간행물
한국산업경영시스템학회지 KCI 등재 Journal of Society of Korea Industrial and Systems Engineering
- 발행기관 한국산업경영시스템학회
- 자료유형 학술지
- 간기 계간
- ISSN 2005-0461 (Print)2287-7975 (Online)
- 수록기간 1978 ~ 2024
- 주제분류 공학 > 산업공학 공학 분류의 다른 간행물
- 십진분류KDC 530DDC 620
권호리스트/논문검색
Vol.47 No.3 (2024년 9월) 21건
1.
2024.09
구독 인증기관 무료, 개인회원 유료
In an influential paper, Choi and Kim (2010) derived waiting times in an queuing model under net neurality and under prioritization. In this short paper, we argue that the waiting times of content transmission that Choi and Kim (2010) derived by using the gueuing model under the non-preemptive priority rule are miscalculated. We provide corrected waiting times in the queuing model in the prioritization case. We also show that this correction does not affect their main results on the delay time and the incentive to invest in the network capacity qualitatively.
4,000원
2.
2024.09
구독 인증기관 무료, 개인회원 유료
There is a demand for introducing a challenging and innovative R&D system to develop new technologies to generate weapon system requirements. Despite the increasing trend in annual core technology development tasks, the infrastructure expansion, including personnel in research management institutions, is relatively insufficient. This situation continuously exposes difficulties in task planning, selection, execution, and management. Therefore, there is a pressing need for strategies to initiate timely research and development and enhance budget execution efficiency through the streamlining of task agreement schedules. In this study, we propose a strategic model utilizing a flexible workforce model, considering constraints and optimizing workload distribution through resource allocation to minimize bottlenecks for efficient task agreement schedules. Comparative analysis with the existing operational environment confirms that the proposed model can handle an average of 67 more core technology development tasks within the agreement period compared to the baseline. In addition, the risk management analysis, which considered the probabilistic uncertainty of the fluctuating number of core technology research and development projects, confirmed that up to 115 core technology development can be contracted within the year under risk avoidance.
4,000원
3.
2024.09
구독 인증기관 무료, 개인회원 유료
Although concerns about overheating of the franchise industry's market structure continue to be raised, there are few studies that analyze the market structure of the franchise industry and suggest practical use. Most existing studies mainly analyze the market structure of other industries using industrial concentration(HHI) as an indicator of market competition intensity from the perspective of industrial organization theory. This study seeks to present a market structure analysis method that is different from existing methods. Considering practical application, this study presented a method to analyze the market structure that combines industry concentration(HHI) analysis and matrix analysis of the franchise industry. First, the industry concentration(HHI) and operating profit ratio(SMR) of 15 major industries in the franchise industry were analyzed in a time series manner (2014-2019). Second, using industrial concentration and operating profit ratio(SMR) as two variables on the x-axis and y-axis, a two-stage matrix analysis was used to understand the market structure characteristics of 15 industries at a glance. Third, a method of utilizing the matrix analysis results for practical decision-making was presented.
4,500원
4.
2024.09
구독 인증기관 무료, 개인회원 유료
This paper chronicles the evolution of load-sharing parameter estimation methodologies, with a particular focus on the significant contributions made by Kim and Kvam (2004) and Park (2012). Kim and Kvam's pioneering work underscored the inherent challenges in deriving closed-form solutions for load-share parameters, which necessitated the use of sophisticated numerical optimization techniques. Park's research, on the other hand, provided groundbreaking closed-form solutions and extended the theoretical framework to accommodate more general distributions of component lifetimes. This was achieved by incorporating EM-type methods for maximum likelihood estimation, which represented a significant advancement in the field. Unlike previous efforts, this paper zeroes in on the specific characteristics and advantages of closed-form solutions for load-share parameters within reliability systems. Much like the basic Economic Order Quantity (EOQ) model enhances the understanding of real-life inventory systems dynamics, our analysis aims to thoroughly explore the conditions under which these closed-form solutions are valid. We investigate their stability, robustness, and applicability to various types of systems. Through this comprehensive study, we aspire to provide a deep understanding of the practical implications and potential benefits of these solutions. Building on previous advancements, our research further examines the robustness of these solutions in diverse reliability contexts, aiming to shed light on their practical relevance and utility in real-world applications.
