Earticle

지속 가능한 농산물 생산을 통한 지역경제 성장에 정책적 관심이 증대되면서 농산물 브랜 드 전략의 중요함이 강조되고 있다. 본 연구는 농산물의 생산과정 시뮬레이션이 농산물 선택에 미치는 영향을 소비자 해석수준의 조절효과와 함께 탐구하고 효과적인 농산물 브랜드 전 략을 제안하고자 하였다. 즉 생산과정에 대한 시뮬레이션이 농산물 구매 선택에 미치는 긍정적 영향과 이러한 주 효과가 소비자의 해석수준에 따라 조절됨을 심리적 기제와 함께 밝혔다. 실험 1에 따르면, 소비자는 생산과정에 대한 시뮬레이션을 일으키는 수식 브랜드의 농산물을 그렇지 않은 조건에 비하여 더 많이 선택하였다. 나아가 실험 2에서는 소비자 해석수준을 고려하였는데, 상위 추론 소비자는 농산물의 생산과정을 시뮬레이션 한 조건에서 그렇지 않은 조건에 비하여 더 높은 구매 선택을 보인 반면, 하위 추론 소비자는 생산과정 시뮬레이션 여부에 관계없이 동일 한 구매 선택률을 보였다. 아울러 이러한 상호작용은 지각된 품질이 심리적 기제로 작용하는 것 으로 검증되었다. 본 연구는 농산물 구매 행동에 대한 소비자의 심리적 기제를 밝힘으로써 기존 농산물 선택과 관련한 연구를 학문적으로 더 확장하고, 지역 사회뿐 아니라 개인 농가에 농산물 판매에 유용한 수식 브랜드 전략을 제시하였다.

The importance of agricultural brand strategy is rising as the government has been interested in the growth of the local economy through sustainable production of agricultural products. This study proposed an effective agricultural brand strategy by investigating the impact of the simulation of the production-process on choices of agricultural products. Through achieving these research goals, this study revealed the positive impact of production-process focused simulation on agricultural product choices and these main effects were moderated by consumers' construal levels. Further, this study revealed psychological mechanisms behind the effects. Two experiments were conducted based on scenarios to demonstrate the hypotheses of study. According to Experiment 1, when participants saw the agricultural brand with production-process simulation, they chose the presented option more compared to the conditions that were not. According to Experiment 2, the main effect of production-process simulation on choice of agricultural products was moderated by consumers’ construal level. Specifically, participants with high-level construal showed a higher choice probability when they were asked to imagine focusing on production-process regarding agricultural products compared to focusing on outcome-focused imagination. By contrast, participants with lower level constual did not show the different choice probability regardless of the type of simulation. It reveled that these effects were attributed by perceived quality regarding the agricultural products by executing mediation test. This study further academically expanded the research on consumers’ behavior of agricultural product choice by presenting useful implications and especially by revealing the psychological mechanism in consumers’ agricultural purchasing behavior. In addition, it suggested the effective brand strategies for agricultural products to individual farmers as well as the local community.

Biodiesel production processes were designed with different three cases using SuperPro designer program. Biodiesel and glycerol could be made from reaction of soybean oil and methanol. The reaction can be performed by chemical process using commercial chemical catalyst and biological process using immobilized enzyme. Both two processes were designed and evaluated in this study. To change waste glycerol to value-added chemical, a hybrid process was designed. This process consisted of catalytic biodiesel production process and enzymatic glycerol carbonate production process. Finally, the economics and productivity of these processes were evaluated to check economic feasibility.

