• Title/Summary/Keyword: Inventory Modeling

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Convergent Factors Related to Job Burnout among Hospital Administrative Staff (병원행정직의 직무소진과 관련된 융복합적 요인)

  • Kim, Seung-Hee;Bae, Sang-Yun
    • Journal of Digital Convergence
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    • v.15 no.10
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    • pp.349-356
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    • 2017
  • This study is executed to investigate convergent factors to job burnout(MBI-GS: Maslach Bunout Inventory-General Survey) among hospital administrative staff. The survey was administered to 201 staff from 9 general hospitals located in J area from Jul. 3rd, 2017 to Jul. 29th, 2017. The structured self-administered questionaries were used. The hierarchical multiple regression analysis shows the following results. The MBI-GS of respondents turned out to be significantly higher in following groups: a group in which Organizational Commitment Questionnaire(OCQ) is lower, a group in which Type A Behavior Pattern(TABP) is higher, a group in which depression(CES-D: Center for Epidemiologic Studies Depression scale) are higher. The results show explanatory power of 52.1%. The results of the study indicate that the efforts, to increase OCQ, and to decrease TABP and CES-D, are required to improve the MBI-GS among hospital administrative staff. The results are expected to be useful for the program and human resource management to related to the MBI-GS among HAS. In the following study, the analysis of structural equation modeling about additional factors of the MBI-GS among hospital administrative staff will be needed.

A Study on Modeling and Forecasting of Mobile Phone Sales Trends (이동통신 단말기 판매 추이에 대한 모형 및 수요예측에 관한 연구)

  • Kim, Min-Jeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.6
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    • pp.157-165
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    • 2016
  • Among high-tech products, the mobile phone has experienced a rapid rate of innovation and a shortening of its product life cycle. The shortened product life cycle poses major challenges to those involved in the creation of forecasting methods fundamental to strategic management and planning systems. This study examined whether the best model applies to the entire diffusion life span of a mobile phone. Mobile phone sales data from a specific mobile service provider in Korea from March of 2013 to August of 2014 were analyzed to compare the performance of two S-shaped diffusion models and two non-linear regression models, the Gompertz, logistic, Michaelis-Menten, and logarithmic models. The experimental results indicated that the logistic model outperforms the other three models over the fitted region of the diffusion. For forecasting, the logistic model outperformed the Gompertz model for the period prior to diffusion saturation, whereas the Gompertz model was superior after saturation approaches. This analysis may help those estimate the potential mobile phone market size and perform inventory and order management of mobile phones.

Detection and Correction of Noisy Pixels Embedded in NDVI Time Series Based on the Spatio-temporal Continuity (시공간적 연속성을 이용한 오염된 식생지수(GIMMS NDVI) 화소의 탐지 및 보정 기법 개발)

  • Park, Ju-Hee;Cho, A-Ra;Kang, Jeon-Ho;Suh, Myoung-Seok
    • Atmosphere
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    • v.21 no.4
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    • pp.337-347
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    • 2011
  • In this paper, we developed a detection and correction method of noisy pixels embedded in the time series of normalized difference vegetation index (NDVI) data based on the spatio-temporal continuity of vegetation conditions. For the application of the method, 25-year (1982-2006) GIMMS (Global Inventory Modeling and Mapping Study) NDVI dataset over the Korean peninsula were used. The spatial resolution and temporal frequency of this dataset are $8{\times}8km^2$ and 15-day, respectively. Also the land cover map over East Asia is used. The noisy pixels are detected by the temporal continuity check with the reference values and dynamic threshold values according to season and location. In general, the number of noisy pixels are especially larger during summer than other seasons. And the detected noisy pixels are corrected by the iterative method until the noisy pixels are completely corrected. At first, the noisy pixels are replaced by the arithmetic weighted mean of two adjacent NDVIs when the two NDVI are normal. After that the remnant noisy pixels are corrected by the weighted average of NDVI of the same land cover according to the distance. After correction, the NDVI values and their variances are increased and decreased by 5% and 50%, respectively. Comparing to the other correction method, this correction method shows a better result especially when the noisy pixels are occurred more than 2 times consistently and the temporal change rates of NDVI are very high. It means that the correction method developed in this study is superior in the reconstruction of maximum NDVI and NDVI at the starting and falling season.

