• Title/Summary/Keyword: global performance analysis

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The Impact of the Competitiveness of Intermediate Software on Enterprise Results : a Case Study of Chinese Intermediate Software

  • Liu, Zi-Yang;Chen, Yi;Li, Hao
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.258-261
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    • 2018
  • The purpose of this paper is to draw a conclusion on the impact of intermediate software on enterprise results. In this paper, product innovation and product reliability are especially used as analytical factors. An exploratory analytical study is conducted on the competitiveness of intermediate software, in the hope of gaining a new understanding of the competitiveness of intermediate software. Data are analyzed using such quantitative analytical tools as SPSS and AMOS. Using reliability analysis, validity analysis and structural equation model analysis, the final results are achieved. According to the analysis results, we can draw the following conclusions: the competitiveness of intermediate software has a positive impact on the innovation of software products. The competitiveness of intermediate software doesn't have a positive impact on the reliability of software products. Product innovation has a positive impact on enterprise results. Product reliability also has a positive impact on enterprise results. By analyzing the conclusions, we can make certain suggestions and draw implications on the competitiveness of China's software industry.

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Global sensitivity analysis improvement of rotor-bearing system based on the Genetic Based Latine Hypercube Sampling (GBLHS) method

  • Fatehi, Mohammad Reza;Ghanbarzadeh, Afshin;Moradi, Shapour;Hajnayeb, Ali
    • Structural Engineering and Mechanics
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    • v.68 no.5
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    • pp.549-561
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    • 2018
  • Sobol method is applied as a powerful variance decomposition technique in the field of global sensitivity analysis (GSA). The paper is devoted to increase convergence speed of the extracted Sobol indices using a new proposed sampling technique called genetic based Latine hypercube sampling (GBLHS). This technique is indeed an improved version of restricted Latine hypercube sampling (LHS) and the optimization algorithm is inspired from genetic algorithm in a new approach. The new approach is based on the optimization of minimax value of LHS arrays using manipulation of array indices as chromosomes in genetic algorithm. The improved Sobol method is implemented to perform factor prioritization and fixing of an uncertain comprehensive high speed rotor-bearing system. The finite element method is employed for rotor-bearing modeling by considering Eshleman-Eubanks assumption and interaction of axial force on the rotor whirling behavior. The performance of the GBLHS technique are compared with the Monte Carlo Simulation (MCS), LHS and Optimized LHS (Minimax. criteria). Comparison of the GBLHS with other techniques demonstrates its capability for increasing convergence speed of the sensitivity indices and improving computational time of the GSA.

4차 고다드 알고리즘의 몇 가지 수렴 성질: 2. 평균성능함수의 기하

  • 최진호;배진수;송익호;박래홍;이민수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.9
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    • pp.2355-2361
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    • 1996
  • Convergence analysis on Godard's quartic(GQ) algorithm used for blind equalization is accomplished in this paper. First, we explain the local behavior of the GQ algoithm around the global minimum point of the average performance function. Then we consider the geometry of the average performance function. The main result is that a good initial parameter vector of the GQ algorithm can be chosen based on the information of the geometry of the average performance function.

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A Global Robust Optimization Using the Kriging Based Approximation Model (크리깅 근사모델을 이용한 전역적 강건최적설계)

  • Park Gyung-Jin;Lee Kwon-Hee
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.29 no.9 s.240
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    • pp.1243-1252
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    • 2005
  • A current trend of design methodologies is to make engineers objectify or automate the decision-making process. Numerical optimization is an example of such technologies. However, in numerical optimization, the uncertainties are uncontrollable to efficiently objectify or automate the process. To better manage these uncertainties, the Taguchi method, reliability-based optimization and robust optimization are being used. To obtain the target performance with the maximum robustness is the main functional requirement of a mechanical system. In this research, a design procedure for global robust optimization is developed based on the kriging and global optimization approaches. The DACE modeling, known as the one of Kriging interpolation, is introduced to obtain the surrogate approximation model of the function. Robustness is determined by the DACE model to reduce real function calculations. The simulated annealing algorithm of global optimization methods is adopted to determine the global robust design of a surrogated model. As the postprocess, the first order second-moment approximation method is applied to refine the robust optimum. The mathematical problems and the MEMS design problem are investigated to show the validity of the proposed method.

