• Title/Summary/Keyword: Price fluctuation

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Trend Analysis of the Prices and Numbers of Azalea Cultivars for Landscaping in Korea (국내 조경용 철쭉류의 가격 및 종수 추이분석)

  • Choi, Jae-Jin;Park, Seok-Gon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.4
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    • pp.30-36
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    • 2014
  • This study was conducted to determine the causes of unreasonable prices and small numbers of azalea cultivars by analyzing the price trends and the number of azalea cultivars announced over the last 25 years based on data from the Public Procurement Service(PPS), Korea Price Research Center and the Landscaping Tree Association(LTA)(hereinafter, officially announcing agencies and organizations) which are major references used when landscape planting is decided. The prices of azalea cultivars announced by the official announcing agencies and organizations have moved in similar patterns over the past 25 years because the prices of azalea cultivars announced by the LTA were referred to by other official announcing agencies and organizations when they officially announced the prices of azalea cultivars. The PPS set lower officially fixed prices of azalea cultivars compared to other official announcing agencies and organizations, and the reason for this is considered to be the intention of the PPS to suppress landscape tree price increases because of the government's policies to suppress price increases. The prices of azalea cultivars seem to change rapidly due to the imbalance between the demand and supply of azalea cultivars rather than the effects of consumer price fluctuation rates because the production periods of azalea cultivars are shorter when compared to other landscape trees. The prices of azalea cultivars from the official announcing agencies and organizations have been set higher than the prices in actual transactions. The reason for this is considered to be the intention of the official announcing agencies and organizations to allow landscaping companies to cover defect costs resulting from the practice of subcontracting planting work and secure profits of subcontractors for planting work. The official announcing agencies and organizations have simply announced prices of 5~8 main azalea cultivars that have been used in the past. The names of azalea cultivars being cultivated and criteria for classification have not been clear; thus, landscape designers have not written clear names of azalea cultivars to be cultivated on planting drawings as practice and landscapers planted those azalea cultivars which could be easily obtained. Therefore, it is assumed that there has been no demand for new azalea cultivars. Thus, the vicious circle in which the prices of only those azalea cultivars that were produced in the past have been announced is repeated.

A Study on Flight inspection cost analysis and Proper commissions calculator (비행검사용 항공기 수수료 분석 및 적정 수수료 산정에 관한 연구)

  • Kim, Woong-Yi;Choi, Youn-Chul
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.20 no.4
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    • pp.126-131
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    • 2012
  • In South Korea, there is no consideration for increasing labor costs and price fluctuation regarding the commission for a flight inspection. Because this causes a deficit in the flight inspection related operation, the cost system should be improved. Therefore, this research considers the first cost analysis in order to calculate a proper flight inspection commission through three different types of cost making methods. Moreover, as flight inspections are held by flights and human labors, labor costs are included as the main operation cost. According to the research, it is analyzed that the total cost to process flight inspection operations is decided by the scope of aircraft operation.

Risk-averse Inventory Model under Fluctuating Purchase Prices (구매가격 변동시 위험을 고려한 재고모형)

  • Yoo, Seuck-Cheun;Park, Chan-Kyoo;Jung, Uk
    • Journal of the Korean Operations Research and Management Science Society
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    • v.35 no.4
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    • pp.33-53
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    • 2010
  • When purchase prices of a raw material fluctuate over time, the total purchasing cost is mainly affected by reordering time. Existing researches focus on deciding the right time when the demand for each period is replenished at the lowest cost. However, the decision is based on expected future prices which usually turn out to include some error. This discrepancy between expected prices and actual prices deteriorates the performance of inventory models dealing with fluctuating purchase prices. In this paper, we propose a new inventory model which incorporates not only cost but also risk into making up a replenishment schedule to meet each period's demand. For each replenishment schedule, the risk is defined to be the variance of its total cost. By introducing the risk into the objective function, the variability of the total cost can be mitigated, and eventually more stable replenishment schedule will be obtained. According to experimental results from crude oil inventory management, the proposed model showed better performance over other models in respect of variability and cost.

Tree-Structured Nonlinear Regression

  • Chang, Young-Jae;Kim, Hyeon-Soo
    • The Korean Journal of Applied Statistics
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    • v.24 no.5
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    • pp.759-768
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    • 2011
  • Tree algorithms have been widely developed for regression problems. One of the good features of a regression tree is the flexibility of fitting because it can correctly capture the nonlinearity of data well. Especially, data with sudden structural breaks such as the price of oil and exchange rates could be fitted well with a simple mixture of a few piecewise linear regression models. Now that split points are determined by chi-squared statistics related with residuals from fitting piecewise linear models and the split variable is chosen by an objective criterion, we can get a quite reasonable fitting result which goes in line with the visual interpretation of data. The piecewise linear regression by a regression tree can be used as a good fitting method, and can be applied to a dataset with much fluctuation.

