• International conference on construction engineering and project management
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• 2005.10a
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• pp.786-790
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• 2005

As the scale of building construction is larger and more complex and the adaptation of new technology is increasing, the tendency of the risk serious accident cases is increasing now. Especially, the accident rate is below 10% at the building construction workers in Korea but among the total industrial accidents it exceeded by 35%. To prevent a construction accident, it is essential that not only to have a through grasp of the characteristic of safety problem but also to establish of efficient safety counter plan are required. According to the type and situation of building construction, the acquirement of necessary information is useful to prevent the hazard of work and establish the counter plan. Among the safety information it is a thing of especial importance that to estimate the hazard of work types for building construction to prepare the counter plan of safety. This study will analyze all of the1600 accidents of the building construction works from the data of KOSHA(Korea Occupational Safety &Health Agency) which were collected during 11 years(1992~2002) data relating to serious accidents of the building construction works, and suggest the counter plan according to the each work type in building construction works.

• The Journal of Bigdata
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• v.4 no.2
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• pp.127-139
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• 2019

Research Data Management (RDM) is a system that encompasses people, policies, resources and technologies that provide and support directions in producing, collecting, using, and preserving research data. RDMs consist of a wide range of activities, including supporting the creation of data management plans (DMPs), building data collections and repositories, and digital preservation and distribution. In advanced countries, systems for RDMs and related organizations are well organized and functioning, but in Korea, the management system is insufficient due to low level of data awareness. In this paper, we propose a plan to establish a research data management system suitable for the reality. In particular, it is important to reflect in RDM that the construction of big data platforms for the collection and management of big data in each field and organization is increasing rapidly. Also, we will discuss how to provide data provision and researchers' data sovereignty using blockchain technology, and propose a P2P-based decentralized RDM scheme.

• Korean Journal of Environment and Ecology
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• v.20 no.2
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• pp.170-187
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• 2006

The purpose of this study is to provide a basic datd for establishing a basic park management plan for Bulamsan Urban Nature Park. This research surveys very closely about the present condition of the natural ecosystem based on the examination and analysis of the present condition. This research suggests development and management methods for environment-friendly park by understanding damages on the ecosystem due to overuse, as well as park facilities and their effects on the surrounding environment, using quantative analysis. The three steps: researching the present condition research, ecosystem evaluation, and park management plan were taken in order. The present condition research is based on the general condition, natural environment, and natural ecosystem data. In the ecosystem evaluation, wildlife habitats evaluation, landscape evaluation, and biotope type research which is a materialized form of the plant ecosystem were excuted based on the present condition research data. In the park management plan step, 1) classified ecosystem and landscae preservation zone, ecosystem protection zone and ecosystem restoration zone as ecosystem and landscape preservation plan, 2) plannings for ecosystem, fine landscape preservation, damaged area restoration and recovery plan were established in order to suggest environment-friendly plan,

• Industrial Engineering and Management Systems
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• v.14 no.2
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• pp.183-195
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• 2015

In this paper, we propose a two-stage group acceptance sampling plan for generalized inverted exponential distribution under truncated life test. Median life is considered as a quality parameter. Design parameters are obtained to ensure that true median life is longer than a given specified life at certain level of consumer's risk and producer's risk. We also explore situations under which design parameters based on median lifetime can be used for other percentile points. Tables and specific examples are reported to explain the proposed plans. Finally a real data set is analyzed to implement the plans in practical situations and some suggestions are given.

• Journal of the Korean Society of Safety
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• v.26 no.5
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• pp.54-58
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• 2011

Emergency preparedness plan(EPP) is the systematic management of activities that involve a material degree of risk of loss or other damage to the surroundings(people, property and environment), and the boundary of accident recovery plan(ARP). The main purpose of the program is to provide a safety management system to each facility in order to enable to prevent accident and to control accident immediately. The EPP includes not only typical safety-related documentations such as material safety data sheet(MSDS), standard operation procedure(SOP), emergency response plan(ERP). EPP is established basis of the preliminary safety analysis involving risk identification, assessment and prevention plans. The program is also helpful for government or related agencies to control a number of accidents in small-scale companies in the whole country.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.4
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• pp.170-178
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• 2004

