• International Journal of Fuzzy Logic and Intelligent Systems
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• v.4 no.1
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• pp.119-124
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• 2004

Real data as web log file tend to be incomplete. But we have to find useful knowledge from these for optimal decision. In web log data, many useful things which are hyperlink information and web usages of connected users may be found. The size of web data is too huge to use for effective knowledge discovery. To make matters worse, they are very sparse. We overcome this sparse problem using Markov Chain Monte Carlo method as multiple imputations. This missing value imputation changes spare web data to complete. Our study may be a useful tool for discovering knowledge from data set with sparseness. The more sparseness of data in increased, the better performance of MCMC imputation is good. We verified our work by experiments using UCI machine learning repository data.

• Spatial Information Research
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• v.22 no.2
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• pp.73-87
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• 2014

The fact that the limits of information recency, diversity, and usability are mainly caused by the supply oriented geospatial data and service development is commonly recognized. It is recently tried to overcome the limits by facilitating user experience and VGI(Volunteered Geographic Information) in several geospatial web services. This study suggests 10C framework of geospatial web service for VGI through review and examination of previous research. Based on the 10C framework, the value chain system of 23 use cases relevant to the geospatial web service involving the creation of user's VGI is investigated. The result of the value chain analysis is applied to examine and formulate the strategies to generate value addition from public spatial information with respect to creation, aggregation, delivery, and consumption process of VGI.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.159-160
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• 2021

From the simulation results, under the collaborative platform of big data based on coordination of the beer industry to mobilize the supply chain operation condition, supply chain direct logistics inventory are in a relatively stable value, and there is no zero inventory or even a serious lack of beer in the stock situations like traditional beer supply chain operation, which avoid the situation of demand information expansion caused by chain inventory levels report because of the serious lack of supply.

• Journal of Distribution Science
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• v.15 no.8
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• pp.15-28
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• 2017

Purpose - Many researchers analyze VMI as a supply chain collaboration program to reveal its true value. Most of them focus on the dyadic relationship in two stage supply chain systems. This study examines the effect of VMI when it is applied to the different parts of three stage supply chain systems. Research design, data, and methodology - Based on three stage supply chain, this study compares three different systems including full VMI, partial VMI, and non-VMI by using mathematical models. The performances of three systems are compared with the numerical examples of the proposed supply chain models. Results - The numerical examples reveal that full VMI where the manufacturer controls inventories at all stages outperforms any other systems in terms of the system profit and enables all individual members to gain greater profits than non-VMI. Meanwhile, under partial VMI where VMI is implemented between the wholesaler and retailer, only these two members improve their performances and the manufacturer who does not belong to VMI makes less profit than even under non-VMI. This study also examines the impact of market size and profit margin on the system performance. Conclusions - The result of this study supports the common belief that VMI secures the best result when it is applied to the entire supply chain system. The additional findings from the numerical analysis are discussed.

• The Journal of Information Systems
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• v.21 no.3
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• pp.187-214
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• 2012

Supply chain management(SCM) helps firms in integrating their business by collaborating with other value chain partners to meet the unpredictable demand of the end user. Agility is the fundamental characteristic of a supply chain needed for survival in turbulent and volatile markets, which are becoming norms as product life cycles shorten and environmental forces create additional uncertainty resulting in higher risk in the supply chain management. Literature reviews reveals various factors that could affect the agility. The objective of this study is to derive interdependence, partnership, quality of information, joint problem solving, modelize the mutual influential relationship between them, and look into the influential relationship influencing the agility. To test the proposed model, we used a data set generated from survey. Date analysis was conducted using 122 respondents. We used structural equation model (SEM) implemented in partial least square(PLS). The results of this study can be summarized as follows. Interdependence had a significant impact on partnership. Partnership had a significant impact on quality of information and joint problem solving. Quality of information had a significant impact on joint problem solving. Quality of information and joint problem solving had a significant impact on agility. This study diagnoses that Inter-organizational relationship characteristics are important for supply chain agility. Inter-organizational relationship characteristics are considered as an essential factor for supply chain agility.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.192-203
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• 2020

