• Title/Summary/Keyword: Business Simulation

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Cost Analysis Model according to Mortality in Land-based Aquaculture (육상수조 어류양식 생존율에 따른 비용분석모형)

  • Eh, Youn-Yang
    • The Journal of Fisheries Business Administration
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    • v.47 no.4
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    • pp.1-13
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    • 2016
  • Fish mortality is the most important success factor in aquaculture management. To analyze the effect of mortality considering biological and economic condition is a important problem in land-based aquaculture. This study is aimed to analyze the effect of mortality for duration of cultivation in land-based aquaculture. This study builds the mathematical model that finds the value of decision variable to minimize cost that sums up the water pool usage cost, sorting cost, fingerling cost and feeding cost under critical standing corp constraint. The proposed mathematical model involves many aspects, both biological and economical: (1) number of fingerlings (2) timing and number of batch splitting event, based on (3) fish growth rate, (4) mortality, and (5) several farming expense. Numerical simulation model presented here in. The objective of numerical simulation is to provide for decision makers to analyse and comprehend the proposed model. When extensive biological and cost data become available, the proposed model can be widely applied to yield more accurate results.

LEVERAGING SYSTEM DYNAMICS ARCHETYPES IN CASEMIX SIMULATION MODELING

  • Mahendran, Maliapen;Quaddus, Mohammed;Ramaseshan, Ram
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.13-19
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    • 2001
  • Unlike that of most management science methodologies, the focus in systems thinking is not on \\\"solving\\\" problems or seeking an optimal solution. Conventional problem solving does not explicitly consider the context of the problem. This implies that the \\\"hospital financial management problem\\\" could be neatly isolated from its environmental and external factors. System thinking and system archetypes, in contrast, acknowledges the messiness of the world and views a problem in the context of its environment. This is one reason why qualitative variables play an important role in system thinking, as these variables represent conditions or phenomena that cannot be measured or accounted in a strictly quantitative approaches. In this paper we present specific healthcare system archetypes which consider such external influences in the healthcare industry in Australia and observe their behavior over time. behavior over time.

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A Study on Representation of 3D Virtual Fabric Simulation with Drape Image Analysis II - Focus on the Comparison between Real Clothing and 3D Virtual Clothing -

  • Lee, Min-Jeong;Sohn, Hee-Soon;Kim, Jong-Jun
    • Journal of Fashion Business
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    • v.15 no.3
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    • pp.97-111
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    • 2011
  • This study aims to apply 3D virtual fabric parameters - as obtained from previous research experiments - to 3D virtual clothing simulation in comparing its similarity with actual clothing as worn, with a view to verifying the objectivity and validity of the 3D virtual fabric simulation method devised by the drape image analysis method. In addition, the result is intended to be used as the basic data for new 3D virtual clothing simulation methods. As the results, 3D virtual fabric parameters designed to simulate 3D drape to be similar to actual fabrics were found to be Bending Strength, Buckling Point, Density, Particle Distance, and Shear. They were also found to be important measurements when evaluating visual similarity between drape shadow images and number of nodes. 3D virtual fabric simulation method devised by the drape image analysis method was appropriate in extracting 3D fabric parameters with the reflection of actual fabrics' physical and dynamic characteristics, in connection with 3D virtual fabric simulation. 3D virtual fabric parameters with the reflection of actual fabrics' physical and dynamic characteristics using the proposed 3D virtual fabric simulation method are accumulated and provided as a standard, this will facilitate the introduction 3D virtual fabric simulation technology.

A More Comprehensive Approach for Enhancing Business Process Efficiency (BPM에서의 업무효율성 향상을 위한 포괄적 접근법)

  • Rhee, Seung-Hyun;Cho, Nam-Wook;Bae, Hye-Rim
    • The Journal of Society for e-Business Studies
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    • v.12 no.1
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    • pp.73-87
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    • 2007
  • To survive in a global competition, many companies are trying to standardize and visualize Business Process (BP) by implementing Business Process Management (BPM). Recently, enhancing business process efficiency has become one of critical success factors. In this paper, we introduce a two-phase perspective of BP efficiency: Process Engine Perspective (PEP) and Task Performer Perspective (TPP). The former is related to allocation function of BP engine; it is mainly concerned with efficient task allocation to users. The latter phase influences efficiency depending on how users execute tasks assigned to them. Instead of considering each phase separately, we develop a comprehensive method considering the two-phase together, which is more effective for the BP efficiency. We carry out simulation experiment to show the combinational effect of the two phases.

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Simulation of Efficient FlowControl for Photolithography Process Manufacturing of Semiconductor

  • Han, Young-Shin;Lee, Chilgee
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.269-273
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    • 2001
  • Semiconductor wafer fabrication is a business of high capital investment and fast changing nature. To be competitive, the production in a fab needs to be effectively planned and scheduled starting from the ramping up phase, so that the business goals such as on-time delivery, high output volume and effective use of capital intensive equipment can be achieved. In this paper, we propose Stand Alone layout and In-Line layout are analyzed and compared while varying number of device variable changes. The comparison is performed through simulation using ProSys; a window 98 based discrete system simulation software, as a tool for comparing performance of two proposed layouts. The comparison demonstrates that when the number of device variable change is small, In-Line layout is more efficient in terms of production quantity. However, as the number of device variable change is more than 14 titles, Stand Alone layout prevails over In-Line layout.

