• Title/Summary/Keyword: logistic industry

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Growth curve estimates for wither height, hip height, and body length of Hanwoo steers (Bos taurus coreanae)

  • Park, Hu-Rak;Eum, Seung-Hoon;Roh, Seung-Hee;Sun, Du-Won;Seo, Jakyeom;Cho, Seong-Keun;Lee, Jung-Gyu;Kim, Byeong-Woo
    • Korean Journal of Agricultural Science
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    • v.44 no.3
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    • pp.384-391
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    • 2017
  • Growth curves in Hanwoo steers were estimated by Gompertz, Von Bertalanffy, Logistic, and Brody nonlinear models using growth data collected by the Hanwoo Improvement Center from a total of 6,973 Hanwoo (Bos taurus coreanae) steers 6 to 24 months old that were born between 1996 and 2015. The data included three parameters: A, mature size of body measurement; b, growth ratio; and, k, intrinsic growth rate. Nonlinear regression equations for wither height according to Gompertz, Von Bertalanffy, Logistic, and Brody models were $Y_t=144.7e^{-0.5869e^{-0.00301t}}$, $Y_t=145.3(1-0.1816e^{-0.00284t})^3$, $Y_t=143.1(1+0.7356e^{-0.00352t})^{-1}$, and $Y_t=146.8(1+0.4700e^{-0.00249t})^1$, respectively, while those for hip height were $Y_t=144.5e^{-0.5549e^{-0.00312t}}$, $Y_t=145.0(1-0.1724e^{-0.00295t})^3$, $Y_t=143.1(1+0.6863e^{-0.00360t})^{-1}$, and $Y_t=146.2(1+0.4501e^{-0.00263t})^1$, respectively. Equations for body length $Y_t=174.1e^{-0.8342e^{-0.00289t}}$, $Y_t=175.8(1-0.2500e^{-0.00265t})^3$, $Y_t=170.0(1+1.1548e^{-0.00363t})^{-1}$, and $Y_t=180.3(1+0.6077e^{-0.00215t})^1$, respectively, for the same models. Among the four models, the Brody model resulted in the lowest mean square error, with mean square errors of 31.79, 30.57, and 42.13, respectively, for wither height, hip height, and body length. Also, an estimated birth wither height, birth hip height, and birth body length (77.98, 80.57, and 70.97 cm, respectively) were lower in the Brody model than in other models. An inflection point was not observed during the growth phase of Hanwoo steer according to the growth curves calculated using Gompertz, Von Bertalanffy, and Logistic models. Based on the results, we concluded that the regression equation using the Brody model was the most appropriate among the four growth models. To obtain more accurate parameters, however, using data from a wider production period (from birth to shipping) would be required, and the development of a suitable model for body conformation traits would be needed.

The Effect of Reverse Logistics with Simulation Method -An Example from the Automotive Industry- (시뮬레이선 방법론을 통한 Reverse Logistics의 도입 효과분석 -자동차 산업을 중심으로-)

  • Lim, Jae-Sung;Kim, Kyung-Sup;Jeong, Suk-Jae
    • Journal of the Korea Society for Simulation
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    • v.15 no.2
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    • pp.13-21
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    • 2006
  • Due to the exhaustion of resources and increasing concerns about the environment, reverse logistics has become a critical issue in recent years. We discuss the conventional logistics operations and the reverse logistics operations in the automotive industry. The traditional supply chain (TSC) and the reverse supply chain (RSC) models are developed to compare performance between two systems. In addition, results of the simulation models are discussed in respect to total costs, inventory levels and stock-outs to analyze the effects of introducing of reverse logistics system.

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Influencing Factors on Work-related Musculoskeletal Disorders of Women Workers (제조업 여성근로자의 근골격계 증상에 영향을 미치는 요인)

  • Kim, Souk-Young;Kim, Hee-Jeong;Jeon, Hong-Jin
    • Korean Journal of Occupational Health Nursing
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    • v.14 no.1
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    • pp.5-15
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    • 2005
  • Purpose: The purpose of this study are to identify the influencing factors on work-related musculoskeletal disorders of women workers. Method: Data were collected by questionnaires from 616 women workers from in such industries as electronics, food product, garment product and analyzed using descriptive statistics, multiple logistic regression. Result: As its result, 71.3% of female manufacturing workers had musculoskeletal symptom. When Multiple logistic regression analysis on factors relating to musculoskeletal symptoms was carried out, age, work posture, job demand, type of industry, working hour, type of work, family support were statistically significant variables. Conclusion: In conclusion, this study identifies that age, work posture, job demand, type of industry, working hour, type of work, family support are important factors affecting WMSDs.