4,000원
5.
2024.09
구독 인증기관 무료, 개인회원 유료
As the number of enlistees decreases due to social changes like declining birth rates, it is necessary to conduct research on the appropriate recalculation of the force that considers the future defense sufficiency and sustainability of the Army. However, existing research has primarily focused on qualitative studies based on comprehensive evaluations and expert opinions, lacking consideration of sustained support activities. Due to these limitations, there is a high possibility of differing opinions depending on perspectives and changes over time. In this study, we propose a quantitative method to calculate the proper personnel by applying system dynamics. For this purpose, we consider a standing army that can ensure the sufficiency of defense between battles over time as an adequate force and use battle damage calculated by wargame simulation as input data. The output data is the number of troops required to support activities, taking into account maintenance time, complexity, and difficulty. This study is the first quantitative attempt to calculate the appropriate standing army to keep the defense sufficiency of the ROK Army in 2040, and it is expected to serve as a cornerstone for adding logical and rational diversity to the qualitative force calculation studies that have been conducted so far.
4,300원
6.
2024.09
구독 인증기관 무료, 개인회원 유료
This study aims to develop a comprehensive predictive model for Digital Quality Management (DQM) and to analyze the impact of various quality activities on different levels of DQM. By employing the Classification And Regression Tree (CART) methodology, we are able to present predictive scenarios that elucidate how varying quantitative levels of quality activities influence the five major categories of DQM. The findings reveal that the operation level of quality circles and the promotion level of suggestion systems are pivotal in enhancing DQM levels. Furthermore, the study emphasizes that an effective reward system is crucial to maximizing the effectiveness of these quality activities. Through a quantitative approach, this study demonstrates that for ventures and small-medium enterprises, expanding suggestion systems and implementing robust reward mechanisms can significantly improve DQM levels, particularly when the operation of quality circles is challenging. The research provides valuable insights, indicating that even in the absence of fully operational quality circles, other mechanisms can still drive substantial improvements in DQM. These results are particularly relevant in the context of digital transformation, offering practical guidelines for enterprises to establish and refine their quality management strategies. By focusing on suggestion systems and rewards, businesses can effectively navigate the complexities of digital transformation and achieve higher levels of quality management.
5,100원
7.
2024.09
구독 인증기관 무료, 개인회원 유료
This study develops a model to determine the input rate of the chemical for coagulation and flocculation process (i.e. coagulant) at industrial water treatment plant, based on real-world data. To detect outliers among the collected data, a two-phase algorithm with standardization transformation and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is applied. In addition, both of the missing data and outliers are revised with linear interpolation. To determine the coagulant rate, various kinds of machine learning models are tested as well as linear regression. Among them, the random forest model with min-max scaled data provides the best performance, whose MSE, MAPE, R2 and CVRMSE are 1.136, 0.111, 0.912, and 18.704, respectively. This study demonstrates the practical applicability of machine learning based chemical input decision model, which can lead to a smart management and response systems for clean and safe water treatment plant.
4,000원
8.
2024.09
구독 인증기관 무료, 개인회원 유료
Airpower is a crucial force for suppressing military threats and achieving victory in wars. This study evaluates newly introduced fighter forces, considering factors such as fighter performance and power index, operational environment, capacity of each airbase, survivability, and force sustainment capability to determine the optimal deployment plan that maximizes operational effectiveness and efficiency. Research methods include optimization techniques such as MIP(mixed integer programming), allocation problems, and experimental design. This optimal allocation mathematical model is constructed based on various constraints such as survivability, mission criticality, and aircraft's performance data. The scope of the study focuses the fighter force and their operational radius is limited to major Air Force and joint operations, such as air interdiction, defensive counter-air operations, close air support, maritime operations and so on. This study aims to maximize the operational efficiency and effectiveness of fighter aircraft operations. The results of proposed model through experiments showed that it was for superior to the existing deployment plan in terms of operation and sustainment aspects when considering both wartime and peacetime.
4,200원
9.