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A Study on the Lifecycle of the Offshore Plant and the Simulation with DMU and Ergonomics (해양플랜트 수명주기 고찰과 조립 및 인간공학 시뮬레이션 적용에 관한 연구)

  • Lee, Yong-Gil;Woo, Jong-Hun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.4
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    • pp.457-466
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    • 2015
  • In this paper, the academic research on the value chain and the supply chain of offshore business are conducted for the investigation of the offshore business comprehensive configuration. Then, the assembly and ergonomic simulation was conducted for the purpose of advanced validation of offshore project.. With respect to the simulation analysis, the assembly simulation model(w.r.t. drill ship) and the ergonomic simulation model(w.r.t. FPSO) are constructed. Through the assembly simulation of drillship, the production processes could be validated in terms of availability. Also, the problem of topside design of FPSO was found by ergonomic simulation.

The Diffusion Period and Productivity of Smartwork by Business Simulation (비즈니스 시뮬레이션으로 살펴본 스마트워크의 확산 기간과 생산성 연구)

  • Jung, Byoungho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.1
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    • pp.57-73
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    • 2021
  • The purpose of this study is to analyze the diffusion period and productivity of smartwork in an organization. Firms are increasingly interested in smartwork for non contact work and working from home because of the corona 19. The smartwork is a new technology that changes face-to-face work in an organization. It helps the work of individuals and organizations regardless of time and place. The theoretical background describes the complexity, system thinking, diffusion theory, smart work, organizational resistance, and productivity. This study analyzes the diffusion period and productivity of smart work through business simulation techniques. A simulation study progresses four stages. There are problem definition, hypothesis establishment and causal loop diagram, model construction and verification, and policy evaluation. The simulation models contain an individual's resistance variables organizational investment and leadership variables related to the operation of smartwork. The organizational investment variables include organizational culture, legal system, implement systems and technology investment. The individual resistance variables include cognitive, attitude, structure and technological resistance. The leadership includes leadership interest variables and performance linkage variables. The simulation executed the changes of a people number adopting smart work and the organizational productivity monthly. As a result of the simulation, many organization members have accepted the smart work innovation after 20 months. The organizational productivity through smart work showed very high value after 16 months. In scenario analysis, the individuals' awareness and attitude resistance showed very important variables to productivity and a personal change of smart work adoption. Meanwhile, The organizational investment showed that the high driving-force increased not productivity and the low driving-force showed decreased low productivity. Also, leadership variables showed a powerful driver for changing smart work productivity. The implication of the study has suggested extending complexity, diffusion theory and organization resistance theory based on simulation methods.

Simulation-Based Operational Risk Assessment (시뮬레이션 기법을 이용한 운영리스크 평가)

  • Hwang, Myung-Soo;Lee, Young-Jai
    • Journal of Information Technology Services
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    • v.4 no.1
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    • pp.129-139
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    • 2005
  • This paper proposes a framework of Operational Risk-based Business Continuity System(ORBCS), and develops protection system for operational risk through operational risk assessment and loss distribution approach based on risk management guideline announced in the basel II. In order to find out financial operational risk, business processes of domestic bank are assorted by seven event factors and eight business activities so that we can construct the system. After we find out KRI(Key Risk Indicator) index, tasks and risks, we calculated risk possibility and expected cost by analyzing quantitative data, questionnaire and qualitative approach for AHP model from the past events. Furthermore, we can assume unexpected cost loss by using loss distribution approach presented in the basel II. Each bank can also assume expected loss distributions of operational risk by seven event factors and eight business activities. In this research, we choose loss distribution approach so that we can calculate operational risk. In order to explain number of case happened, we choose poisson distribution, log-normal distribution for loss cost, and estimate model for Monte-Carlo simulation. Through this process which is measured by operational risk. of ABC bank, we find out that loss distribution approach explains closer unexpected cost directly compared than internal measurement approach, and makes less unexpected cost loss.

Use of MonteCarlo Simulation for More Effective Teaching of Business Statistics (효과적인 경영통계 교육을 위한 시뮬레이션 활용)

  • 김영일;안철환
    • The Korean Journal of Applied Statistics
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    • v.15 no.1
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    • pp.153-163
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    • 2002
  • There seems to be a little trouble in delivering an effective teaching of statistics at the school of Business. Students attitude toward the understanding of mathematics appears to be one of the hindrances encountered to the wide spread use of statistics. Nevertheless, the usefulness of statistics is notably appreciated these days although students may not be aware of it. It is true that many processes of decision-making are based on various future uncertainties, however, decisions must be made at the present. In this synopsis, we would like to solve simple business problems, thereby, suggest more constructive ways to match the statistics with the interest of management. We, in the mean time, will talk about the understanding of business, method of teaching, and Monte Carlo education.

Ordering Model of Fingerlings in Aquaculture Farm (치어 주문모형에 관한 연구)

  • Eh, Youn-Yang;Song, Dong-Hyo
    • The Journal of Fisheries Business Administration
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    • v.48 no.3
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    • pp.47-59
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    • 2017
  • Fish mortality is the most important success factor in aquaculture management. To order fingerlings considering the effect of mortality is a important problem in aquaculture farm. This study is aimed to decision the number and size of fry in aquaculture farm. This study build the mathematical model that finds the value of decision variable to minimize total cost that sums up the fingerling purchasing cost, aquaculture farm operating cost and feeding cost under mortality constraint. The proposed mathematical model involve biological and economical variables: (1) number of fingerlings (2) fish growth rate (3) mortality (4) price of a fry (5) feeding cost, and (6) possible order period. Numerical simulation model presented here in. The objective of numerical simulation is to provide for decision makers to analyse and comprehend the proposed model. When extensive biological and cost data become available, the proposed model can be widely applied to yield more accurate results.