Much emphasis is now being given to research and development of plant factories which daily produce a large volume of highquality vegetables under artificially controlled environments. One of the important issues to be considered for the management and the daily operations of the plant factories is to find a set of suitable customers and/or markets to which the daily produced vegetables are sold and delivered. The current wholesale markets of the vegetables are not suitable for trading the high-quality vegetables produced by the plant factories, therefore, a new market is required to sell and to buy the products made by the plant factories. A new trading market system is proposed, to sell and to buy the lettuces supplied by the plant factories, based on the stock exchange mechanisms, in this paper. An estimation method of yield rate is also proposed to generate a suitable volume of sales for the plant factories. Some case studies have been carried out to verify the effectiveness of the proposed trading market.
Plant factories daily produce large amount of high quality vegetables under artificially controlled environments. One of the important issues to be considered is to establish suitable storage systems to achieve an acceptable length of shelf life and to minimize the risk to foodborne illnesses. This study deals with the application of the supercooling technologies (cooling below the freezing point without phase change) to the extension of the shelf life of the high quality leaf lettuces produced by the plant factories. The followings were found through the experimental study. The freezing temperature of the leaf lettuces of the plant factories is around -0.2℃ and the nucleation temperature of the leaf lettuces is between -1.0℃ and -6.1℃ . The type of packages affects the characteristics of the supercooled lettuce by controlling the cooling rates and to reduce the risk of being frozen in the supercooled state. It was also shown that the lettuces under supercooled conditions keep the initial state of the water and sugar contents by reducing the respiration rate, and that the risk of foodborne illness is improved by keeping the number of the bacteria in low level even after the supercooled storages for three weeks. Thinh NGUYEN QUANG, Koji IWAMURA, Rajesh SHRESTHA, Nobuhiro SUGIMURA 26 © 2017 Japan Society for Food Engineering and the effects of the supercooled storage in leaf lettuces, and(3) To compare the supercooled preser vation method and the conventional preservation method for the long term storages.
This study examines and applies the three statistical value at risk models including variance-covariance, historical simulation, and Monte Carlo simulation in measuring market risk of VN-30 portfolio of Ho Chi Minh stock exchange (HOSE) in Vietnam stock market and some back-testing techniques in assessing the validity of the VaR performance in the timeframe of January 30, 2012–February 26, 2016. The models are constructed from two volatility methods of stock price: SMA and EWMA throughout the five chosen confi-dence level: 90%, 93%, 95%, 97.5%, and 99%. The findings of the study show that the differences among the results of three models are not significant. Additionally, three VaR (Value at Risk) models have generally the similar accepted range assessed in both types of back-tests at all confidence levels considered and at the 97.5% con-fidence level. They can work best to achieve the highest validity level of results in satisfying both conditional and unconditional back-tests. The Monte Carlo Simulation (MCS) has been considered the most appropriate method to apply in the context of VN-30 port-folio due to its flexibility in distribution simulation. Recommenda-tions for further research and investigations are provided according-ly.
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