• Journal of the military operations research society of Korea
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• v.22 no.2
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• pp.18-36
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• 1996

This paper provides a research on some design techniques of Industrial Engineering / Management Science (IE/MS) for more efficient logistics support in developing armament systems. It includes RAM (reliability, availability and maintainability) analysis techniques, decision making analysis techniques, human factors engineering techniques and logistics support analysis techniques.

• Journal of the Korean Operations Research and Management Science Society
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• v.18 no.2
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• pp.157-173
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• 1993

Reliability growth modeling can be a requirement when bidding on large military hardware systems. Under current reliability warranty legislature, the reliability growth model can be later translated into necessary reliability performance which must be demonstrated over an extended period of usage. In this paper the modeling situation is concerned with determining the number of spares needed to support a projected reliability growth both at the fightine and in a depot inventory. The model differs from existing models for logistics planning in that we allow for the phenomena of reliability growth. The model can also be used to determine central depot staffing requirements based upon a specified system utilization.

• Journal of Applied Reliability
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• v.11 no.3
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• pp.305-318
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• 2011

In the statement of logistics reliability prediction methodology, all components should be managed as the analysis objectives. However, in some reliability prediction of weapon systems, fastening parts, e.g., screws, bolts and nuts, have been frequently ignored because some organizations related to weapon systems have emphasized that those parts are not significant in their failures rate and functions. In this paper, failure rates, modes, and distributions were presented to prove that fastening parts should be included in reliability prediction objectives. Also, failure rate prediction methods of fastening parts are presented and compared.

• Korea Trade Review
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• v.44 no.6
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• pp.303-325
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• 2019

The purpose of this study is to determine optimal transportation routes through the comparison of Korean - European transportation routes of automotive parts and to suggest information that can be utilized in Korea - Europe trade activities or trade route selection by establishing multipath. This study analyzed the direct transportation cost, inventory cost, and warehouse inventory cost of the sea and TSR / TCR railroad transport based on characteristics of automotive parts logistics and multimodal transportation. Also, this study identifies the most effective transportation route from the viewpoint of total logistics cost. In addition to the economic factors, we conducted an in-depth analysis through interviews with corporate executives to identify the importance of the factors with the behavioral factors, and the reliability was further secured through interviews. Through this study, it is possible to understand various aspects of international logistics by analyzing the factors of transportation choice in terms of economic and behavioral perspectives concurrently by differentiating from existing research.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.168-175
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• 2023

In the era of the 4th Industrial Revolution, Logistic 4.0 using data-based technologies such as IoT, Bigdata, and AI is a keystone to logistics intelligence. In particular, the AI technology such as prognostics and health management for the maintenance of logistics facilities is being in the spotlight. In order to ensure the reliability of the facilities, Time-Based Maintenance (TBM) can be performed in every certain period of time, but this causes excessive maintenance costs and has limitations in preventing sudden failures and accidents. On the other hand, the predictive maintenance using AI fault diagnosis model can do not only overcome the limitation of TBM by automatically detecting abnormalities in logistics facilities, but also offer more advantages by predicting future failures and allowing proactive measures to ensure stable and reliable system management. In order to train and predict with AI machine learning model, data needs to be collected, processed, and analyzed. In this study, we have develop a system that utilizes an AI detection model that can detect abnormalities of logistics rotational equipment and diagnose their fault types. In the discussion, we will explain the entire experimental processes : experimental design, data collection procedure, signal processing methods, feature analysis methods, and the model development.

• Journal of the Korean Society of Systems Engineering
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• v.16 no.1
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• pp.9-17
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• 2020

Currently, Storage Reliability is analyzed when predicting the reliability of guided missile. However, Mission Reliability and Logistics Reliability should be analyzed according to the definition of reliability in MIL-STD-785B. Therefore, it is necessary to accurately predict the reliability of guided missile based on the definition of reliability. In this paper, we proposed improved the reliability procedure and model for guided missile based on which the definition of reliability considering the mission profile. The proposed model can calculate the final failure rate by applying the ratio of the dormant and storage according to the mission profile. The proposed model has been confirmed to be more accurate than the existing model compared to the actual failure rate value. The results of this study can be useful for applying the reliability prediction to any guided missile.

