• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.98-105
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• 2021

The sensory stimulation of a cosmetic product has been deemed to be an ancillary aspect until a decade ago. That point of view has drastically changed on different levels in just a decade. Nowadays cosmetic formulators should unavoidably meet the needs of consumers who want sensory satisfaction, although they do not have much time for new product development. The selection of new products from candidate products largely depend on the panel of human sensory experts. As new product development cycle time decreases, the formulators wanted to find systematic tools that are required to filter candidate products into a short list. Traditional statistical analysis on most physical property tests for the products including tribology tests and rheology tests, do not give any sound foundation for filtering candidate products. In this paper, we suggest a deep learning-based analysis method to identify hand cream products by raw electric signals from tribological sliding test. We compare the result of the deep learning-based method using raw data as input with the results of several machine learning-based analysis methods using manually extracted features as input. Among them, ResNet that is a deep learning model proved to be the best method to identify hand cream used in the test. According to our search in the scientific reported papers, this is the first attempt for predicting test cosmetic product with only raw time-series friction data without any manual feature extraction. Automatic product identification capability without manually extracted features can be used to narrow down the list of the newly developed candidate products.

• The Journal of Society for e-Business Studies
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• v.5 no.1
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• pp.75-91
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• 2000

The new paradigm, which is called Electronic Commerce (EC), has greatly influenced not only enterprises but also other part of our society. Many goods have been actively transacted through EC all over the world. But there is a great difference between agricultural products and industrial products in terms of selling and buying behavior. Industrial products are well standardized and time-invariant in quality but agricultural products are not. Even the domestic distribution channels of agricultural products are much complex and are not modernized with internet technology. In this study, we first identify the behaviors of electronically transacting agricultural products and then develop and EC architecture far agricultural products in Korea. We suggest that EC for agricultural products focuses on B2B (Business to Business) model and various agricultural information should be distributed from B2B market over all supply chain and demand chain channels.

• Management & Information Systems Review
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• v.38 no.2
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• pp.165-182
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• 2019

This study investigated the consumer acceptance process of the fourth industrial revolution new product to be introduced into the market in the future. The 4th Industrial Revolution new products are technological advances compared to the existing ones. The technology acceptance model that was used in the past has been modified to reflect variables like the social effects of the 4th Industrial Revolution, expected experience, and perceived risk. Modified models were proposed and verified. Six representative new products of the 4th Industrial Revolution were selected and examined by 40 respondents, and the hypotheses were verified using programs such as SPSS and AMOS. And conclusions and implications are as follows. First, the innovativeness of the fourth industrial revolution new products influences positive evaluation factors such as expected experience and perceived usefulness and it also affect positively to the perceived risk. In addition, the expected experience of the fourth industrial revolution new products has a great effect on the perceived usefulness and social influence, but it didn't affect to the perceived risk. Like the results of the TAM model, purchase intention of the fourth industrial revolution new products are strongly influenced by perceived usefulness. Finally, the perceived risk of the new product of the 4th Industrial Revolution had no statistically significant effect on the purchase intention, and the social influence of the 4th Industrial Revolution had a significant effect on the purchase intention. In general, respondents are highly aware of the social impact of the Fourth Industrial Revolution and seem to be very positive in this respect.

• Journal of Korean Institute of Industrial Engineers
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• v.31 no.3
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• pp.210-218
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• 2005

In the current global business environment, it is very important how to allocate products from the producer to buyers (or distributors). Sometimes some buyers can order more than pertinent demand due to inappropriate forecasting customers' orders. This is the big obstacle to the efficient allocation of products. If the producer can become aware of buyers' pertinent demand, it is possible to realize the high-level order fulfillment through the effective allocation of products. In this study, a new allocation policy is proposed considering buyers' demands. The backpropagation algorithm, one of algorithms in neural network theory, is used to find pertinent demands from the distributors' orders. In the experiment, an allocation policy considering buyers' demands outperforms previous allocation policies.

• Journal of Korean Institute of Industrial Engineers
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• v.31 no.3
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• pp.240-247
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• 2005

Today's hightech society requires thousands of different products which ultimately result in billions of tons of materials discarded, most of which end up in landfills. Therefore industrial circles could not help thinking about environmental problems by regulations of government or pressures of consumer. Generally, the related research subjects are classified into both of environmentally conscious manufacturing and product recovery, where product recovery aims to minimize the amount of waste sent to landfills by recovering materials and parts from old or outdated products by means of recycling and remanufacturing (including reuse of parts and products). In this research, we constructed a model for remanufacturing various goods using a single facility and developed a dynamic programing(DP) algorithm based upon the optimal solution characterization. We showed the efficiency of the developed DP algorithm with a numerical example.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.1
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• pp.108-121
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• 2008

Dispatching rule for parallel machines with multi product is proposed in this paper, In current market,customer's request for higher quality is increasing, In accordance with such demand, manufacturers are focusingon improving the quality of the products. Such shift in production objective is risky. The possibility ofneglecting another important factor in customer satisfaction increases, namely due dates. From the aspect ofimproving quality, frequency of product assignment to limited number of high performance machines willincrease. This will lead to increased waiting time which can incur delays, In the case of due date orientedproduct dispatch, Products are assigned to machines without consideration for quality. Overall deterioration ofproduct quality is inevitable, In addition, Poor products will undergo rework process which can increase delays.The objective of this research is dispatching products to minimize due date delays while improving overallquality. Quality index is introduced to provide means of standardizing product quality. The index is used toassure predetermined quality level while minimizing product delays when dispatching products. Qualitystandardization method and dispatching algorithm is presented. And performance evaluation is performed withcomparison to various dispatching methods.