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A Segmented Model with Upside-Down Bathtub Shaped Failure Intensity (Upside-Down 욕조 곡선 형태의 고장 강도를 가지는 세분화 모형)

  • Park, Woo-Jae;Kim, Sang-Boo
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.6_2
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    • pp.1103-1110
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    • 2020
  • In this study, a segmented model with Upside-Down bathtub shaped failure intensity for a repairable system are proposed under the assumption that the occurrences of the failures of a repairable system follow the Non-Homogeneous Poisson Process. The proposed segmented model is the compound model of S-PLP and LIP (Segmented Power Law Process and Logistic Intensity Process), that fits the separate failure intensity functions on each segment of time interval. The maximum likelihood estimation is used for estimating the parameters of the S-PLP and LIP model. The case study of system A shows that the S-PLP and LIP model fits better than the other models when compared by AICc (Akaike Information Criterion corrected) and MSE (Mean Squared Error). And it also implies that the S-PLP and LIP model can be useful for explaining the failure intensities of similar systems.

A Macro Analysis of Tourist Arrival in Nepal

  • PAUDEL, Tulsi;DHAKAL, Thakur;LI, Wen Ya;KIM, Yeong Gug
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.207-215
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    • 2021
  • The number of tourists visiting Nepal has shown rapid growth in recent years, and Nepal is expecting more tourist arrivals in the future. This paper, thus, attempts to analyze the tourist arrivals in Nepal and predict the number of visitors until 2025. This paper has examined the international tourist arrival trend in Nepal using the Gompertz and Logistic growth model. The international tourist arrival data from 1991 to 2018 is used to investigate international tourist arrival trends. The result of the analysis found that the Gompertz model performs a better fit than the Logistic model. The study further forecast the expected tourist arrival below one million (844,319) by 2025. Nevertheless, the government of Nepal has the goal of two million tourists in a year. The present study also discusses system dynamics scenarios for the two million potential visitors within a year. Scenario analysis shows that proper advertisement and positive word-of-mouth will be key factors in achieving a higher number of tourists. The current study could fill the gap of theoretical and empirical forecasting of tourist arrivals in the Nepalese tourism industry. Also, the study findings would be beneficial for government officers, planners and investors, and policy-makers in the Nepalese tourism industry.

Forecasting the consumption of dairy products in Korea using growth models

  • Jaesung, Cho;Jae Bong, Chang
    • Korean Journal of Agricultural Science
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    • v.48 no.4
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    • pp.987-1001
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    • 2021
  • One of the most critical issues in the dairy industry, alongside the low birth rate and the aging population, is the decrease in demand for milk. In this study, the consumption trends of 12 major dairy products distributed in Korea were predicted using a logistic model, the Gompertz model, and the Bass diffusion model, which are representative S-shaped growth models. The 12 dairy products are fermented milk (liquid type, cream type), butter, milk powder (modified, whole, skim), liquid milk (market, flavored), condensed milk, cheese (natural, processed), and cream. As a result of the analysis, the growth potential of butter, condensed milk, natural cheese, processed cheese, and cream consumption among the 12 dairy products is relatively high, whereas the growth of the remaining dairy product consumption is expected to stagnate or decrease. However, butter and cream are by-products of the skim milk powder manufacturing process. Therefore, even if the consumption of butter and cream grows, it is difficult to increase the demand of domestic milk unless the production of skim milk powder produced from domestic milk is also increased. Therefore, in order to support the domestic dairy industry, policy support should be focused on increasing domestic milk usage for the production of condensed milk, natural cheese, and processed cheese.

An Empirical Analysis on the Determinants of Residential Mobility and Reclassifying Urban and Rural Areas (도시와 농촌의 재유형화와 주거이동 결정요인 분석)

  • Heewon Chang;Donghwan An
    • Journal of Korean Society of Rural Planning
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    • v.30 no.2
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    • pp.79-96
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    • 2024
  • The purpose of this study is to analyze the factors affecting residential mobility between urban and rural. After classifying urban and rural region based on discriminatory attributes of the regions, we applied a multinomial logistic model, using the sample data of 2020 Korea Population and Housing Census. The major findings are as follows. The young highly educated in cities avoided rural. The young less educated in rural engaged in 2, 3th industries as well as agricultural industry, but remained in low-paying and unstable jobs. In addition, various classes moved to rural and rising house prices in cities pushed people to rural. Therefore, it is necessary to develop diversified regional industry models and provide opportunities for high quality and stable jobs in rural by linking industrial demand, education and jobs. Also, preserving the rural environment, settlement conditions and residential environment are needed for satisfying various needs of urban residents who migrate to rural areas. While regional policies so far have focused on maintaining the population size and promoting a population influx, rural development and population policies should be established in a way that responds to diverse population classes in an era of population decline.

