• The International Journal of Costume Culture
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• v.13 no.2
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• pp.88-92
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• 2010

The purpose of this research was to understand the successful establishment of the cultural industry chain in Korea and discover lessons for China to improve its cultural industry. It was concluded that a one-industry development pattern cannot win in market competition and a cultural industry will strengthen its sustainability only through smoothing its relationship with other industries and establishing a cultural industry chain so as to further development and resist crises together.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.3
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• pp.38-47
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• 2005

To efficiently manage the supply chain of an industry, the structure and characteristics of a supply chain have to be predefined and it is strongly required to get a framework to analyze a supply chain. We have developed a framework to analyze a supply chain from the viewpoint of chain relationship. It is possible to evaluate the degree of supply chain of each entity by using the framework. We have applied the framework to the port & logistics industry. From this research, we have identified tile current status of supply chain of port & logistics industry in the Korea and extracted some considerations for the healthy supply chain of Korean port & logistics industry.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.201-217
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• 2015

In this paper, we report computational testing result to examine the validity of firm's bankruptcy risk estimation through quantification of supply chain risk. Supply chain risk in this study refers to upstream supply risk and downstream demand risk, To assess the firm's risk affected by supply chain risk, we adopt unit of analysis as industry level. since supply and demand relationships of the firm could be generalized by the industry input-output table and the availability of various valid economic indicators which are chronologically calculated. The research model to estimate firm's risk level is the linear regression model to assess the industry bankruptcy risk estimation of the focal firm's industry with the independent variables which could quantitatively reflect demand and supply risk of the industry. The publicly announced macro economic indicators are selected as the candidate independent variables and validated through empirical testing. To validate our approach, in this paper, we confined our research scope to steel industry sector and its related industry sectors, and implemented the research model. The empirical testing results provide useful insights to further refine the research model as the valid forecasting mechanism to capture firm's future risk estimation more accurately by adopting supply chain industry risk aspect, in conjunction with firm's financial and other managerial factors.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.3
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• pp.9-21
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• 2004

Semiconductor industry is the one whose supply chain network is distributed all over the world. And it has different characteristics with other manufacturing industries as reentrancy, binning, substitution. In this paper, we suggest supply chain models for the semiconductor industry, consisting of production and distribution chains, where manufacturing characteristics are considered. Three policies for the production chain and two policies for the distribution chain are suggested and formulated mathematically. Six combination policies are tested for the evaluation of performances with example. It is shown that the supply chain is operated, if production and distribution are coordinated and managed based on the demand information, without inventory, as efficiently as the chain with inventory.

• Journal of Information Processing Systems
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• v.20 no.2
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• pp.215-225
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• 2024

With the rapid development of Internet of Things (IoT) and big data technology, a large amount of data will be generated during the operation of related industries. How to classify the generated data accurately has become the core of research on data mining and processing in IoT industry chain. This study constructs a classification model of IoT industry chain based on improved random forest algorithm and text analysis, aiming to achieve efficient and accurate classification of IoT industry chain big data by improving traditional algorithms. The accuracy, precision, recall, and AUC value size of the traditional Random Forest algorithm and the algorithm used in the paper are compared on different datasets. The experimental results show that the algorithm model used in this paper has better performance on different datasets, and the accuracy and recall performance on four datasets are better than the traditional algorithm, and the accuracy performance on two datasets, P-I Diabetes and Loan Default, is better than the random forest model, and its final data classification results are better. Through the construction of this model, we can accurately classify the massive data generated in the IoT industry chain, thus providing more research value for the data mining and processing technology of the IoT industry chain.

• Journal of Information Processing Systems
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• v.18 no.2
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• pp.208-222
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• 2022

Through the analysis of the coordination mechanism of the supply chain system of China's automobile manufacturing industry, the factors affecting the supply subsystem, the manufacturing subsystem, the sales subsystem, and the consumption subsystem are sorted out, the supply chain coordination index system based on the influence factor of four subsystems is established. The evaluation models of the coordination degree in the subsystem of the supply chain, the coordination degree among the subsystems, and the comprehensive coordination degree are established by using the efficiency coefficient method and the collaborative entropy method. Experimental results verify the accuracy of the evaluation model using the empirical analysis of the collaborative evaluation index data of China's automobile manufacturing industry from 2000 to 2019. The supply chain synergy of automobile manufacturing industry was low from 2001 to 2005, and it increased to a certain extent from 2006 to 2008 with a small growth rate from 0.10 to 0.15. From 2009 to 2013, the supply chain synergy of automobile manufacturing industry increased rapidly from 0.24 to 0.49, and it also increased rapidly but fluctuated from 2014 to 2019, first rising from 0.68 to 0.84 then dropping to 0.71. These results provide reference for the development of China's automobile manufacturing supply chain system and scientific decision-making basis for the formulation of relevant policies of the automobile manufacturing industry.