1. 돼지 성장호르몬을 연간 6000Kg을 생산하는 공장의 공정 설계를 Macintosh PC를 사용한 Bio D Designer를 이용해서 공정모사를 해 보았다. 각 단 위공정의 계산자를 정하기 위한 계산을 가정과 플라 스크배양의 결과를 이용하여 up-stream을 설계하고, downstream에서는 25%의 분리정제 수율을 가 정하고 전체공정을 설계하였다. 2. 경제성 분석에 의하연 돼지 성장호르몬의 dose 당 $ 2.00로 할 때 투자상환율 (return on invest­m ment, ROI)이 일 년에 104%이었으며, 투자금액의 상환에 걸리는 시간은 약 1년(0.96\건)이 걸리는 것으로 나왔다. 3. Sensitivity분석에 의하면 투자상환율은 돼 지 성장호르몬의 수율, 가격, 사용량 및 시장잠식율 순서의 변수에 의해 결정되는 것을 알 수 있었다

A computer simulation of biochemical process was carried out using Macintosh-based BioDesignerTM developed at Bioprocess and Engineering Center(BPEC) of MIT. Based on the assumptions and flask culture experiments, a porcine growth hormone (PGH, Porcine Somatotropin) production process was simulated by a two-stage continuous culture. The economical and sensitivity analyses were evaluated for the scale-up production of PGH. A high return on investment (ROI, 104%/year) suggested that the process be profitable. However, sensitivity analysis indicated that ROI was dependent on the yield of PGH, selling price, dose and the achievement of projected market penetration.

In this work it is shown how the methods used in chemical engineering for the analysis and simulation of processes may be applied to the actual phosphoric acid plant. Attention has been focused on the dihydrate process for which the necessary fundamental experimental data and plant operation data are available. The results of the simulation have shown that a reasonable description of the process at hand is possible by the proposed method. However, because of the complexity of the process, of the limited basic experimental data reported in literature, and the limitations of mathematics, the model was somewhat idealized and gave a reliable representation of the influence of only a few of the variables that affect the performance of the plant.

Reactive distillation (RD) is a combination process where both separation and reaction are considered simultaneously in a single vessel. This kind of combination to enhance the overall performance is not a new attempt in the chemical engineering areas. The recovery of ammonia in the classic Solvay process for soda ash of the 1860s may be cited as probably the first commercial application of RD. The RD system has been used for a long time as a useful process and recently the importance of the RD is enlarged more and more. In addition to that, the application fields of RD are diversely diverged. To make the most of the characteristic of RD system, we must decide the best operating condition under which the process shows the most effective productivity and should decide the best control algorithm which satisfies an optimal operating condition. Phosgene which is a highly reactive chemical is used for the production of isocyanates and polycarbonates. Because it has high reactivity and toxicity, its utilization is increasingly burdened by growing safety measures to be adopted during its production. Dimethyl Carbonate (DMC) was proposed as a substitute of phosgene because it is non-toxic and environmentally benign chemical. In this study, RD is used for DMC production process and the transesterification is performed inside of column to produce DMC. In transesterification, the methanol and ethylene carbonate (EC) are used as the reactants. This process use homogeneous catalyst and the azeotrope exists between the reactant and product. Owing to azeotrope, we should use two distillation columns. For this DMC production process, we can suggest two configurations. One is EC excess process and the other is methanol excess process. From the comparison of steady state simulation results where the Naphtali-Sandholm algorithm is used, it showed the better performance to use the methanol excess process configuration than EC excess process. Then, the dynamic simulation was performed to be based on the steady state simulation results and the optimal control system was designed. In addition to that, the optimal operating condition was suggested from previous results.

In order to evaluate the start-up behavior and to identify, through abnormal operation occurrences, the transient behaviors of the Sulfur Iodine(SI) process, which is a nuclear hydrogen process that is coupled to a Very High Temperature Gas Cooled Reactor (VHTR) through an Intermediate Heat Exchanger (IHX), a dynamic simulation of the process is necessary. Perturbation of the flow rate or temperature in the inlet streams may result in various transient states. An understanding of the dynamic behavior due to these factors is able to support the conceptual design of the secondary helium loop system associated with a hydrogen production plant. Based on the mass and energy balance sheets of an electrodialysis-embedded SI process equivalent to a 200 $MW_{th}$ VHTR and a considerable thermal pathway between the SI process and the VHTR system, a dynamic simulation of the SI process was carried out for a sulfuric acid decomposition process (Second Section) that is composed of a sulfuric acid vaporizer, a sulfuric acid decomposer, and a sulfur trioxide decomposer. The dynamic behaviors of these integrated reactors according to several anticipated scenarios are evaluated and the dominant and mild factors are observed. As for the results of the simulation, all the reactors in the sulfuric acid decomposition process approach a steady state at the same time. Temperature control of the inlet helium is strictly required rather than the flow rate control of the inlet helium to keep the steady state condition in the Second Section. On the other hand, it was revealed that the changes of the inlet helium operation conditions make a great impact on the performances of $SO_3$ and $H_2SO_4$ decomposers, but no effect on the performance of the $H_2SO_4$ vaporizer.