A Single Cell Multimedia Fate Model for Endocrine Disrupting Chemicals

  • Park, Kyunghee;Junheon Youn;Daeil Kang;Lee, Choong;Lee, Dongsoo;Jaeryoung Oh;Sunghwan Jeon;Jingyun Na
    • Proceedings of the Korea Society of Environmental Toocicology Conference
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    • 2003.05a
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    • pp.149-149
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    • 2003
  • To understand environmental paths of the transport and accumulation of endocrine disrupting chemicals (EDCs), a single cell multimedia fate model has been constructed and evaluated. The EDCs of concern were PAHs, Organochlorine Pesticides (OCPs), PCBs, Alkyl phenols, and phthalates. An evaluation model was designed for the multimedia distribution, including air, water, soil, sediment and vegetation. This model was verified using reported values and via monitoring data. Based on collected data, the distribution trends of EDCs with respect to environmental media were analyzed. Those results have applied to the model for the prediction of the spatial and temporal distribution of EDCs in Seoul. Especially, phenol compound, phthalates, PAHs, PCBs and organochlorine pesticides were estimated and the model was verified. This model was successfully conducted to environmental media, such as air (vapor and suspended particles), soils (forest soil, bare soil, and cement-concrete covered soil), water (dissolved and suspended solids), sediment, trees (deciduous and coniferous). The discrepancies between the model prediction and the measured data are approximately within or near a factor of 10 for the PAHs of three rings through that of six rings, implying that multimedia distribution of the PAHs could be predicted with a factor of 10. Concerning about the air equilibrium may be assumed, a fugacity at steady state is similar in all environmental media. Considering the uncertainties of this model, the use of equilibrium models may be sufficient for assessing chemical fates. In this study, a suggestion was made that modeling and estimation of chemicals in environmental multimedia be rigorously evaluated using the measured flux data. In addition, these data should be obtained, for example, from the precise and standardized inventory of the target chemicals. The model (EDC Seoul) will be refined in an on-going research effort and will be used to support decision-making concerning the management of EDCs.

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Empirical Research on Performance of SCM Adoption - Structural Equation Modeling Approach - (SCM 시스템 도입성과에 관한 실증적 연구 - 구조방정식모형 접근 -)

  • Park, Kwang-Oh
    • The Journal of the Korea Contents Association
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    • v.12 no.3
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    • pp.295-310
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    • 2012
  • The purpose of this research is to examine qualitative and quantitative performance on SCM. To validate our research model, five hundred survey questionnaires were distributed to the companies that have implemented SCM systems for at least one year. A total of 153 valid responses were obtained. In this research, we were to derive influencing factors of SCM performance, modelize the mutual influential relationship between them, and look into the influential relationship influencing the SCM performance. Moreover, we tried to analyze difference of financial ratios after adopting SCM. The results of the research can be summarized as follows. Change management had a significant impact on information system quality and SCM performance, and, information system quality had a significant impact on SCM performance. And, the difference of financial ratio was existed after the adopting SCM. Moreover, inventory turnover rates, ROI, ROA were increased, and labor costs to sales was decreased.

Dispersion of Air Pollutants Dispersion and Odorous Materials in Cheon-an Second Industrial Complex (하절기 천안 제 2산업단지의 대기오염확산 및 악취물질에 관한 연구)

  • Chung, Jin-Do;Hong, Jeng-Hee;Kim, Su-Young;Kim, Jung-Tae;Choi, So-Jin
    • Journal of Korean Society of Environmental Engineers
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    • v.28 no.12
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    • pp.1316-1322
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    • 2006
  • The purpose of this study is to analyze the pattern distribution of the odorous compounds and air pollutants from the inventory sources in the Cheon-an second industrial complex. Twelve analysis including specified odor materials and air pollutants were concurrently measured during the month of August, 2005 to evalaute odor emission characterization in m3;or treatment facilities. Also, Concentration of air pollutants has been calculated by ISCST3 in ISC3 models. A Korean air diffusion modeling software, Air Master, was developed on a basis of diffusion theories adopted in U.S. EPA's ISC3 model to assess the air quality impact from the stacks. This investigation will be executed how large the complex pollutant sources such as industrial complex contribute to atmospheric environment and air quality of the surrounding the area as predicting by comparing and analyzing results of odorous compounds and air pollutants diffusion concentration model.

PM2.5 Simulations for the Seoul Metropolitan Area: (V) Estimation of North Korean Emission Contribution (수도권 초미세먼지 농도모사: (V) 북한 배출량 영향 추정)