• Journal of Distribution Science
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• v.12 no.5
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• pp.33-40
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• 2014

Purpose - This paper aims to review cold chain management, especially in the pharmaceutical industry, to explore the cold chain process of delivering temperature-sensitive pharmaceutical products, and to identify areas for further development. Research design, data, and methodology - The paper, based on literature review and corporate analysis, reviews the development and status of the cold supply chain system, including its important role in the pharmaceutical industry. Results - Logistics in this field requires more stages than are typically needed. Due to the unique characteristics of the market, few companies can provide the services; currently, only few global companies with large networks and high technologies can afford to do so. Expanding pharmaceutical markets to meet global demand will require cold chain development, especially in "pharmerging" markets. Conclusions - Cold chain is a highly sensitive market in terms of products being carried within the chain that itself is a complex system. However, at the same time, it is a niche market with new opportunities. Hence, a sound cold chain infrastructure is needed to satisfy companies, governments, and customers for both commercial and public reasons.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.4
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• pp.67-77
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• 2017

The purpose of this research is to explore the factors affecting on Supply chain (SC). In fact, the collaborative supply chain (CSC) concept in Vietnam is quite new. Apart from obvious differences of doing business between Western versus and most of developing countries such as Vietnam, the literature suggests that collaboration in the supply chain (SC) of the furniture industry are quite low. The primary reason for such low adoption rates is low awareness of enterprises. In order to achieve the purpose of this study, a literature survey related to SC, CSC was carried out, and an empirical analysis was conducted among 276 manufacturers in this industry with the results analyzed. Using Cronbach's alpha analysis, Explore Factor Analysis (EFA) and Regression Analysis (RA) with primary data collected 276 valid samples from 393 samples in Vietnam, this paper explores and confirms that there are existed six basic factors affecting the collaboration in supply chain including: (i) Trust; (ii) Power; (iii) Maturity; (iv) Strategy; (v) Culture; and (vi) Frequency. Results of the research show strong evidences for policy makers and enterprises for management the supply chain collaboration in furniture industry as well as its contribution to literature review of supply chain management.

• International Area Studies Review
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• v.20 no.4
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• pp.91-119
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• 2016

As the 4th industry is introduced these days, so the demand of various semiconductors is growing in the market. And global semiconductor companies in semiconductor industry are responding to this demand by facilitating innovation. Meanwhile, there has been done many studies regarding supply chain for a long time. And the study of supply chain in semiconductor industry has often been carried out until now. But there were no enough case studies regarding the supply chain of semiconductor company. Therefore, this study carried out a comparative case study for global semiconductor companies' supply chain and compared each companies' supply chain management and strategy. In conclusion, all the companies are executing supply chain management in an aggressive, systematic and organized way, and there were a lot of similarities and a few differences among these companies in supply chain management. Furthermore, each company has a unique way for supply chain strategy. Lastly, this study suggested some messages which are helpful for their supply chain strategy.

• IE interfaces
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• v.13 no.3
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• pp.348-357
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• 2000

SCM(Supply Chain Management) is a new approach to satisfy customers via an integrated management for the whole business processes of the manufacturing from the raw material procurement to the product or service delivery to customers. Typically the semiconductor industry is the one whose supply chain network is distributed all over the world, and its manufacturing process has the particular characteristics which has to be considered in the modeling of supply chain. In this paper we suggest the push and pull type supply chain models based on the manufacturing characteristics and their mathematical formulation for the semiconductor industry. Push supply chain model pursuits the high throughput and the balance of the WIP flow, and pull supply chain model does to minimize the total cost of order-based manufacturing, distribution and transportation process in order to meet customer's request appropriately.