Simulation of Autonomous Electric Power Market

  • Tezuka, Tetsuo;Kohda, Norio
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.340-345
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    • 2001
  • Electric power market in Japan is now on the trend of deregulation and privatization just like in Europe and the United States. And various approaches for risk management have been investigated taking the electric power price fluctuation after the deregulation into account. The behavior of the investment in power generation plants has not, however, been studied in detail yet due to the complexity of the problem. The problem of the investment in the deregulated power market is that of autonomous decentralized decision-making system, which includes various kinds of decision-makers, that is, power producers called IPPS Each generator has its own criteria for plant investment. Therefore, the total behavior of the decentralized power market will be so complicated, and normative approach will not be applicable fur this analysis. We have developed a simulation-based system fur behavioral analysis and also the framework design of the decentralized power market.

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FORECASTING OF FINANCIAL TIME SERIES BY A DIGITAL FILTER AND A NEURAL NETWORK

  • Saito, Susumu;Kanda, Shintaro
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.313-317
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    • 2001
  • The approach to predict time series without neglecting the fluctuation in a short period is tried by using a digital FIR filter and a neural network. The differential waveform of the Nikkei average closing price is filtered by the FIR band-pass filter of 101 length. It is filtered into the five frequency bands of 0-1Hz, 1-2Hz, 2-3Hz, 3-4Hz and 4-5Hz by setting the sampling frequency 10Hz. The each filtered waveform is learned and forecasted by the neural network. The neural network of the back propagation method is adopted in the learning the waveform. By inputting the data of 20 days in the past, the prediction of 10 days ahead is carried out. After learning the time series of each frequency band by the neural network, the predicted data far each frequency band are obtained. The predicted waveforms of each frequency band are synthesized to obtain a final forecast. The waveform can be forecasted well as a whole.

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Fuel Cost Analysis of CANDU-PHWR Wolsung Nuclear Power Plant Unit 1

  • Lee, Ik-Hwan;Lee, Chang-Kun;Yang, Chang-Guk;Yook, Chong-Chul
    • Nuclear Engineering and Technology
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    • v.9 no.3
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    • pp.151-163
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    • 1977
  • Being based on the Segal method, calculation was carried out for the natural uranium nuclear fuel cost with Zircaloy-4 cladding having design Parameters of Wolsung Nuclear Power Plant, CANDU-PHWR (Unit 1) , currently under construction in Korea aiming at its completion in 1982. An attempt was also made for tile sensitivity analysis of each fuel component; j. e., depreciation of fuel manufacturing plant caused by its life time, its load factor, production scale expansion of plant facilities, variations of construction and operating costs of fuel manufacturing plant, fluctuation of interest rates, extent of uranium ore price increases and effect of learning factor.

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Current Status and Developmental Strategy for the Flower Industry in Chungnam Region (충남 화훼산업의 현황과 발전방향)

  • Kwon, Yong-Dae
    • Korean Journal of Agricultural Science
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    • v.29 no.1
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    • pp.84-98
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    • 2002
  • Rank of Chungnam's flower industry in Korea is sixth in the number of flower fanning household and fifth in the flower cultivating land size in 2000. However, based on the SWOT analysis of Chungnam's agro-environmental factors influencing flower growing, it is noted that further shift of the regional flower industry up to 2nd highest rank nationally can be demonstrated. Strategies for achieving such targets are suggested as follows ; 1) specializing in flower varieties with regional comparative advantage, such as orchids, lily and rose, 2) establishing the educational system for farmers to manage the risks of market price fluctuation, flower cultivation and agricultural finance properly, 3) enlarging the investments in R&D and research facilities 4) assigning the efficient function and communication among the local government, farmers and agricultural marketeers so as to increase the flower exportation.

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The Field Test of bankfiltration(including alluvial and riverbed deposits) Source Heat Pump Cooling & Heating System (강변여과수(충적층 및 하상)를 이용한 열펌프 냉난방시스템의 실증연구)

  • Hwang, Ki-Sup;Jung, Woo-Sung;Ahn, Young-Sub
    • Proceedings of the SAREK Conference
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    • 2006.06a
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    • pp.1186-1190
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    • 2006
  • Rising in important of alternative energy due to the recenfly high oil price and environment problem. Application of alternative energy has become higher than before. In this study, facility test of Geothermal energy to bankfiltration was examined appliying changwon pumping well. Initial installation cost was efficiently saved by connecting a heat pump system to pumping well in changwon bankfiltration site. A falling-off in efficiency of heat pump was free due to the bankfiltration that is rare for the temperature fluctuation. Therefore, Heat soure as bankfiltration system solve the existing facilities problems of geothermal heat pump system.

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History of Korean Starch Industry (한국의 녹말 산업 발달사)

  • Park, Yeon-Sung
    • Food Science and Industry
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    • v.51 no.1
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    • pp.45-60
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    • 2018
  • The starch industry in Korea had been based on sweet potato and potato for long time to produce starches which were used for mainly starch noodle such as cellophane noodle. Because of the poor storage stability, high price, and fluctuation of production by year and year of potatoes, the raw material for the production of starch had been changed to corn in 1970s. Along with this, the mass production system had been established, which enabled the production of various starch-related products including modified starches for food, textile, paper, and other industrial uses, starch sweetners, high fructose corn syrup, and gelatinized starch. In this paper, a brief background of corn industry in Korea has been described. The production of starch from corn has been emphasized and the future of corn industry in relation with GMO has been suggested.