Examining Factors Influencing the Consumption of Imported Pork Using the Consumer Behavior Survey for Food (식품소비행태조사를 이용한 수입산 돼지고기 섭취의향 결정요인 분석)

  • Byeong-mu Oh;Ji-hye Oh;Su-min Yun;Wonjoo Jo;HongSeok Seo;Seon-woong Kim
    • The Korean Journal of Food And Nutrition
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    • v.37 no.3
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    • pp.162-170
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    • 2024
  • The domestic swine industry is currently facing a threat due to the recent increase in pork imports. This study aims to determine what factors influence consumers' intention to consume imported pork and suggest measures to support the domestic pork industry. To achieve this, we analyzed data from the Korea Rural Economic Institute's Food Consumption Behavior Survey using a binary logistic regression model. The results revealed that a higher intention to consume imported pork is linked to a higher intention to consume imported rice, purchasing meat online, frequent purchases of HMR, and procuring U.S. beef, especially among urban residents. On the other hand, a lower intention to consume imported pork is associated with a higher awareness of animal welfare certification, frequently dining out, and older age. Based on these findings, we propose the following response measures for the domestic swine industry: implementing educational programs, marketing, and advertising specifically targeting urban residents to improve their perception of domestic agricultural products; enhancing price competitiveness through distribution optimization; and developing policies to promote the use of domestic pork as an ingredient in processed foods.

Efficiency Analysis and Finance Strategy for an Automotive Parts Maker Using DEA and Logistic Regression Model (DEA와 로지스틱 회귀분석을 이용한 자동차부품기업의 효율성 분석 및 재무전략)

  • Sin, Jeong-Hun;Hwang, Seung-June
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.1
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    • pp.127-143
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    • 2016
  • This study applied DEA analysis to measure the relative efficiency of 35 companies that produce automobile body components. First, the input and output, the improvement target value of the calculated variables, and the reference group for benchmarking for inefficient groups to become efficient groups were established through DEA analysis. In addition, whether inefficiency was due to technical inefficiency or size was analyzed in connection with the cases of the actual companies through the measurement of scale efficiency. Second, a route for efficiency improvement was derived through DEA-Tier analysis by defining the possible group for benchmarking in actuality within the production industry of automobile body components where the primary cooperative company belonged. Third, the financial variables that generate the difference between efficient and inefficient groups were derived through logistic regression analysis. Financial strategies that determine the direction the indices should be improved to allow the inefficient group to become an efficient one were recommended. This research is expected to provide diagnostic methods for management efficiency and the direction of improvement to enhance the management efficiency of automotive parts makers by identifying the causes of the inefficiency of domestic automotive parts makers empirically. The study also provides financial strategies together with the target values of efficiency improvement for each individual company.

The Effects of Logistics Competence in Korea Overseas Shipping Industry (국제해상운송업의 물류경쟁력 영향요인)

  • 박영근;공덕암
    • Journal of Korea Port Economic Association
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    • v.21 no.1
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    • pp.45-58
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    • 2005
  • The purpose of this study is to consider the problem on pursuit of logistics strategy by our international shipping company in international shipping business under the said circumstance due to the open international shipping market and to suggest the logistics strategy for the consideration of the logistics competition under new international shipping circumstances. The results of empirical analysis are mentioned as follows; First, it shall be considered to maintain the size of company bigger than a certain capability so that it may obtain the superior competition of logistics. Second, as there are the plus correlations between the competition of logistics and the logistic support, it is necessary to pursuit the upgrade service with using EDI system and making up the complex shipping and integrated logistics system in general. Third, with the rationalization of finance policy and the profitable management of shipping company the ratio of net worth can be raised and it can be achieved to make the sound financial structure as reducing the excessive debt ratio. Fourth, it can be effort continuously to perform the investment for the infrastructure of logistics support & the institutional supplement so that it may achieve to increase the efficiency of logistic support at pier and to reduce the cost of logistic support.

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