본 연구는 흑연광 지하채광 시스템을 설계하고, 광산 개발 공정을 평가할 수 있는 시뮬레이션 모델을 개발하였다. 제안된 모델은 3D 모델링을 통해 구축된 광체 정보를 활용하여 지하 운반 시스템, 지하 파쇄시스템, 출하 시스템의 세 가지 주요 하위 시스템을 시뮬레이션할 수 있도록 구성하였다. 연구지역은 국내의 한 흑연 광체를 대상으로 하였으며, 현장 조건을 반영한 시뮬레이션 모델을 구축하였다. 개발된 모델을 적용하여 연구지역의 지하채광 시스템에 적합한 최적의 장비 운영 방안을 도출하였다. 본 연구에서 구현한 모델은 3D 모델링 기반으로 연구지역의 지하채광 시스템을 정밀하게 재현하였다. 이를 바탕으로 구축된 시뮬레이션 모델은 실제 현장에서의 운영 효율성 향상을 위해 활용될 수 있는 가능성을 보여주었다.

This study designed an underground mining system for a graphite deposit and developed a simulation model to evaluate the mining development process. The proposed model incorporates the orebody generated through 3D modeling and simulates three major subsystems: the underground haulage system, the underground crushing system, and the shipment system. A graphite deposit in Korea was selected as the study area, and a site-specific simulation model was constructed accordingly. Using the developed model, optimal equipment operation strategies suitable for the underground mining conditions of the study area were derived. The model implemented through 3D modeling provides a comprehensive representation of the underground mining system. The results of this study demonstrate the potential contribution of the proposed simulation model to improving operational efficiency in actual field applications.

수소에너지는 다양한 원료로부터의 수소생산을 위한 반응기술 및 생산물로부터 수소 정제를 위한 분리기술의 확립과 더불어, 대형화 시스템부터 소형 시스템에 이르는 공정기술을 확보하는 것이 다가오는 청정 대체에너지 체제에 대비하기 위하여 필요하다. 이를 위해서는 생산된 수소 혼합물에서부터 수소를 분리 정제하는pressure swing adsorption (PSA) 의 개발이 필수적이다. 이 기술은 이미 다양한 분야에 성공적으로 상용화 적용되어 기술의 타당성을 제시하고 있으나, 국내의 경우 수입에 의존하고 있어 이를 설계 할 수 있는 공정모사기 (simulator)의 개발이 우선되어야 한다. 따라서 효율적으로 PSA 공정 및 scale-up기술을 확보하기 위해서는 전산모사기 개발의 선행이 필수적이다. PSA 공정의 전산모사기는 물질수지, 에너지수지, 모멘텀수지와 더불어 흡착평형과 속도식이 결합되어 개발되어야 한다. 특히 공정에 다양한 단계가 적용되기 때문에 복잡한 boundary condition이 적용되며, 연속순환공정이라 하더라도 각 단계가 discrete 하게 해석되어야 한다. 따라서 공정모사는dynamic simulator로 개발되어야 정확도를 확보할 수 있다. 본 연구에서는 제철소에서 발생하는 수소혼합물이 WGSR 반응기를 거쳐 수소의 농도를 향상 시키고, 이를 유입가스로 사용하는 $H_2$ PSA 공정 모사기를 개발하고자 한다. 수소 생산을 위한 PSA 공정 모사기 개발을 통하여 95% $H_2$ 순도와 90% 회수율 규모의 수소를 생산할 수 있는 PSA 공정의 설계 기술기반을 확보하고자 한다.

