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We principally focus on evaluating the local and entire network performance of railway stations for sustainable logistics management in South Korea. Specifically, we aim to address the issue of dealing with vulnerability in logistics dependent on the degree of connectivity. To resolve this issue, we investigate (i) the current level of local railway station sustainability performance from the perspectives of the value of the station (node) and the geographical location (place), and (ii) how railway station network management can prepare for imminent internal and external risks. Integrating node–place analysis and social network analysis approaches, we demonstrate a means of assessing (i) local railway station performance by comparing how one station’s value differs from that of other stations, and (ii) overall railway network performance by measuring the degree of connectivity based on the centrality characteristics. Consequently, we recommend improvement in planning orders considering the degree of local performance and network vulnerability for railway station network sustainability.
Joon-Seok Kim; Nina Shin. Planning for Railway Station Network Sustainability Based on Node–Place Analysis of Local Stations. Sustainability 2021, 13, 4778 .
AMA StyleJoon-Seok Kim, Nina Shin. Planning for Railway Station Network Sustainability Based on Node–Place Analysis of Local Stations. Sustainability. 2021; 13 (9):4778.
Chicago/Turabian StyleJoon-Seok Kim; Nina Shin. 2021. "Planning for Railway Station Network Sustainability Based on Node–Place Analysis of Local Stations." Sustainability 13, no. 9: 4778.
Dong-Yun Kim; Space Leaven; Joon-Seok Kim. A Study on Collavorative SCM for O2O Startups. Journal of Industrial Distribution & Business 2019, 10, 43 -55.
AMA StyleDong-Yun Kim, Space Leaven, Joon-Seok Kim. A Study on Collavorative SCM for O2O Startups. Journal of Industrial Distribution & Business. 2019; 10 (12):43-55.
Chicago/Turabian StyleDong-Yun Kim; Space Leaven; Joon-Seok Kim. 2019. "A Study on Collavorative SCM for O2O Startups." Journal of Industrial Distribution & Business 10, no. 12: 43-55.
Blockchain technology developed as a technical platform for electronic money. It is now considered a next generation information technology tool for sustainable growth in supply chain (SC) management. However, its study is relatively rare in the literature on SC collaboration and sustainability management research, despite its advantages in sustaining connectivity and reliability among SC partners. This study investigates how the use of blockchain in SC activities can influence (increase or decrease) SC partnership efficiency and growth, thereby affecting SC performance outcomes. Specifically, this study empirically validates a measurement and structural equation model with 306 SC experts from various industries. The findings show that the blockchain technology characteristics (information transparency, information immutability, and smart contracts) have significant positive effects on partnership growth and marginal effects on partnership efficiency. Though partnership growth has a positive effect on firm performance, partnership efficiency shows a negative effect.
Joon-Seok Kim; Nina Shin. The Impact of Blockchain Technology Application on Supply Chain Partnership and Performance. Sustainability 2019, 11, 6181 .
AMA StyleJoon-Seok Kim, Nina Shin. The Impact of Blockchain Technology Application on Supply Chain Partnership and Performance. Sustainability. 2019; 11 (21):6181.
Chicago/Turabian StyleJoon-Seok Kim; Nina Shin. 2019. "The Impact of Blockchain Technology Application on Supply Chain Partnership and Performance." Sustainability 11, no. 21: 6181.
We study inventory pooling in systems with symmetric costs where supply lead times are endogenously generated by a finite-capacity production system. We investigate the sensitivity of the cost advantage of inventory pooling to various system parameters, including loading, service levels, demand and production time variability, and structure of the production system. The analysis reveals differences in how various parameters affect the cost reduction from pooling and suggests that these differences stem from the manner in which the parameters influence the induced correlation between lead-time demands of the demand streams. We compare these results with those obtained for pure inventory systems, where lead times are exogenous. We also compare inventory pooling with several forms of capacity pooling.production-inventory systems, make-to-stock queues, inventory pooling, demand correlation
Saif Benjaafar; William L. Cooper; Joon-Seok Kim. On the Benefits of Pooling in Production-Inventory Systems. Management Science 2005, 51, 548 -565.
AMA StyleSaif Benjaafar, William L. Cooper, Joon-Seok Kim. On the Benefits of Pooling in Production-Inventory Systems. Management Science. 2005; 51 (4):548-565.
Chicago/Turabian StyleSaif Benjaafar; William L. Cooper; Joon-Seok Kim. 2005. "On the Benefits of Pooling in Production-Inventory Systems." Management Science 51, no. 4: 548-565.
Saif Benjaafar; Joon-Seok Kim; N. Vishwanadham. On the Effect of Product Variety in Production–Inventory Systems. Annals of Operations Research 2004, 126, 71 -101.
AMA StyleSaif Benjaafar, Joon-Seok Kim, N. Vishwanadham. On the Effect of Product Variety in Production–Inventory Systems. Annals of Operations Research. 2004; 126 (1-4):71-101.
Chicago/Turabian StyleSaif Benjaafar; Joon-Seok Kim; N. Vishwanadham. 2004. "On the Effect of Product Variety in Production–Inventory Systems." Annals of Operations Research 126, no. 1-4: 71-101.
3-D shape comparison of anatomical objects is essential task in distinguishing between abnormal and normal organs. Such discrimination is also necessary in following up patients for the evaluation of treatments. This paper presents an efficient representation and analysis method for 3-D shape comparison based on a multiresolution approach. Initially, we reconstruct anatomical objects by adapting a multiresolution deformable surface model to the image pyramid with a coarse-to-fine fashion in order to avoid false surface. Then we interactively compare the reconstructed objects by multiresolution analysis based on an Octree structure. The partial comparison at specific location helps to focus on a region of interest within an anatomical structure and to detect local shape changes easily. We present some results of applying our method to the extracted brain cortical surfaces from MR images.
Soo-Mi Choi; Jeong-Sik Kim; Yong-Guk Kim; Joo-Young Park. 3-D Shape Analysis of Anatomical Structures Based on an Interactive Multiresolution Approach. Computer Vision 2004, 3331, 319 -326.
AMA StyleSoo-Mi Choi, Jeong-Sik Kim, Yong-Guk Kim, Joo-Young Park. 3-D Shape Analysis of Anatomical Structures Based on an Interactive Multiresolution Approach. Computer Vision. 2004; 3331 ():319-326.
Chicago/Turabian StyleSoo-Mi Choi; Jeong-Sik Kim; Yong-Guk Kim; Joo-Young Park. 2004. "3-D Shape Analysis of Anatomical Structures Based on an Interactive Multiresolution Approach." Computer Vision 3331, no. : 319-326.