Application of Automotive Closure Parts with Multi-Material Design Concept

  • Kanghwan Ahn;Kyunghwan Chung;Min Hong Seo;Gisuk Chung;Yeonsik Kang
    • Corrosion Science and Technology
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    • v.23 no.5
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    • pp.402-409
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    • 2024
  • The automotive industry is changing rapidly with the electrification of vehicle powertrains. Many EV platforms have emerged, and the safety issues of battery-pack structures are being studied. The goal of vehicle design is a reasonable compromise between weight reduction and vehicle cost without decreasing vehicle performance or safety. Reducing the impact on global warming is another concern. Automotive industries are making efforts to confront this situation, one of which is using multi-material structures for vehicle bodies. Automotive closure parts account for more than 15% of the total vehicle body weight and have many different components. Therefore, efforts have been made to optimize the structure and material to reduce weight. However, applying different materials to automotive closure parts presents several technical challenges. The combination of dissimilar materials is vulnerable to corrosion, and distortion may occur after the painting process due to the different thermal responses of the materials. From a manufacturing perspective, the use of multi-materials can cause problems in the production line (process conformity). Thus, adaptive solutions to produce closure parts made of multi-materials are needed. This study addressed the design of multi-material closure parts and related manufacturing process issues, such as forming, assembling, corrosion resistance, and dimensional accuracy.

A Study on the Competitive Factor of Global Logistics Hub Cities Using a Importance-Performance Analysis : Focusing on the Case of Incheon Metropolitan City (IPA분석을 통한 글로벌 물류 허브도시 경쟁요인에 관한 연구 : 인천광역시 사례를 중심으로)

  • Lee, Myeong-Hwa;Shin, Mi-Na;Kim, Un-Soo
    • Journal of Korea Port Economic Association
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    • v.40 no.2
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    • pp.205-219
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    • 2024
  • This study assesses Incheon Metropolitan City's potential as a global logistics hub amid intensified competition since the 2000s. Utilizing Importance-Performance Analysis(IPA), it evaluates competitive factors for logistics hub cities and Incheon's current positioning. The research identifies world-class infrastructure development and global city connectivity as key competitiveness factors. While Incheon, with its international airport and port, currently functions as a logistics hub, areas for improvement emerge. Recommendations include developing specialized cargo infrastructure for cold-chain and e-commerce, expanding the global network through multimodal transportation, and addressing gaps in smart and eco-friendly logistics. These suggestions encompass professional training, information platform establishment, and sector-wide decarbonization initiatives. The study's significance lies in its IPA-driven evaluation of competitiveness factors and Incheon's status, providing actionable recommendations for strategic planning to enhance the city's position as a global logistics hub.

Impact of Government Response to COVID-19 on the Role of GVC and Transportation

  • Hyuksoo Cho;Sang-kyun Kim
    • Journal of Korea Trade
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    • v.27 no.2
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    • pp.22-46
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    • 2023
  • Purpose - study aims to investigate the relationships between global value chain (GVC)- and transportation-related determinants and economic performance. Also, moderating effects of COVID-19 on the relationships are theoretically and empirically discussed. A limitation of previous studies includes their over-reliance on the opportunities of GVC participation and larger transportation. This study represents the challenges associated with them. Also, it shows how GVC and logistics can be difficult in case of a market fluctuation such as COVID-19. Design/methodology - The sample for this study includes 828 observations from 138 countries. A semi-panel data set has been used. Six observations for each country are used to empirically test the hypotheses and a Two-way cluster model is conducted. Findings - It is confirmed that GVC forward participation contributes more than the backward participation to enhance performance. Transportation infrastructure is critical, but large scales of marine and air transportations are not positive in terms of economic performance. Stricter government response to COVID-19 negatively moderates economic performance by GVC backward participation and transportation infrastructure. Originality/value - The spread of COVID-19 is causing a severe collapse of GVC and transportation. This study empirically verifies the moderating effects of the government stringency on GVC and transportation. Previous studies usually discuss a positive impact of GVC and transportation size on economic performance. However, this study aims to show various challenges behind GVC participation and large scale transportation.

