• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.273-276
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• 2023

This paper presents the integration of Digital twin and Blockchain-based Supply Chain Management (DB-SCM) in a smart warehouse to create a more efficient, secure, and transparent facility. The process involves creating a digital twin of the warehouse using sensors and IoT devices and then integrating it with a blockchain-based supply chain management system to connect all stakeholders. All data are collected and tracked in real-time as goods move through the warehouse, and smart contracts are automatically executed to ensure accountability for all parties involved. The study also highlights the critical role of effective supply chain management in modern business operations and the significance of smart warehouses, which leverage advanced technologies such as robotics, AI, and data analytics to optimize warehouse operations. Later, we discuss the importance of digital twins, which allow for creating a virtual representation of a physical object or system, and their potential to revolutionize a wide range of industries. Therefore, DB-SCM offers numerous benefits, including enhanced efficiency, improved customer satisfaction, and increased sustainability, and provides a valuable case study for organizations seeking to optimize their supply chain operations.

• IE interfaces
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• v.17 no.spc
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• pp.90-96
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• 2004

In this paper, we consider the joint replenishment problem of a one-warehouse, n-retailer system. We introduce a joint replenishment and delivery strategy of a warehouse and develop a mathematical model based on the proposed strategy. Two efficient algorithms are presented and compared using numerical examples. The proposed strategy is compared with the common cycle strategy for 1,600 randomly generated problems, and has been proven to be superior to the common cycle strategy.

• Journal of Korean Institute of Industrial Engineers
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• v.30 no.4
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• pp.301-305
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• 2004

In a warehouse, plates listed in the different orders are placed mixed. Nevertheless, when plates are going out, a group of plates listed in the same order should be sequentially loaded on a transporter. Since the access to the plates is only from the top of the stack, it happens often that we have to move some plates on a temporary place in order to access a plate below them. This paper deals with a problem of sequencing orders for transportation to minimize the number of plates temporarily moved.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1567-1573
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• 2010

The purpose of this study is to develop spatial configuration and area calculation method of warehoue. This paper deals with warehouses with palletized cargo since recently pallets are widely used in many warehouses to enhance efficiency. We identify spatial configuration and characteristics of each area. To represent realistic situations, we analyze characteristics of logistics equipment as well as interview results with expert warehouse architects. Through these analysis we suggest guidelines on area calculation of warehouse.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.201-205
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• 2006

By analysis of the processes before and after applying RFID in warehouse management and the improvement the RFID system brings to warehouse management based on model of warehouse management in manufacture enterprises, a set of standard process after applying RFID system in SCM members at different phases is designed in this paper.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.393-402
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• 1999

과거와 다르게 최근의 병원들은 정보화로 인해서 상당한 양의 의료 데이터가 저장되어 있어서 이의 효과적인 이용에 관심을 가지고 있다. 그러나 기존 통합병원정보시스템 (Integrated Hospital Information System)은 아직까지 일반관리와 원무관리 중심에서 벗어나지 못하고 있다. 품질 좋은 의료 서비스를 제공하기 위해서 환자 중심의 진료 및 진료지원, 임상연구 등을 종합적으로 지원하기 위한 데이터 웨어하우스 (Data Warehouse)의 필요성이 대두되기 시작했다. 이에 본 연구는 병원 전체 차원에서 데이터 웨어하우스의 아키텍쳐를 설계하고 개발하는 데 주안점을 두었다. 특히, 임상 데이터 웨어하우스 (Clinical Data Warehouse)에 초점을 두었으며 이에 대한 프로토타입은 J 병원에 적용되어서 개발되었다.

• Asia pacific journal of information systems
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• v.7 no.1
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• pp.7-24
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• 1997

Executive information system (EIS) is a computer-based information system that supports decision makings ana management activities for senior executives. Data warehouse is a database that receives data copies from legacy systems and external data sources. Data warehouse is typically optimized for decision supports and can be an attractive solution for EIS implementation. This paper proposes an architecture for implementing EIS by the use of data warehouse. The architecture consists of ten implementation layers. Interrelationships among these layers are investigated for an effective EIS implementation. An EIS prototype for a real-fife enterprise is implemented to demonstrate the usefulness of the proposed architecture.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.393-402
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• 1999

과거와 다르게 최근의 병원들은 정보화로 인해서 상당한 양의 의료 데이터가 저장되어 있어서 이의 효과적인 이용에 관심을 가지고 있다. 그러나 기존 통합병원정보시스템(Integrated Hospital Information System)은 아직까지 일반관리와 원무관리 중에서 벗어나지 못하고 있다. 품질 좋은 의료 서비스를 제공하기 위해서 환자 중심의 진료 및 진료지원, 임상연구 등을 종합적으로 지원하기 위한 데이터 웨어하우스(Data Warehouse)의 필요성이 대두되기 시작했다. 이에 본 연구는 병원 전체 차원에서 데이터 웨어하우스의 아키텍쳐를 설계하고 개발하는 데 주안점을 두었다. 특히, 임상 데이터 웨어하우스(Clinical Data Warehouse)에 초점을 두었으며 이에 대한 프로토타입은 J 병원에 적용되어서 개발되었다.

• Journal of Information Processing Systems
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• v.2 no.2
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• pp.67-75
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• 2006

In order to acquire a precise and quick response to an analytical query, proper selection of the views to materialize in the data warehouse is crucial. In traditional view selection algorithms, all relations are considered for selection as materialized views. However, materializing all relations rather than a part results in much worse performance in terms of time and space costs. Therefore, we present an improved algorithm for selection of views to materialize using the clustering method to overcome the problem resulting from conventional view selection algorithms. In the presented algorithm, ASVMRT (Algorithm for Selection of Views to Materialize using Reduced Table), we first generate reduced tables in the data warehouse using clustering based on attribute-values density, and then we consider the combination of reduced tables as materialized views instead of a combination of the original base relations. For the justification of the proposed algorithm, we reveal the experimental results in which both time and space costs are approximately 1.8 times better than conventional algorithms.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.4
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• pp.328-336
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• 2001

In this paper, an approach is presented for determining the required storage capacity of a warehouse with leased public space. Storage assignment policies considered are randomized and class-based storage assignment policies. An analytic model for each of the storage policies is formulated with the objective of minimizing the cost of owned storage space and leased space while satisfying a desired service level of protection against space shortages. Cost functions used in the models are piecewise liear with fixed costs. For the models, algorithms are developed to generate optimal solutions. The approach is applied to the systems where the standard economic-order-quantity inventory model is used for all items being stored in the warehouse.