• Convergence Security Journal
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• v.16 no.6_1
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• pp.67-74
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• 2016

The development of weapon systems that look only be introduced as a huge budget directly related to combat rea diness. If we develop the expensive equipment it will not be the same state or have to wait a lot of time in mainten ance facilities for maintenance, which will have a profound impact on the exercise Efficiency. In order to solve this problem, the operation and use state of the weapon system requires effort to successfully p erform the duties held by the defined and assigned, Further analysis should be conducted RAM in order to reduce m aintenance manpower and logistic support costs. The role of business is to increase the RAM system reliability by L ee to Fig system failure rate from the development and maintenance, and reduced life cycle costs. Therefore, the present study was to determine the RAM to perform analysis procedures and methods and limita tions of each element, such as to maximize the effectiveness of comprehensive logistics support and help to study to become an effective logistics support.

• Asia pacific journal of information systems
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• v.17 no.3
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• pp.79-103
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• 2007

The main purpose of this study is to define antecedents that influence e-SCM synchronization and to investigate how it affects e-SCM performance. We, therefore, investigate (1) the impact of firms' internal IT planning capabilities on e-SCM synchronization and on SCM process management capability, (2) the impact of firms' internal IT infrastructure on e-SCM synchronization and on SCM process management capability, (3) the impact of firms' internal SCM process management capabilities on e-SCM synchronization, and finally (4) the impact of e-SCM synchronization on SCM performance. A survey has been administrated to the firms' SCM and marketing staffs and 171 returns analyzed. The results show that (1) IT plan has not direct impacts on e-SCM synchronization, but has direct impacts on organizational support, purchasing, and operations processes except logistics process. IT plan, however, has indirect impacts on e-SCM synchronization through purchasing and operations of SCM process management capability. (2) IT infrastructure has both direct and indirect effects on e-SCM synchronization, and also has direct impacts on organizational support, purchasing, and operations processes except logistics process. (3) SCM process management capabilities have direct impacts on e-SCM synchronization. Among these SCM core processes purchasing positively influences operations, which in turn positively influences logistics process management capability. (4) e-SCM synchronization has positive impacts on SCM performance indicator (SCOR), such as delivery reliability, responsiveness & flexibility, and cost. These results indicate that e-SCM synchronization can be critical to achieve better internal performance like cost and external performance like delivery reliability, responsiveness & flexibility of firms' SCM. In sum, this study demonstrates that the intervening role of e-SCM synchronization between e-SCM performance and IT management capability and between e-SCM performance and SCM core process management capability has been significant in achieving better e-SCM performance. Therefore, it can be suggested that e-SCM performance should be accomplished in consequence of the acceleration of e-SCM synchronization through the enhancement of preceding factors for the e-SCM synchronization.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5726-5737
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• 2014

The increasing importance of software has highlighted the need for the proper application of software ILS. On the other hand, the development of ILS has been somewhat limited to the area of hardware development. Therefore, this study examined the potential difficulties in applying software ILS to practical uses, and analyzed the drawbacks by reporting several domestic or foreign regulation cases. In addition, the differences between hardware and software ILS were examined by considering their characteristics of maintenance. Eventually, by establishing the proper range, this study proposes a development plan that is suitable for domestic weapon systems. The proposed research is expected to be helpful for offering specific plans for designing software ILS.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.47-56
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• 2020

The purpose of this study was to identify the research trends and characteristics of existing research related to the AEO system. The methodology of the study was to utilize the Degree Centrality, Closeness Centrality and Betweenness Centrality presented by the Social Network Analysis (SNA). Keyword network analysis results showed that "MRA", "Logistics Security" were derived from the Degree Centrality results, "MRA", "Logistics Security" from the Closeness Centrality results, and, as a result of the Betweenness Centrality, "AEO Utilization Benefits" and "reliability" were derived from the top keyword results. The analysis of differences in centrality by period also confirmed that trends in research have changed based on specific time points. This study has implications for the study in that it presented worldwide research trends through keyword network analysis of the AEO system.