• Title/Summary/Keyword: industrial by products

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The Impact of Japanese Electronic Products' Perceived Risk on Avoidance Intention

  • NAM, Gyu-Bin;YANG, Jae-Jang
    • 산경연구논집
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    • 제13권11호
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    • pp.47-64
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    • 2022
  • Purpose: This study's goal is to investigate how perceived risk of Japanese electronic product affect the negative emotion and the avoidance intentions. In addition, this is difference in the effect of perceived risk on negative emotions and avoidance intentions according to the presence or absence of substitutes. Research design, data and methodology: Perceived risks of Japan products are decided by four dimensions, they are economic risk, social risk, psychological risk and physical risk. The reach model is made by the theory of risk-avoid. We requested this survey to 5808 customers by panel and web site, received 559 replied. We used 528 questionnaires excluding unreliable data. For the analysis, smart PLS is used. Results: Psychological risk has influence on negative emotion and avoidance intension. Social risk and physical risk affected negative emotion, but did not directly affect avoidance intention. Economic risk affects avoidance intension, but it has no effect of negative emotion. The existence of Japanese products' substitute only effects the relationship of economic risk and avoidance intention. Conclusions: Korean consumers behavior their buying and using of Japan product as financial benefit and satisfaction, not only risk. It is suggested that Korean company should make and develop unique product with good price.

블루오션 전략을 활용한 강소기업의 신제품 개발이 경영성과에 미치는 영향에 관한 연구 - 식품제조업체를 중심으로 - (A Study on the Impact on Management Performance of Hidden Champions Using Blue Ocean Strategy to Develop a New Product - Focusing on Food Manufacturers -)

  • 김형일;신영재
    • 산업경영시스템학회지
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    • 제43권1호
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    • pp.42-49
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    • 2020
  • This study is an empirical research to find out the effect on the management performance of hidden champions of food manufacturing companies when using blue ocean strategy for new product development. In order to achieve the purpose of this study, we conducted a questionnaire survey on hidden champions in the domestic food manufacturing industry and proceeded empirical analysis. When small and medium-sized enterprises in food manufacturing industries develop a new product, searching for non-customer, rebuilding the market boundary, and linking the external networks have a significant impact on their management performance. However, the fair procedure did not have a significant effect on the management performance. In terms of relative influence, rebuilding the market boundary was most affecting, followed by searching for non-customer and linking the external networks. On the other hand, this study implicated the management performance of hidden champions of food manufacturing industries when new products is developed by using the blue ocean strategy. Obtained results are as follows. If small and medium-sized enterprises of food manufacturing industries develop new products, it will be able to improve the management performance by utilizing strategies such as searching for non-customer, rebuilding the market boundary, and linking the external networks. In particular, the rebuilding the market boundary among the blue ocean strategies has a relatively high impact on management performance.

Forecasting Using Interval Neural Networks: Application to Demand Forecasting

  • Kwon, Ki-Taek;Ishibuchi, Hisao;Tanaka, Hideo
    • 대한산업공학회지
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    • 제20권4호
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    • pp.135-149
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    • 1994
  • Demand forecasting is to estimate the demand of customers for products and services. Since the future is uncertain in nature, it is too difficult for us to predict exactly what will happen. Therefore, when the forecasting is performed upon the uncertain future, it is realistic to estimate the value of demand as an interval or a fuzzy number instead of a crisp number. In this paper, we propose a demand forecasting method using the standard back-propagation algorithm and then we extend the method to the case of interval inputs. Next, we demonstrate that the proposed method using the interval neural networks can represent the fuzziness of forecasting values as intervals. Last, we propose a demand forecasting method using the transformed input variables that can be obtained by taking account of the degree of influence between an input and an output.

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An Empirical Analysis of the Industrial Accident Factors Affecting Manufacturing Performance in Korea

  • Park, Hai Chun;Kim, Jong Rae
    • International Journal of Safety
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    • 제2권1호
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    • pp.45-49
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    • 2003
  • In this paper, we investigated the relationship between the variables of the industrial accident factors and the manufacturing performances such as production quantity, quality, cost, and delivery. For this investigation, we collected the real data from 30 small/medium-sized manufacturing industries by performing a questionnaire survey and a on-site inter-view with the workers. Thirty industries were made up of 10 from each of the following three industries: metal processing, machinery manufacturing, and chemical products manufacturing. The data analysis was made using SPSS PC+. Based on the result of the analysis, we came to the tentative conclusion that only two variables such as work skill and load affected all four manufacturing performances and the rest of them two or three performances.

기업의 노동생산성 향상을 위한 분석연구 (An Analytical Study for the Labor Productivity Improvement of Enterprise)

  • 김종래
    • 산업경영시스템학회지
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    • 제4권4호
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    • pp.35-42
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    • 1981
  • This paper grasped the labor productivity actual condition by the standard of per unit working hour and production about the main products of our country's industrial the main materials and could understand the average of our country's labor productivity as compared this with the labor productivity actual condition of Japan. As the point at issue of analitical result. 1. Low a matter of thinking about productivity. 2. Have a lot of difficult problem in an industrial part. 3. Have the point at issue on technical development and accumulation. 4. Have the point at issue on management. As a countermeasure about these. 1. must convert the way of use of industrial policy. 2. must make a housing development and special serialization of a small and medium enterprise. 3. must establish an organic technical development system. 4. must grope the policy of management rationalization.