2024.09
구독 인증기관 무료, 개인회원 유료
In this study, an attempt was made to approximate the main characteristic values of Bi0.5(Na0.78K0.22)0.5TiO3 (= BNKT) depending on the content of Fe2O3 additives, aiming to approach the values of lead(Pb) piezoelectric ceramic materials (PZT). Specifically, when the piezoelectric coefficient (d33) value of lead(Pb) piezoelectric ceramic material (PZT polycrystalline ceramic powder) is 300[pC/N] or higher, it is applied for hard purposes such as ultrasonic welding machines and cleaning machines, and when it exceeds 330[pC/N], it is applied for soft purposes like piezoelectric sensors. In this study, research and development were conducted for devices with a piezoelectric coefficient (d33) of 300[pC/N] or more for actuators. For this purpose, K+ exceeding 0.02 to 0.12 mol% was added to (Na0.78K0.22)0.5Bi0.5TiO3 to analyze structural changes due to K+ excess, and (Na0.78K0.22)0.5Bi0.5TiO3 + 8mol% K2CO3 Ti4+ was substituted with Fe3+ to manufacture lead-free piezoelectric materials. As a result, ceramics with Fe3+ substitution at x = 0.0075 yielded an average value of d33 = 315[pC/N]. Furthermore, for ceramics with Fe3+ substitution at x = 0.0075, the average values of maximum polarization (Pmax), residual polarization (Prem), and coercive field (Ec) were found to be 39.63 μC/cm2, 30.45 μC/cm2, and 2.50 kV/mm, respectively. The reliable characteristic values obtained from the research results can be applied to linear actuator components (such as the zoom function of mobile cameras, LDM for skin care, etc.) and ultrasonic vibration components.
4,000원
10.
2024.09
구독 인증기관 무료, 개인회원 유료
The diversity of smart EV(electric vehicle)-related industries is increasing due to the growth of battery-based eco-friendly electric vehicle component material technology, and labor-intensive industries such as logistics, manufacturing, food, agriculture, and service have invested in and studied automation for a long time. Accordingly, various types of robots such as autonomous mobile robots and collaborative robots are being utilized for each process to improve industrial engineering such as optimization, productivity management, and work management. The technology that should accompany this unmanned automobile industry is unmanned automatic charging technology, and if autonomous mobile robots are manually charged, the utility of autonomous mobile robots will not be maximized. In this paper, we conducted a study on the technology of unmanned charging of autonomous mobile robots using charging terminal docking and undocking technology using an unmanned charging system composed of hardware such as a monocular camera, multi-joint robot, gripper, and server. In an experiment to evaluate the performance of the system, the average charging terminal recognition rate was 98%, and the average charging terminal recognition speed was 0.0099 seconds. In addition, an experiment was conducted to evaluate the docking and undocking success rate of the charging terminal, and the experimental results showed an average success rate of 99%.
4,000원
11.
2024.09
구독 인증기관 무료, 개인회원 유료
This study aims to examine domestic research trends on technoparks and to explore future research directions in this field. For this purpose, 493 articles were collected from academic journal sites, covering the period from 1997, when the pilot technoparks were designated, to 2022. To avoid duplication of identical titles and content, theses and conference papers were excluded. Only articles registered or candidate-registered in the Korea Citation Index (KCI) were selected. After reviewing the research topics and content, a total of 74 papers were used for the final analysis. The data analysis involved descriptive analyses of the research period, research areas, research methods, research subjects, and research topics. Furthermore, a word cloud text analysis was conducted using 305 keywords related to technoparks. This study is significant as the first comprehensive analysis of research trends on technoparks and aims to provide meaningful foundational data to explore future directions for research and innovation policy related to technoparks.
4,000원
12.
2024.09
구독 인증기관 무료, 개인회원 유료
This study was conducted for the purpose of systematically identifying research trends in technology transfer and commercialization and setting future research directions in academia. Over a total of 35 years (1987-2021), 146 papers related to technology transfer and commercialization were analyzed for research period, research area, research methods, and research subjects. The research results are as follows. First, the largest number of papers (55) was published during the Park Geun-hye administration. Second, among major academic journals, only the ‘Korea Society for Technology Innovation’ had a relatively high proportion of research. Third, quantitative research (38%) was the most widely applied research method. Fourth, the most frequent research target was institutions/systems (44%). Additionally, the results of frequency analysis of 729 keywords were presented in a word cloud. This study is significant as the most current study that attempted bibliographic analysis of technology transfer and commercialization research papers over the past 35 years.
4,500원
13.