• Journal of Distribution Science
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• v.22 no.8
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• pp.55-63
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• 2024

Purpose: This study focuses on the golden banana (Kluai Hom Thong) from the Ban Khok Banana Community Enterprise Group in Sang Khom District, Udon Thani Province, Thailand. Despite its potential as an export crop and minimal disease or insect management issues, the group's products struggled to reach international markets due to lack of marketing opportunities, distribution channels, and proper packaging. The research aims to analyze and develop packaging and logos to test market potential for the group's products. Research design, data and methodology: Data was collected through questionnaires developed in conjunction with three printing and packaging design experts. Market testing involved 100 randomly sampled consumers of the group's products. Results: The new packaging design was perceived as more international, modern, and suitable as a souvenir for adults. Conclusions: Integrating ethnic elements and local materials into packaging design can enhance product appeal. For example, creating cloth bags from fabric scraps for carrying local woven products can impress consumers. This approach could help overcome market barriers and improve prospects for golden banana products in international markets while maintaining the intact ecosystem and environment of the production area. The study highlights the importance of effective packaging and branding in addressing market access challenges for local agricultural enterprises, potentially opening new opportunities for community-based businesses.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.1
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• pp.37-44
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• 2021

The information products dramatically reduce the production costs of vertically differentiated products. Information products are also more likely to be affected by network externalities. Thus the proliferation of digital products is increasing the interests in network externality and vertical product differentiation. In step with this trend, the impact of network externalities on price competition in vertically differentiated markets has been continuously studied. Existing studies related to this topic have assumed that network externalities increase consumers' willingness to pay per unit quality. The results show that higher quality products are affected more by network externality. However, network externality is essentially a concept affected by the size of the consumer, not a concept associated with quality. In this work, unlike previous studies, we present a new market model that reflects the essential definition of network externality. Based on the proposed market model, we derive both simultaneous and sequential Nash equilibria and analyze them numerically. The main results obtained from the analysis can be summarized as follows. First, network externalities primarily increase the demand for low-quality products and have a secondary impact on the demand for high-quality products. Second, the larger the quality difference between products, the more profitable they are. It also has been shown that sequential pricing methods are more advantageous in terms of revenue than simultaneous pricing method.

• Journal of Radiation Industry
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• v.18 no.3
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• pp.241-248
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• 2024

Meat products such as ground meat and freshly packaged meat are known to be one of the primary food sources for foodborne illnesses. While 17 countries internationally allow irradiation treatment to ensure the hygienic safety of these products, Korea currently has no such regulations. In this study, a survey was performed targeting 1,000 individuals from the general public and 70 employees from the industrial sector about the need to establish domestic irradiation treatment regulations for meat products and the perception of food irradiation technology. The results showed that 78.4% of the general public and 81.4% of industrial employees responded that it is necessary to establish irradiation treatment regulations for meat products. The main reason for this was that irradiation treatment can help prevent food poisoning by ensuring the microbiological safety of the products. Besides, 94% of the general public responded that they would purchase irradiated meat products if the regulations were activated, and 66% of industrial employees expressed their intention to use irradiation treatment technology. This response indicates positive public acceptance and industrial applicability of food irradiation technology. In addition, this study suggested that continuous research to ensure safety, promotion, and education through various media had to be conducted as the supplementation for food irradiation technology before its application.

• Journal of Environmental Health Sciences
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• v.34 no.1
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• pp.108-115
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• 2008

This study was performed to investigate the current status, in Korea, of the production of asbestos containing products (ACPs) such as asbestos cement products, asbestos friction materials, asbestos joint sheets, asbestos textile products, and other asbestos-containing products from May 2 to July 30, 2007. The information on ACPs was obtained through written questionnaires from 16 of the 27 companies that produce ACPs in Korea. The production amounts of asbestos containing gaskets were 70 tons in 2004, 90 tons in 2005, and 55 tons in 2006 in 4 companies and that of asbestos friction materials were 435.5 tons in 2004, 540.4 tons in 2005, and 454.3s ton in 2006 in 10 companies. The type and number of ACPs were:- 19 asbestos cement products, produced by 2 companies; 47 asbestos friction materials produced by 18 companies; 12 asbestos joint sheets productes by 4 companies; 18 asbestos textile products from 3 companies, and 6 other asbestos products from 5 companies. The database of ACPs was constructed to include the products name, identification number, name of company, production year, composition, asbestos content (%), usage, specification, and a picture. The database will be used to efficiently identify ACPs and to avoid asbestos exposure in workers and the general population.