  • Bae, Minah;Kim, Hyun Cheol;Kim, Byeong-Uk;Kim, Soontae
    • Journal of Korean Society for Atmospheric Environment
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    • v.34 no.2
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    • pp.294-305
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    • 2018
  • Quantitative assessment on the impact from North Korean emissions to surface particulate matter(PM) concentration in the Seoul Metropolitan Area (SMA), South Korea is conducted using a 3-dimensional chemistry transport model. Transboundary transport of air pollutants and their precursors are important to understand regional air quality in East Asian countries. As North Korea locates in the middle of main transport pathways of Chinese pollutants, quantifiable estimation of its impact is essential for policy making in South Korean air quality management. In this study, the Community Multiscale Air Quality Modeling System is utilized to simulate regional air quality and its sensitivity, using the Comprehensive Regional Emissions inventory for Atmospheric Transport Experiment 2015 and the Clean Air Policy Support System 2013 emissions inventories for North and South Korea, respectively. Contributions were estimated by a brute force method, perturbing 50% of North and South Korean emissions. Simulations demonstrate that North Korean emissions contribute $3.89{\mu}g/m^3$ of annual surface PM concentrations in the SMA, which accounts 14.7% of the region's average. Impacts are dominant in nitrate and organic carbon (OC) concentrations, attributing almost 40% of SMA OC concentration during January and February. Clear seasonal variations are also found in North Korean emissions contribution to South Korea (and vice versa) due to seasonal characteristics of synoptic weather, especially by the change of seasonal flow patterns.

Study of Optimal Maintenance Float(M/F) Calculation Method (최적의 정비대체장비(M/F) 산출방안 비교 연구)

  • Lee, Hak-Jae;Jung, Kwang-Kyun;Kim, Jae-Hwang;Lee, Jong-Sin;Lee, Myoung-Jin
    • Journal of Applied Reliability
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    • v.16 no.3
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    • pp.192-201
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    • 2016
  • Purpose: In this paper, we propose the output model of the optimal inventory requirements of the Maintenance Float (M/F). Weapon systems were modernized and increased costs. Thus, the complexity increases with. Alternatives to achieve the goal of availability of weapon systems and to reduce life-cycle cost are required. Especially, securing spare parts is more effective than adding the amount of equipment or maintenance facilities to achieve the goal of availability and reduce life cycle costs. However, securing spare parts and repair costs are directly related, so exact requirements are needed. Methods: Three kinds of methods (Calculation method of applying the Poisson distribution, Calculation method of considering the number of CSP, and Calculation method of applying M&S program) that this paper proposed compare the influence of the availability and the amount of spare parts. Result: We calculate the cost of M/F when the operational availability is over than 80% and compare that result. The biggest cost was calculated from the Poisson distribution method. We found that requirements and unit price is the key factor that gives a significant effect. Conclusion: These three kinds of methods can be used as a basis for Maintenance Float calculation. Among them, the calculation method based on CSP is optimal replacement equipment requirements calculation method.

A Lean Logistics Model for Improving the Port Logistics in the Steel Industry (철강산업 린 기반 항만물류프로세스 개선 모델 구현)

  • Kim, Jung-Hoon;Nam, Ho-Ki
    • Convergence Security Journal
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    • v.8 no.1
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    • pp.101-108
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    • 2008
  • This research focuses on the process improvement of port logistics by using Lean methodology. On the one hand, we firstly analyze the current situation and weakness of the processes in port logistics, and then re-design the current processes by the principles of Lean discipline. Based on the appropriately changed processes, the improvement scheme of port logistics will be figured out. On the other hand, we construct the port logistics system by implementing the improved processes. The port logistics' processes accomplished in steel company will be further assorted and identified. The relationship of wharves process, operational process, shipping process, construction process, quality process, and purchasing process are also defined. Every process has been improved by Lean Tools in order to analyze the value added or non-value added processes, to improve the service level, and to reduce the cycle time, inventory, changing time, re-working and waste. Based on above, the appropriate environment that is suitable to Lean process of port logistics will be established and the modeling that can help to implement the improvement scheme will be figured out.

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An Improvement of Bottom Up Approach for Estimating the Mobile Emission Level (도로이동오염원 배출량 산정을 위한 Bottom-Up Approach 기법의 개선에 관한 연구)

  • Choe, Gi-Ju;Lee, Gyu-Jin;An, Seong-Chae
    • Journal of Korean Society of Transportation
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    • v.27 no.4
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    • pp.183-193
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    • 2009
  • Air pollution due to vehicle exhaust gas is considered to be a main contributor to the issues of transportation & environment. Furthermore it is raising concern over life quality and public health and is also perceived as a global issue. This research aims at providing helping hands for both central and local governments to set up and promote efficient atmospheric quality improvement policies, with the help of the travel demand forecasting model and GIS. More specifically, it tries to produce the overall emission level with time and space-based high resolution framework. This research, based on bottom-up approach reflecting vehicular traffic characteristics, suggested an improved approach to estimating emission level, by using a traffic model with a total of vehicular mileage revised by surveyed value and atmosphere model. Summing up, using the method proposed, the improvement of the reliability of the emissions inventory from the mobile pollutions sources is expected by the proposed integrated paradigm of transportation and atmosphere modeling approach as a new alternative.