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철강 코일제품 수송 팔레트의 설계 최적화 (On Optimal Design Methods for Steel Product Pallets)

  • 박종호;임경국;이정원
    • 대한산업공학회지
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    • 제34권4호
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    • pp.470-480
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    • 2008
  • Loading steel coil products on a specialized packing case called pallet can be represented as a bin-packing problem with the special constraint where objects should be loaded on designated positions of bins. In this paper, under assuming that there exist only two types of objects, we focus on finding the optimum number of positions in a bin which minimizes the number of bins needed for packing a collection of objects. Firstly, we propose a method to decide the number of positions and prove that the method is optimum. Finally, for the packing problem using bins designed by the method, we show that the well-known algorithm, First-Fit Decreasing(FFD), is the optimum algorithm.

성형충격 저감을 위한 프레스 구동기구에 관한 연구 (Study on the moving device of press machine for forming impact reduction)

  • 김정언;홍석관;김종덕;허영무;조종두;강정진
    • Design & Manufacturing
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    • 제2권4호
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    • pp.11-15
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    • 2008
  • In the sheet metal forming using a high speed press machine, driving device, such as crank, link, and knuckle mechanism, has to be designed in consideration of impact at a moment when press die contact with material, because the impact affects a dimensional accuracy of products and a life span of press die. In this study, dynamic analysis was performed using numerical simulation in order to verify the impact reduction effect for proposed double knuckle mechanism by estimating rolling and pitching moment of slide.

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PEDOT 기상중합 원단을 이용한 멀티 레이어 압력 센서 개발 (Development of Multi-layer Pressure Sensor using PEDOT Vapor Phase Polymerization)

  • 임승주;배종혁;장성진;임지영;박근혜;고재훈
    • 센서학회지
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    • 제27권3호
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    • pp.186-191
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    • 2018
  • Smart textile industries have been precipitously developed and extended to electronic textiles and wearable devices in recent years. In particular, owing to an increasingly aging society, the elderly healthcare field has been highlighted in the smart device industries, and pressure sensors can be utilized in various elderly healthcare products such as flooring, mattress, and vital-sign measuring devices. Furthermore, elderly healthcare products need to be more lightweight and flexible. To fulfill those needs, textile-based pressure sensors is considered to be an attractive solution. In this research, to apply a textile to the second layer using a pressure sensing device, a novel type of conductive textile was fabricated using vapor phase polymerization of poly(3,4-ethylenedioxythiophene) (PEDOT). Vapor phase polymerization is suitable for preparing the conductive textile because the reaction can be controlled simply under various conditions and does not need high-temperature processing. The morphology of the obtained PEDOT-conductive textile was observed through the Field Emission Scanning Electron Microscope (FESEM). Moreover, the resistance was measured using an ohmmeter and was confirmed to be adjustable to various resistance ranges depending on the concentration of the oxidant solution and polymerization conditions. A 3-layer 81-point multi-pressure sensor was fabricated using the PEDOT-conductive textile prepared herein. A 3D-viewer program was developed to evaluate the sensitivity and multi-pressure recognition of the textile-based multi-pressure sensor. Finally, we confirmed the possibility that PEDOT-conductive textiles could be utilized by pressure sensors.

식물유 기반 에스토라이드 합성 및 윤활 특성 (Synthesis and Lubricant Properties of Vegetable Oil based on Estolides)

  • 손정매;김남균;신지훈;정근우;윤병태;김영운
    • Tribology and Lubricants
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    • 제31권5호
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    • pp.195-204
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    • 2015
  • Several researches are focused on improving the value of fine chemicals based on biomass resources due to environmental and other concerns associated with the use of petroleum-based products. Therefore, the synthesis and application of estolides derived from plant-based waste oil materials and their application as lubricants and as processing oil for butyl rubber products have been studied. Four kinds of estolide were prepared with conversions of 71~92% over 24h using various vegetable oils, as determined by size exclusion chromatography (SEC) and nuclear magnetic resonance (NMR) spectroscopy. FT-IR spectroscopy determines the esterification of estolides using 2-ethylhexyl alcohol. The estolides have iodine values of 35~90, α-ester/α-acid ratios of 0.45~0.55, and total acid number of 114~134 mg KOH g–1. Four ball wear tests show that the wear scar diameters (WSDs) of estolides as base oil significantly decreased to 0.328~0.494 mm, compared to WSDs of 0.735 and 0.810 mm of WSD for 150N and Yubase 6, respectively, as general base oil. Thus, the estolides have better wear resistance and satisfying design objectives for the engineering of a variety of lubricant base oils.

식품가공소재용 꽃게의 화학적 및 미생물학적 위생 특성 (Chemical and Microbiological Properties on Sanitary of Swimming Crab Portunus trituberculatus as Sources for Seafood Products)

  • 강영미;박선영;이경돈;손재학;최재석;이정석;허민수;김진수
    • 한국수산과학회지
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    • 제50권3호
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    • pp.243-249
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    • 2017
  • Crabs are a popular seafood item. However, they can harbor many microorganisms, heavy metals, radioactivity, and benzo(a)pyrene, which are potential health risks to humans. The objective of this study was to assess the potential of swimming crabs for use in foods such as Ganjang-gejang, by measuring their sanitary biological and chemical properties. Viable microbial cell counts in swimming crab samples were $3.4{\times}10^2-6.7{\times}10^4CFU/g$, but no coliform, Escherichia coli, or pathogenic bacteria, such as Vibrio parahaemolyticus, Enterohemorrhagic E. coli, Listeria monocytogenes, Staphylococcus aureus, or Salmonella spp., were detected. Heavy metal concentrations in swimming crab samples were non-detectable to 0.112 mg/kg for total mercury, non-detectable to 0.435 mg/kg for lead, and 0.115-0.836 mg/kg for cadmium. Benzo(a)pyrene concentrations ranged from $0.025-0.060{\mu}g/kg$, and the volatile basic nitrogen content ranged from 8.7-15.6 mg/100 g. No radioactivity was detected in samples. These results suggest that swimming crabs are viable for use in seafood products.