2024.09
구독 인증기관 무료, 개인회원 유료
This study proposes a construction plan for the Korea Navy's next-generation TSCE(Total Ship Computing Environment) based destroyers to address rapidly evolving maritime threats and decreasing military manpower. It focuses on system integrated ship construction based on TSCE for quick response time with fewer operators, improving the efficiency of systems and Equipments installed in the ship. The methodology includes analyzing TSCE-based system integration theories and levels. also analyze system integration in U.S. Navy’s Zumwalt destroyers and Littoral Combat Ships, conducting expert surveys to build consensus on system integration methods, proposing operational efficiency improvements through TSCE-based system integration. Additionally, we propose an architecture of TSCE with real time OA(Open Architecture) from both functional and physical perspectives, verified through Python simulations. The study suggests optimal crew sizes for next-generation destroyers through comparative analysis of TSCE based integration types. It emphasizes the importance of system integration in naval ship construction, presenting specific measures to enhance operational efficiency and optimize crew operations. The findings are expected to contribute significantly to enhance the future naval capabilities of the Korea Navy.
4,600원
14.
2024.09
구독 인증기관 무료, 개인회원 유료
The purpose of this study is to analyze the characteristic of quality attributes of smart hotels by using a SERVQUAL-IPA model, focusing on Chinese, which has the most proactive approach for the adoption of smart hotel system. Toward this goal, six quality factors—tangibles, reliability, assurance, responsiveness, empathy, and playfulness—were extracted through factor analysis, and IPA was used to appraise the degree of importance and satisfaction for each quality attribute. As a result of the SERVQUAL-IPA model, quality attributes were categorized into four groups of 'keep up the good work,' 'possible overkill,' 'low priority,' and 'concentrate here.'. Furthermore, it was concluded that there is a need to focus on the following elements: ‘smart devices can assist customers in emergency situations’, ‘when the room control system identifies customer needs, the staff can provide prompt service’, ‘development and improvement of mobile applications that enable customers to control room amenities’, ‘regular maintenance for smart devices’, and ‘providing data-driven personalized recommendations through customer activity data analysis’.
4,200원
15.
2024.09
구독 인증기관 무료, 개인회원 유료
Recently, ESG(Environmental, Social, Governance) has been recognized as an important factor for the sustainable growth of companies. However, only 14.5% of food manufacturing companies have adopted ESG management. In particular, small and medium-sized enterprises(SMEs) face difficulties in implementing ESG management due to a lack of specialized personnel and resource constraints. The purpose of this study is to analyze the impact of ESG ratings on the management performance of 40 food manufacturing companies listed on the Korea Exchange(KRX) that have been evaluated for ESG. The one-way ANOVA was used and performed on data for 40 food manufacturing companies published by the Korea Institute of Corporate Governance and Sustainability(KCGS) in 2023. The results of the analysis showed statistically significant differences in sales (F=12.936, p<0.001) and foreign ownership (F=7.74, p<0.01) based on ESG ratings. Furthermore, Scheffe's post-hoc analysis indicated that the higher the ESG rating and individual scores, the better the overall management performance. Therefore, it is concluded that food manufacturing companies should continuously invest in and focus on ESG management to secure a competitive advantage in the market and achieve sustainable growth.
4,200원
16.
2024.09
구독 인증기관 무료, 개인회원 유료
This study aims to establish an online shopping mall marketing strategy based on big data analysis methods. The customer cluster analysis method was utilized to analyze customer purchase patterns and segment them into customer groups with similar characteristics. Data was collected from orders placed over one year in 2023 at ‘Jeonbuk Saengsaeng Market’, the official online shopping mall for agricultural, fish, and livestock products of Jeonbuk Special Self-Governing Province. K-means clustering was conducted by creating variables such as ‘TotalPrice’ and ‘ElapsedDays’ for analysis. The study identified four customer groups, and their main characteristics. Furthermore, regions corresponding to customer groups were analyzed using pivot tables. This facilitated the proposal of a marketing strategy tailored to each group’s characteristics and the establishment of an efficient online shopping mall marketing strategy. This study is significant as it departs from the traditional reliance on the intuition of the person in charge to operate a shopping mall, instead establishing a shopping mall marketing strategy through objective and scientific big data analysis. The implementation of the marketing strategy outlined in this study is expected to enhance customer satisfaction and boost sales.
