• 한국수산과학회지
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• 제47권5호
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• pp.545-555
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• 2014

To develop Korean-style cut noodles with enhanced protein and calcium levels, we manipulated the ratio of dried anchovy Engraulis japonicus soup base residue powder to wheat flour, using a response surface methodology based on trained panel trials to determine the optimum ratio. Texture analysis and nutritional evaluation were also performed on cut noodles containing dried anchovy soup base residue (CNAR). Higher umami taste and springiness, and lower fishy flavor were strongly correlated with overall acceptability. The optimal CNAR formulation consisted of wheat flour (96.02 g), anchovy residue powder (2.67 g), and water (50.64 mL). CNAR had lower gumminess and adhesiveness (P<0.001), but higher springiness, cohesiveness (P<0.001), and chewiness (P<0.05), than the control (original wheat flour cut noodles). The addition of anchovy soup base residue elevated protein, lipid, and ash levels relative to the control. Color values decreased with increasing residue powder content. In vitro protein and starch digestibility of CNAR were lower than in the control (P<0.001). CNAR yielded significantly higher total free amino acid content than the control (P<0.01), leading to CNAR's improved palatability. Dried anchovy soup base residue can be used in wheat flour cut noodles to improve nutrition, sensory acceptability, and profitability.

• 한국가금학회지
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• 제25권2호
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• pp.91-98
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• 1998

In order to compare economics of soybean meals (SBMS) imported from Brazil and the U.S., a feeding trial was conducted with 480 commercial broiler chicks (Abor Acres strain) for 38 days. The Brazilian SBM was brownish in color and the protein solubility in 0.2 % KOH solution was 63. 4 %. The U.S. SBM, on the other hand, was a dehulled SBM, and uniform in color (light yellow) and particle size. The protein solubility value of the latter was 76.6 %. Two dietary protein levels (19 % and 21 %) were used for each source of SBM (2x2 factorial). Chicks fed diets containing the U.S. SBM grew significantly faster (P<0.05) and utilized feed more efficiently than chicks fed diets containing Brazilian SBM. Chicks fed diets containing 21 % CP showed better growth performance and profitability than those fed the 19 % CP diets. The price of the U.S. SBM was higher but the feed cost per unit gain was lower than the Brazilian SBM. Results suggest that there are over-cooked SBMs being traded on the Korean rnarket, and attention should be given to not only the price but also the quality of SBMs.

• 한국관광식음료학회지:관광식음료경영연구
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• 제15권2호
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• pp.1-22
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• 2004

This study was intended to analysis about quantity and quality aspects of speciality coffee industry in korea. All date was analysed by statistics package program spss 10.0. All market of coffee In korea, the market share of speciailty coffee have been maintained about 10 percent since it was analysed statically about coffee market in korea. The rest market is soluble coffee market. But by comparison with developed country case, korea's coffee market is being unbalanced between soluble coffee and speciality coffee market. This study was analyze actual consumer's consulnption styles of the speciality coffee as well as its industry. According to the qualitative analysis results from peter's model was analysed that made a high growth potentiality and profitability in the future. According to the quantitative analysis results, sampling unit's 87.6 percent made a recognize about the speciality coffee. Sensory evaluation results was researched that factors impacted on the overall speciality coffee quality was shown a significant diffrrence on the two dimension such as the body factor, acidity factor. This study has limit which can not represent overall recognition because of analysis based on limited data. It is thought that steady study should be continued hereafter through more systematic and reliable study method.

• 한국조리학회지
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• 제14권1호
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• pp.21-38
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• 2008

This research aimed to analyze the differences in financial variables classifying chain restaurants. A total of 126 samples were drawn from financial statements for $2001{\sim}2006$. As a result of analysis, there was a significant difference in Pillai's Trace, Wilks' Lambda, Hotelling's Trace, and Roy's Largest Root values at the significant probability value(p<0.05) based on F value in terms of stability among chain restaurants. Difference was found only in current rate and liabilities in ANOVA. There was a great difference in current rate among institutional restaurants, fast food restaurants, and cafeterias. There was a significant difference in Pillai's Trace, Wilks' Lambda, Hotelling's Trace, and Roy's Largest Root values at the significant probability value(p<0.05) based on F value in terms of restaurants' profitability. In ANOVA, difference was found only in net profits to net sales. It was revealed that all factors showed no significant differences in multiple comparison. All multi-variant test statistics showed a significant difference in growth and turnover. ANOVA showed a significant difference in net sales growth rate, net profit growth rate, and total assets growth rate.

• 산업경영시스템학회지
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• 제34권3호
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• pp.134-146
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• 2011

This paper suggests the product supply process model based on the store and production capacity, assortment planning and quick response for fast fashion retailers with BPMN. In the fast fashion industry, the standardized business process model is required to respond quickly market trends and customer requirements based on the quantitative and qualitative criteria. Thus we define the product supply processes which incorporate forecasting and assortment plan, cost and profitability of the production, store capacity based on the visual merchandising, and production capacity of the fast fashion retailers. Also we design the key performance indicators to evaluate the effectiveness of these product supply processes. The product supply process model for the fast fashion has great significance in embracing the fast fashion product development process because it presents the holistic view of the product supply process of the fast fashion and provides a performance evaluation mechanism. A case study shows that adopting the processes, a Korean fast fashion company achieves improvement in various performance indicators.

