, researchers and nurses) and non-providers (i.e., managers and business analysts) with multidimensional OLAP functionalities. The system can be used to gain a deeper understanding of specific medical issues. In this research, we focus not on medical data warehouse, but on the technical challenges of designing and implementing an effective medical intelligence system for health care information. An architecture is applied to developing the medical intelligence system for a medical center in order to illustrate its practical usage. Six packages in the developed system are discussed in this research: Explorer, Analyzer, Reporter, Statistician, Visualizer, and Meta Administrator packages. Evaluation of the system and ongoing research directions conclude the research.

• 한국컴퓨터정보학회논문지
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• 제14권9호
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• pp.205-210
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• 2009

본 논문에서는 농수산물을 저장 관리를 목적으로 유비쿼터스 센서로부터 획득한 상황 정보를 활용하여 창고관리 정보를 공유하고 분산시키기 위한 온톨로지 기반 상황인지 시스템 모델링에 관하여 제안한다. 오늘날 우리 생활속에 유비쿼터스 기술이 확산됨에 따라 정보에 대한 중요성은 더욱 증가하고 있다. 뿐만 아니라, 하나의 도메인에 대한 온톨로지의 중요성도 또한 증가하고 있다. 그러므로 본 논문에서는 상황정보 상태에 대한 정보를 획득하기 위해서 무선 센서로부터 획득한 정보가 온톨로지에서 활용될 수 있도록 온톨로지 기반의 농수산물 웨어하우스 모델을 설계한다. 이를 통해 농수산물용 창고 관리가 상황점보에 따라 사용자, 장치들 및 서비스사이에 의미가 상호 연동할 수 있는, 의미정보 구조에 대한 공통의 이해를 공유할 수 있도록 온톨로지로 표현된 결과를 보인다.

• Journal of Information Processing Systems
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• 제6권3호
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• pp.385-402
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• 2010

Most of the data warehouse (DW) requirements engineering approaches have not distinguished the early requirements engineering phase from the late requirements engineering phase. There are very few approaches seen in the literature that explicitly model the early & late requirements for a DW. In this paper, we propose an AGDI (Agent-Goal-Decision-Information) model to support the early and late requirements for the development of DWs. Here, the notion of agent refers to the stakeholders of the organization and the dependency among agents refers to the dependencies among stakeholders for fulfilling their organizational goals. The proposed AGDI model also supports three interrelated modeling activities namely, organization modeling, decision modeling and information modeling. Here, early requirements are modeled by performing organization modeling and decision modeling activities, whereas late requirements are modeled by performing information modeling activities. The proposed approach has been illustrated to capture the early and late requirements for the development of a university data warehouse exemplifying our model's ability of supporting its decisional goals by providing decisional information.

• 한국직업건강간호학회지
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• 제26권3호
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• pp.133-141
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• 2017

Purpose: The purpose of this study was to identify the relationship between work-related characteristics and job stressors and the factors influencing musculoskeletal symptoms of the warehouse employees. Methods: The research was a cross-sectional, descriptive study. Data were collected from 319 warehouse employees who agreed to participate in the study by using self-report questionnaires. Data were analyzed using descriptive statistics, $x^2-test$, and logistic regression analysis (SPSS 18.0). Results: The overall prevalence of musculoskeletal symptoms was 37.6%. The logistic regression analysis revealed a posture that renders fatigue or pain, repetitive work, and a higher total score of job stressors as the risk factors for musculoskeletal symptoms in many body parts. Conclusion: Employers should plan to educate employees who work in warehouses about the correct working posture to prevent musculoskeletal diseases, stop repetitive work, and manage job stressors.

• 한국컴퓨터정보학회논문지
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• 제15권1호
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• pp.201-206
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• 2010

유비쿼터스 기술개발에 따라 농산물을 저장 및 관리를 주 기능으로 하는 창고시스템의 관리는 효과적으로 이루어지고 있다. 이에 본 논문에서는 유비쿼터스 센서를 사용하여 농산물을 저장하고 관리하기 위한 목적으로 온톨로지 기반 상황 인지 시스템 모델을 제안하여 정보를 공유하고 분산하도록 한다. 오늘날 우리 생활속에 유비쿼터스 기술이 확산되어짐에 따라 정보에 대한 중요성은 점진적으로 증가하고 있다. 뿐만 아니라, 한 도메인에서 온톨로지의 중요성 또한 중요해지고 있다. 그러므로 본 논문에서는 센서와 같은 유비쿼터스 장치로부터 데이터를 획득하는데 초점을 두고 기술하고 있으며, 온톨로지 기반 농수산물 창고 모델을 설계하고 구축한것을 보인다.