4,200원
17.
2024.09
구독 인증기관 무료, 개인회원 유료
It is important to measure the performance of group project but also very important to evaluate the contribution of individual members fairly. The degree of contribution of group members can be assessed by pair-wise comparison method of the Analytic Hierarchy Process. The degree of contribution of group members can be biased in a way that is advantageous to evaluator oneself during the pair-wise comparison process. In this paper, we will examine whether there is a difference in the contribution weight vectors obtained when including evaluator and excluding oneself in the pair-wise comparison. To do this, the experimental data was obtained by making pair-wise comparison in two ways for 15 5-person groups that perform term projects in university classes and 15 pairs of weight vectors for contribution were obtained. The results of the nonparametric test for these 15 pairs of weights vectors are given.
4,000원
18.
2024.09
구독 인증기관 무료, 개인회원 유료
The era of logistics 4.0 in which new technologies are applied to existing traditional logistics management has approached. It is developing based on the convergence between various technologies, and R&D are being conducted worldwide to build smart logistics by synchronizing various services with the logistics industry. Therefore, this study proposes a methodology and technology strategy that can achieve trend analysis using patent analysis and promote the development of the domestic smart logistics industry based on this. Based on the preceding research, eight key technology fields related to smart logistics were selected, and technology trends were derived through LDA techniques. After that, for the development of the domestic logistics industry, the strategy of the domestic smart logistics industry was derived based on analysis including technology capabilities. It proposed a growth plan in the field of big data and IoT in terms of artificial intelligence, autonomous vehicles, and marketability. This study confirmed smart logistics technologies by using LDA and quantitative indicators expressing the market and technology of patents in literature analysis-oriented research that mainly focused on trend analysis. It is expected that this method can also be applied to emerging logistics technologies in the future.
4,000원
19.
2024.09
구독 인증기관 무료, 개인회원 유료
The purpose of this study is to identify factors that influence consumers’ acceptance intentions towards Direct-to-Consumer (DTC) Genetic Testing service. DTC genetic testing service can be considered in two aspects: the application of new technology in genetic testing customers can directly purchase and the services for receiving the test results customer can’t directly analyze. Existing technology-based acceptance models have difficulty fully explaining consumers’ acceptance intentions towards DTC genetic testing services. Therefore, this study aims to propose a new acceptance model considering these two characteristics. A survey was conducted with 377 potential consumers for this research. The analysis revealed that health interest, prior knowledge, subjective norms, innovativeness, perceived usefulness, and perceived value affect consumers’ acceptance intentions. The results obtained through this study can help establish strategies and marketing plans necessary for the diffusion of services, such as DTC genetic testing services, that combine a new technology and a service. In the long term, the accumulated DTC genetic testing results data can contribute to the development of national genetic information infrastructure and preventive medical applications, as well as improve individuals’ quality of life.
4,200원
20.
2024.09
구독 인증기관 무료, 개인회원 유료
In today’s rapidly changing business environment, rapid decision making and effective project management are essential for business growth. This study examines how project manager competencies and organizational structures affect business performance. Successful project execution depends on the strategic use of project managers’ skills and organizational resources to maximize performance. An empirical study was conducted with 475 participants from the construction and engineering sectors. The applied analyses included multiple regression analysis and two-way ANOVA to assess how project manager competencies and organizational types affect business performance. The results of the study show that project manager competencies significantly improve business performance, especially when combined with appropriate organizational types. Effective use of organizational frameworks leads to better financial results, increased market competitiveness, and greater innovation. The results of the study are as follows: First, project manager competencies were found to have a significant positive effect on business performance. Second, the use of functional, project, and matrix organizations had a significant positive effect on business performance. This suggests that aligning organizational structures with business objectives is important for achieving optimal performance. Overall, this study provides valuable insights into the academic literature and practical applications of project management and organizational research. In addition, if we can select organizational members based on the learning effects of previous projects when operating new projects in the future, it will help reduce risks. Ultimately, it will improve the project manager’s competency level, promote the individual abilities and knowledge sharing of team members, and provide opportunities for the company to build efficient new systems. This will be evaluated as a valuable study in terms of academic and practical productivity.
4,800원
1
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