Seismic retrofit of structures using added steel column friction dampers

  • Mohammad Mahdi Javidan;Asad Naeem;Jinkoo Kim
    • Steel and Composite Structures
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    • v.49 no.3
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    • pp.257-270
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    • 2023
  • In this study, the feasibility and applicability of a friction damper with a vertical installation scheme are investigated. This device is composed of a steel section and two friction hinges at both ends which dissipate seismic energy. Due to its small width and vertical installation scheme, the proposed damper can minimize the interference with architectural functions. To evaluate the performance of the proposed damper, its mechanical behavior is theoretically evaluated and the required formulas for the yield strength and elastic stiffness are derived. The theoretical formulas are verified by establishing the analytical model of the damper in the SAP2000 software and comparing their results. To further investigate the performance of the developed damper, the provided analytical model is applied to a 4-story reinforced concrete (RC) structure and its performance is evaluated before and after retrofit under the Maximum Considered Earthquake (MCE) hazard level. The seismic performance is thoroughly evaluated in terms of maximum interstory drift ratio, displacement time history, residual displacement, and energy dissipation. The results show that the proposed damper can be efficiently used to protect the structure against seismic loads.

Effect of Entrepreneurial Ecosystem Quality on Entrepreneurship Performance (창업 생태계 품질이 창업 성과에 미치는 영향)

  • Lee, Eun-Ji;Cho, Young-Ju
    • Journal of Korean Society for Quality Management
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    • v.50 no.3
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    • pp.305-332
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    • 2022
  • Purpose: As the public interest in entrepreneurship has been highlighted and entrepreneurship policies have been generated, this study is to construct Entrepreneurship Ecosystem (EE) models which have a significant relationship to national entrepreneurship with quantitative analysis. It aims to provide implications to EE policymakers that which national components are effective in cultivating innovative entrepreneurship and validate its EE quality based on quantitative performance goals. Methods: This study utilizes secondary data, categorized under the PESTLE factor from credible international organizations (WB, UNDP, GEM, GEDI, and OECD) to determine significant factors in the quality of the entrepreneurial ecosystem. This paper uses the Multiple Linear Regression (MLR) analysis to select the significant variables contributing to entrepreneurship performance. Using the AUC-ROC performance evaluation method for machine learning MLR results, this paper evaluates the performance of EE models so that it can allow approving EE quality by predicting potential performance. Results: Among nine hypothesis models, MLR analysis examines that the number of the Unicorn company, Unicorn companies' economic value, and entrepreneurship measured as GEI can be reasonable dependent variables to indicate the performance derived from EE quality. Rather than government policies and regulations, the social, finance, technology, and economic variables are significant factors of EE quality determining its performance. By having high Area Under Curve values under AUC-ROC analysis, accepted MLR models are regarded as having high prediction accuracy. Conclusion: Superior EE contributes to the outstanding Unicorn companies, and improvement in macro-environmental components can enhance EE quality.

The Relationship Between Sustainability, SCM Performance, and Financial Performance of Korean SMEs

  • Han, Neung-Ho;Choi, Doo-Won
    • Journal of Korea Trade
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    • v.26 no.2
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    • pp.84-99
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    • 2022
  • Purpose - This study carried out an empirical study of the impact of sustainability - which has been gaining attention as challenges are arising in supply chains based on existing trade networks due to the impact of the COVID-19 pandemic - on SCM performance and financial performance of Korean SMEs. The study seeks to propose a measurement model to enhance the SCM performance and financial performance of Korean SMEs and to identify the relationship between sustainability, SCM performance and financial performance to suggest implications to SMEs, governments, and relevant organizations. Design/methodology - Our Analysis established hypotheses that economic sustainability, environmental sustainability, and other factors related to sustainability have a positive impact on SCM performance and financial performance as well as SCM performance has a positive impact on financial performance, making empirical validations by utilizing Structural Equation Modeling based on data collected through survey from Korean SMEs. Findings - According to an empirical study, although environmental sustainability and economic sustainability among factors of sustainability had a positive influence on SCM performance, social sustainability did not have a statistically significant influence. Furthermore, it was learned that only economic sustainability had a positive influence on financial performance while SCM performance has a positive influence on financial performance. Originality/value - This empirical study explored the relationship between SCM performance and financial performance of Korean SMEs with a high tendency to depend on specific supply chains when the international trade network is in confusion and/or the global supply chain has collapsed. If Korean SMEs allocate management resources to the factors deducted from this study, they would be able to build more efficient supply chains and improve financial performance to improve sustainability.