• Journal of Korean Institute of Industrial Engineers
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• v.22 no.3
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• pp.473-483
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• 1996

For situations where there are several markets with different price/cost structures, economic complete inspection plans are developed for determining the market to ship the product to. Two complete inspection plans are considered; the plan based on the performance variable of interest, and the plan based on a variable which is correlated with the performance variable. Profit models are constructed which involve selling price, cost incurred by imperfect quality, and quality inspection cost. Methods of finding the optimal complete inspection plans are presented and a numerical example is given.

• International Journal of Contents
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• v.17 no.2
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• pp.1-8
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• 2021

Online streaming wars are intensifying. Netflix is known as the market leader in the streaming business. However, since 2019, Netflix has been losing subscribers in the United States and is at a turning point where it needs to reassess its current position in the market. While Netflix is losing dominance, rivals Amazon Prime and Hulu continue to gain market shares. Studies from Deloitte and PricewaterhouseCoopers indicated a new shift in the streaming landscape caused by the abundance of streaming options and rising subscription costs. Recent surveys showed that consumers are excited about new streaming services, such as Disney +. Nearly two-thirds of consumers intend to terminate or downgrade one or more of their current subscriptions to make room for a new service. Moreover, it seems that consumers want ad-supported options. In Deloitte's latest Digital Media Trends survey, 65% responded that they would watch ads to eliminate or reduce subscription costs. Seventy percent of Hulu's subscribers choose its lower-priced ad-supported plan. NBC recently launched its own streaming service, Peacock, with a free ad-supported option. This opposes Netflix's brand identity of "no ads" and premium differentiation. With increasing pressure from competition and the growing risk of subscriber loss, Netflix needs to diversify its price plans. The company could try implementing the lower-priced mobile-only plan they are currently testing or plan to test in other regions. Netflix should also consider features or benefits for loyal subscribers to maintain a stronger consumer base.

• Journal of Embryo Transfer
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• v.31 no.3
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• pp.267-272
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• 2016

Wholesale beef price is the critical factor for determining Korean native cattle, Hanwoo, farm's income in short-term. Wholesale beef price has seasonality due to high demand in Korean traditional holidays such as Korean thanksgiving day and lunar new year's day. Therefore, it is important to make reproduction and marketing plans for Korean Hanwoo farmers, in order to increase their farm income. However, there is no study available on changes in the expected farm income depending on reproduction and marketing schedules. This study analyzed the expected farm income per head depending on the monthly-based marketing schedules. The analysis was conducted based on the seasonality of wholesale beef price, reproduction efficiency, operating costs, relationship between carcass grade and slaughter age. The result shows that slaughter Hanwoo at the age of 29 months-old in August and January generating the highest expected farm income per head.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3923-3942
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• 2022

Environment, price, regulation, and other factors influence the price of agricultural products, which is a social signal of product supply and demand. The price of many agricultural products fluctuates greatly due to the asymmetry between production and marketing details. Horticultural goods are particularly price sensitive because they cannot be stored for long periods of time. It is very important and helpful to forecast the price of horticultural products which is crucial in designing a cropping plan. The proposed method guides the farmers in agricultural product production and harvesting plans. Farmers can benefit from long-term forecasting since it helps them plan their planting and harvesting schedules. Customers can also profit from daily average price estimates for the short term. This paper study the time series models such as ARIMA, SARIMA, and neural network models such as BPN, LSTM and are used for wheat cost prediction in India. A large scale available data set is collected and tested. The results shows that since ARIMA and SARIMA models are well suited for small-scale, continuous, and periodic data, the BPN and LSTM provide more accurate and faster results for predicting well weekly and monthly trends of price fluctuation.

• Journal of the East Asian Society of Dietary Life
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• v.26 no.2
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• pp.117-124
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• 2016

As the number of cafeterias at universities has increased, studies on student perception of price sensitivity at cafeterias have gained increased attention. Therefore, the study investigated the relationship between students and university cafeterias according to price sensitivity measurement (PSM). According to the analysis, the indifference price (IDP) was 3,444.06 Korean Won while the subsequent cumulative distribution percentage was approximately 17.68%. The optimal pricing point (OPP) was 3,233.73 Korean Won and the stress price (IDP-OPP) was 210.33 Korean Won. The point of marginal expensiveness (PME) was 4,602.24 Koean Won and the point of marginal cheapness (PMC) was 2,036.29 Korean Won. Therefore, the range of acceptable prices (RAP) was established as 2,565.95 Korean Won. In addition, the study examined differences between price sensitivity measurement (PSM) for the respondent subgroups. Hence, the results will provide a practical background for development of business plans for university cafeterias.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.1
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• pp.30-45
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• 2013