As quality becomes a primary leading factor of organizational success, various management strategies have been introduced to improve quality competitiveness. Quality competitiveness, however, is difficult to measure and numerous organizations are struggling to set realistic improvement objectives. The primary purpose of this research is to propose a systematic approach to help the practitioners develop an improvement plan for their organizational quality competitiveness. This approach employs DEA(Data Envelopment Analysis) to evaluate relative efficiency among companies which make efforts to improve their quality competitiveness. It presents an integer programming model to elicit an optimal improvement plan for meeting a target level. A decision support system is also developed for the managers to plan a sequential improvement plan based on both DEA model and the integer programming model.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.59-67
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• 2006

If apply BPM that is a business process management tool to SCM sector, efficient process management and control are available. Also, BPM can execute integrating process that compose SCM effectively. These access method does to manage progress process of SCM process more efficiently and do monitoring. Also, It is can be establish plan about improvement of process analyzing process achievement result. Thus, in this paper, introduce this BPM into SCM environment. Also, SCM process presents plan that executes integration and improves business process effectively applying data mining technique.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.3
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• pp.183-190
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• 2008

The maintenance and management of each tunnel has been individually performed in depending on service, management agency, and tunnel size. The maintenance and management system for the existing tunnel consists of simple tunnel card and the computerization of basic tunnel data, now. There is not the systemic maintenance and management system for tunnel. Therefore, it has been impossible the systemic maintenance and management for tunnel due to loss of data obtained from each step, such as, plan, design, construction, or maintenance, with time. The objective of this study is to build the database system in combing the results of tunnel scanning with all data obtained from plan, design, construction, or maintenance step.

• The Journal of Information Systems
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• v.30 no.1
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• pp.151-177
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• 2021

Purpose This paper aims to improve management performance by effectively responding to production needs and reducing inventory through synchronizing production planning and procurement in the aviation industry. In this study, the differences in production planning and execution were first analyzed in terms of demand, supply, inventory, and process using the big data collected from a domestic aircraft manufacturers. This paper analyzed the problems in procurement and inventory management using legacy big data from ERP system in the company. Based on the analysis, we performed a simulation to derive an efficient procurement and inventory management plan. Through analysis and simulation of operational data, we were able to discover procurement and inventory policies to effectively respond to production needs. Design/methodology/approach This is an empirical study to analyze the cause of decrease in inventory turnover and increase in inventory cost due to dis-synchronize between production requirements and procurement. The actual operation data, a total of 21,306,611 transaction data which are 18 months data from January 2019 to June 2020, were extracted from the ERP system. All them are such as basic information on materials, material consumption and movement history, inventory/receipt/shipment status, and production orders. To perform data analysis, it went through three steps. At first, we identified the current states and problems of production process to grasp the situation of what happened, and secondly, analyzed the data to identify expected problems through cross-link analysis between transactions, and finally, defined what to do. Many analysis techniques such as correlation analysis, moving average analysis, and linear regression analysis were applied to predict the status of inventory. A simulation was performed to analyze the appropriate inventory level according to the control of fluctuations in the production planing. In the simulation, we tested four alternatives how to coordinate the synchronization between the procurement plan and the production plan. All the alternatives give us more plausible results than actual operation in the past. Findings Based on the big data extracted from the ERP system, the relationship between the level of delivery and the distribution of fluctuations was analyzed in terms of demand, supply, inventory, and process. As a result of analyzing the inventory turnover rate, the root cause of the inventory increase were identified. In addition, based on the data on delivery and receipt performance, it was possible to accurately analyze how much gap occurs between supply and demand, and to figure out how much this affects the inventory level. Moreover, we were able to obtain the more predictable and insightful results through simulation that organizational performance such as inventory cost and lead time can be improved by synchronizing the production planning and purchase procurement with supply and demand information. The results of big data analysis and simulation gave us more insights in production planning, procurement, and inventory management for smart manufacturing and performance improvement.

• The Korean Journal of Health Service Management
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• v.9 no.1
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• pp.17-29
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• 2015

This study, an examination of the plan for effective resource management for national university hospitals, was performed to determine the relationship between the effectiveness of patient output by considering input personnel using the DEA model and Management Performance, in which 4 years of data from 12 national university hospitals were analyzed. Among the components of the effectiveness, utilizing properly imput components from the application of VRS(Variable Returns to Scale), the Management Performance of national university hospitals was found to be affirmatively influenced by PTE(Pure Technical Efficiency). Regarding the Management Performance of national university hospitals in their attempts to establish a plan for effective human resource management, the management of patient numbers on the basis of calculation level with input is more recommendable than the controlling of personnel input using patient numbers. Thus, the establishment of a strategy plan for the proper allocation of administrative staff and sickbeds, considering the variation of patient numbers, is suggested.