• 한국안전학회지
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• 제17권4호
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• pp.110-118
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• 2002

During the last ten years, the need has been increase for reducing maintenance cost for aged equipments are ensuring safety, efficiency and profitability of petrochemical and refinery plants. American Petroleum institute(API) developed a code, API 581 for proposing standard procedures of risk based inspection. Even though the API 581 code covers general RBI procedures, there must be some limitations. In this study, a semi-quantitative assessment algorithm for RBI based on the API 581 code was reconstructed for developing an RBI software. The user-friendly realRBI software is developed with a module for evaluation semi-quantitative risk category using the potential consequence factor and the likelihood factor. Also, inspection planning module for inspection time and inspection method for equipments are included.

• International Journal of Railway
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• 제2권1호
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• pp.1-7
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• 2009

The development of structural solutions for high-speed or very high-speed tracks that minimize total life cycle costs of the system is a key issue to improve the operational profitability of new investments. In opposition to conventional ballasted tracks, slab track solutions can be a cost-effective solution, but only in the cases where the benefits due to the increase in track availability and the reduction of track maintenance offsets its much higher construction costs. In the cases where such investment is not feasible, it is worth to evaluate possible structural improvements to ballasted track that allow reducing its maintenance needs without increasing too much its construction costs. This paper evaluates the design requirements and the impact of improving conventional high-speed ballasted tracks by using a bituminous subballast layer. It is divided into two main parts: first the design requirements of the structural solutions with bituminous subballast and its possible benefits on high-speed track deterioration, and secondly the evaluation of the economic impact, in terms of construction costs, of using this structural solution material in future Spanish high-speed lines.

• International journal of advanced smart convergence
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• 제10권2호
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• pp.158-167
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• 2021

Fishery industry is an important part of agricultural industry in coastal countries. The purpose of this study is to use the theory of industrial competitiveness for reference, use Analytic Hierarchy Process (AHP) and Delphi method to establish the evaluation index system, and analyze the fishery industry competitiveness of 11 coastal provinces in China. This study data came from China Fishery Statistical Yearbook 2020. The results show that Shandong Province is the most competitive province in fishery industry among the coastal provinces. The inter-provincial differences are great. Not only the resource endowment is the factor that affects the fishery industry competitiveness, but also the long-term profitability is too. The proportion of recreational fishery in the fishery economic output value has become one of the main indicators to measure the competitiveness of the fishery industry. The findings of this study suggest that all regions should adopt measures in accordance with local conditions, promote the integrated development of the fishery industry, enhance the added value of fishery products and enhance the competitiveness of fishery industry. The disadvantage of this study is that the fishery industry competitiveness of China's coastal provinces is only compared and analyzed. The future direction is to carry out a comparative study on the international competitiveness of fishery with other east Asian countries.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.305-316
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• 2021

The objective is to recognize the better opportunities from targeted reveal advertising, to show a banner ad to the consumer of online who is most expected to obtain a preferred action like signing up for a newsletter or buying a product. Discovering the most excellent commercial impression, it means the chance to exhibit an advertisement to a consumer needs the capability to calculate the probability that the consumer who perceives the advertisement on the users browser will acquire an accomplishment, that is the consumer will convert. On the other hand, conversion possibility assessment is a demanding process since there is tremendous data growth across different information dimensions and the adaptation event occurs infrequently. Retailers and manufacturers extensively employ the retail services from internet as part of a multichannel distribution and promotion strategy. The rate at which web site visitors transfer to consumers is low for online retail, out coming in high customer acquisition expenses. Approximately 96 percent of web site users concluded exclusive of no shopper purchase[1].This category of conversion rate is collected from the advertising of social media sites and pages that dataset must be estimating and assessing with the concept of big data clustering, which is used to group the particular age group of people along with their behavior. This makes to identify the proper consumer of the production which leads to improve the profitability of the concern.

• Corrosion Science and Technology
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• 제23권2호
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• pp.131-138
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• 2024

This paper introduces Primetals Technologies' Through-Process Optimization (TPO) Services and Through-Process Quality Control (TPQC) System, which integrate domain knowledge, software, and automation expertise to assist steel producers in achieving operational excellence. TPQC collects high-resolution process and product data from the entire production route, providing visualizations and facilitating quality assurance. It also enables the application of artificial intelligence techniques to optimize processes, accelerate steel grade development, and enhance product quality. The main objective of TPO is to grow and digitize operational know-how, increase profitability, and better meet customer needs. The paper describes the contribution of these systems to achieving operational excellence, with a focus on quality assurance. Transparent and traceable production data is used for manual and automatic quality evaluation, resulting in product quality status and guiding the product disposition process. Deviation management is supported by rule-based and AI-based assistants, along with monitoring, alarming, and reporting functions ensuring early recognition of deviations. Embedded root cause proposals and their corrective and compensatory actions facilitate decision support to maintain product quality. Quality indicators and predictive quality models further enhance the efficiency of the quality assurance process. Utilizing the quality assurance software package, TPQC acts as a "one-truth" platform for product quality key players.