Predicting monthly electricity price has been a significant factor of decision-making for plant resource management, fuel purchase plan, plans to plant, operating plan budget, and so on. In this paper, we propose a sophisticated prediction model in terms of the technique of modeling and the variety of the collected variables. The proposed model hybridizes the semi-supervised learning and the artificial neural network algorithms. The former is the most recent and a spotlighted algorithm in data mining and machine learning fields, and the latter is known as one of the well-established algorithms in the fields. Diverse economic/financial indexes such as the crude oil prices, LNG prices, exchange rates, composite indexes of representative global stock markets, etc. are collected and used for the semi-supervised learning which predicts the up-down movement of the price. Whereas various climatic indexes such as temperature, rainfall, sunlight, air pressure, etc, are used for the artificial neural network which predicts the real-values of the price. The resulting values are hybridized in the proposed model. The excellency of the model was empirically verified with the monthly data of electricity price provided by the Korea Energy Economics Institute.

• Journal of the Korean Home Economics Association
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• v.29 no.3
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• pp.35-45
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• 1991

This study was to calculate the minimum food expenditure by using OR linear program, and to determine the food plans for different income values based on the recommenced dietary allowances(RDA) for Koreans. VAX 11/780 system was used in this study. There were 6 family models-single man, single woman, married couple, couple with one child, couple with 2 children and couple with 2 children & grandmother. The market price quoted in this study was from July 1989 to June 1990 and the data file was made from RDA & food composition tables. After the minimum food expenditure was calculated from the computer, the low cost food plan was set. From the low cost food plan, we set the moderate cost food plan 25% above the low cost and the liberal food plan 50% above the low cost. One week menu was planned for different food plans. The low cost food plan could be used not only at the institutional levels and at home but also used at the national food policy making for scientific budget planning and for nutritionally well balanced diet. These food plans could control the use of time and efforts, too.

• Korean Journal of Agricultural Science
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• v.43 no.1
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• pp.136-143
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• 2016

Garlic and onion are staple agricultural products to Koreans and also are important with regard to agricultural producers' income. These products' acreage responses are highly correlated with each other. Therefore, it is necessary to test whether there is a cointegration relationship between garlic acreage and onion acreage when one tries to estimate the acreage response's function. Based upon the test result of cointegration, it is confirmed that there is no statistically significant cointegration relationship between garlic acreage and onion acreage. In this case, vector autoregressive model is preferred to vector error correction model. This study investigated the dynamic relationship between garlic and onion acreage responses using vector autoregressive (VAR) model. The estimated results of VAR acreage response models show that there is a statistically significant relationship between current and lagged acreage of more than one lag. Therefore, it is recommended that government should consider the long-run period's relationship of each product's acreage when it plans a policy for stabilizing the supply and demand of garlic and onion. For the price variables, garlic price only affects garlic acreage response while onion price affects not only onion acreage response but also garlic acreage response. This implies that the stabilizing policy for onion price could have bigger effects than that for garlic price stabilization.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.13-22
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• 2016

Remodeling of multi-family house (MFH) has emerged as a major issue in the construction industry. Many decision-makers are struggling to determine whether to conduct a remodeling because of insufficient information including standard or method for projecting the price of their facilities after remodeling works. In this context, this research has conducted for analyzing how the price of the MFH is shifted by remodeling works. To achieve this research goal, (i) fourteen MFH remodeling cases were collected and (ii) price variation for the collected cases was analyzed in order to figure out how remodeling work affects the price of MFH cases. Finally, this research suggested the factors determining price of the MFH, wherein remodeling work has been conducted. From the results of this research, it is expected that the decision-makers can understand what is the crucial factors for determining the price of their MFH when they plans remodeling, and further this research can be a corner stone for developing a model for predicting the price of MFH if remodeling would be performed.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.704-709
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• 2007

The purpose of this study is to present both problems and improvement plans on the bidding system of the Korea National Housing Corporation, which orders apartment houses professionally. For data gathering, this study used data from electronic procurement system from 2001 to 2005. The research method of this study is to analyze the data categorized into four types: changes of ordering and contract price ration, the lowest-pricing bidding system, and permanent projects by grades. As a result of the analysis, the amount of ordering is biased in favor of particular level. Finally, this study present following improvement plans: 1) screening system and the lowest-pricing bidding system need to be supplemented, 2) the contract price ratio and the amount of ordering should be controlled, and 3) the improvement of PQ and the introduction of the list of Qualified companies by types need to be presented.