Although the market demand for cold-chain logistics of agricultural products in China is growing rapidly, the technology and scale of cold-chain logistics in China still lag behind the developed countries, resulting in large energy consumption. In our country, many authors have studied the efficiency of cold-chain logistics by using analytic hierarchy process and data envelopment method, but they haven't eliminated the influence of environmental factors and random error factors on the efficiency of cold-chain logistics, and most of them are limited to regional research. Therefore, in this paper, the three-stage DEA method is used. Based on the green logistics idea, firstly, the efficiency of 29 listed logistics enterprises in China is analyzed. Secondly, this paper uses SFA model to exclude the influence of environment and error factors on the analysis results, taking the enterprise's operating years, local GDP and the proportion of cold chain assets as environmental variables. Finally, this paper estimates the efficiency value again by adjusting the input value. The results are as follows: the main reason of high efficiency enterprises is to achieve scale efficiency. So the scale of assets should be maintained or appropriately expanded. At the same time, the economic development and the number of years of enterprise establishment will significantly affect the efficiency of cold-chain logistics. The influence of these environmental variables on the accuracy of the analysis conclusion should be fully considered.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.4
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• pp.101-118
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• 2008

This study compares supply chain integration practices of high performing manufacturing plants in Korea and those in the U.S., Japan, and six European countries. Data were drawn from the High Performance Manufacturing(HPM) Round 3, a joint data-collection effort on manufacturing and supply chain management. Specifically, in the automotive, electronics, and machinery industries, we selected twenty Korean plants with high performance reputation and chose the same number of non-Korean plants(HPM top 20), based upon their competitive manufacturing capability index and customer satisfaction index. The Korean plants do not significantly differ from HPM top 20 plants in that internal value creation activities are coordinated and integrated at the corporate level and between plants. The Korean plants, however, demonstrated more integration with suppliers than with customers, and only the two of them were classified as 'outward facing', which pursues greater integration with both customers and suppliers. Unbalanced and lower integration with customers of the Korean plants was attributed to the lower than expected manufacturing capability and customer satisfaction. Implications for supply chain professionals were discussed.

• Korea Trade Review
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• v.46 no.6
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• pp.1-19
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• 2021

This paper examines the impact of sanitary and phytosanitary standards (SPS) and technical barriers to trade (TBT) on Korean exports, taking global value chains (GVC) participation into consideration. Using product-level import data from 2000 to 2014, we find heterogeneous effects of importers' SPS and TBT on Korean exports depending on the degree and position of GVC participation. According to the results, trade restrictive effects of SPS and TBT are smaller for industries that are more deeply involved in GVC. However, trade restrictive effects are greater for industries located at a relatively upstream production stage in GVC.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1217-1230
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• 2021

Using a multinomial logit model with the panel-data set of Vietnam manufacturing firms, this paper investigates the impacts of foreign direct investment (FDI) - small and medium enterprises (SMEs) linkages and other factors on SMEs' participation in the global value chain (GVC). We consider GVC firms are those engaging in any of the three modes including (i) using domestic inputs to export (D2E), (ii) using imported inputs to produce for the domestic market (I2P), (iii) using imported inputs to export (I2E). We discover that FDI-SME linkages statistically encourage Vietnamese SMEs to integrate into the GVC via I2P and I2E, while no statistical association between FDI-SME linkage and D2E participation is found. GVCs participation likelihood is also positively correlated with the introduction of new product introduction. The establishment of firms' production facilities in industrial zones and foreign ownership are both reported to be significantly decisive factors to SMEs' decisions on GVC participation. Besides, there is a strong association between firms' attributes, i.e. employment, capital intensity as well as financial access, and their participation in the GVC. Local governance quality (proxied by the Provincial Competitiveness Index) and the share of skilled labor at the province-level can facilitate firms' integration into GVCs, while greater market concentration may be a hurdle to such potential.

• Korea Trade Review
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• v.44 no.1
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• pp.115-127
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• 2019

In recent years, the Indian market has gained worldwide attention in the global trading business environment. Korean companies are also seeking to enter the indian market, and their foreign trade investment strategy is based on the Global Value Chain(GVC). In this study, we examine difference from traditional investment strategy to GVC investment strategy in the age of 4IR(fourth industrial revolution) through using POLS model(pooled least square), FEM(fixed effect model), and REM(randomized effect model). Based on the analysis of 84 monthly data related to the FDI and international trade effects between Korea and India, the following results were found. As Korean companies increased their share of export to the Indian market and export to the Indian market, the number of new companies directly invested in overseas market increased. However, the amount of import into the Indian market was relatively low in relation to the number of new companies directly in overseas markets. As a result of analyzing the investment strategy of the GVC in India, the GVC has shifted from manufacturing to process upgrading to enter the GVC on Smile Curve.