Digital Manufacturing-based production could be very effective in shipbuilding in order to save costs and time, to increase safety for workers, and to prevent bottleneck processes in advance. Digital shipbuilding system, a simulation-based production tool, is being developed to achieve such aspects in Korea. To simulate material flow in a subassembly line at a shipyard, the product, process and resources was modeled for the subassembly process which consisted of several sub-processes such as tack welding, piece alignment, tack welding, and robot welding processes. The analysis and modeling were carried out by using the UML(Unified Modeling Language), an object-oriented modeling method as well as IDEF(Integration DEFinition), a functional modeling tool. Initially, the characteristics of the shop resources were analyzed using the shipyard data, and the layout of the subassembly line was designed with the resources. The production process modeling of the subassembly lines was performed using the discrete event simulation method. Using the constructed resource and process model, the productivity and efficiency of the line were investigated. The number of workers and the variations In the resource performance such as that of a new welding robot were examined to simulate the changes in productivity. The bottleneck process floated according to the performance of the new resources. The proposed model was viewed three-dimensionally in a digital environment so that interferences among objects and space allocations for the resources could be easily investigated

본 연구의 목표는 톱밥의 건조, 급속열분해, 바이오오일 응축, 바이오오일 수첨개질, 전기생산, 폐수처리를 포함하는 2개의 바이오오일 생산공정들에 대한 경제적 타당성을 평가하는 것이다. 첫번째 공정은 수소생산을 위한 steam-methane reforming (SMR)을 포함하는 바이오오일 생산공정이다(Case 1). 두번째 공정은 SMR을 포함하지 않고 수소를 외부로부터 공급받아 수첨개질을 수행하는 바이오오일 생산공정이다(Case 2). 상용공정모사기인 ASPEN Plus를 이용하여 이두 공정에 대한 공정흐름도를 구축하였고, 물질 및 에너지 수지식을 계산하였다. 원료로서 40%의 수분을 포함하는 톱밥 100 t/d, 30% 자기자본비율, 자기자본에 상응하는 자본지출, 수소 구입가 $1,050/ton, 완전건조된 원료대비 수송용 연료 수율 20% (Case 1) 및 25% (Case 2) 로 가정하고, 4단계 경제성 분석기법인 4-level EP를 사용하여 기술경제성 분석을 수행하였다. 총투자비(TCI), 총생산비(TPC), 연간판매금액(ASR), 그리고 개질 바이오오일의 최소판매가격(MFSP)은 Case 1에 대하여 $22.2 million, $3.98 million/yr, $4.64 million/yr, 그리고 $1.56/l 이고, Case 2에 대하여 $16.1 million, $5.20 million/yr, $5.55 million/yr, $1.18/l로 산출되었다. 수소를 직접 생산하는 Case 1과 수소를 외부로 부터 공급받는 Case 2의 투자회수율(ROI)와 투자회수기간(PBP)은 큰 차이를 보여주지 않았고, Case 1과 Case 2의 원료 공급량을 1,500 t/d로 증가할 경우, ROI는 15% 이상으로 향상될 것으로 예상되었다.

The objective of this study is to evaluate the economic feasibility of two fast pyrolysis and biooil upgrading (FPBU) plants including feed drying, fast pyrolysis by fluidized-bed, biooil recovery, hydro-processing for biooil upgrading, electricity generation, and wastewater treatment. The two FPBU plants are Case 1 of an FPBU plant with steam methane reforming (SMR) for $H_2$ generation (FPBU-HG, 20% yield), and Case 2 of an FPBU with external $H_2$ supply (FPBUEH, 25% yield). The process flow diagrams (PFDs) for the two plants were constructed, and the mass and energy balances were calculated, using a commercial process simulator (ASPEN Plus). A four-level economic potential approach (4-level EP) was used for techno-economic analysis (TEA) under the assumption of sawdust 100 t//d containing 40% water, 30% equity, capital expenditure equal to the equity, $H_2$ price of $1050/ton, and hydrocarbon yield from dried sawdust equal to 20 and 25 % for Case 1 and 2, respectively. TCI (total capital investment), TPC (total production cost), ASR (annual sales revenue), and MFSP (minimum fuel selling price) of Case 1 were $22.2 million, $3.98 million/yr, $4.64 million/yr, and $1.56/l, respectively. Those of Case 2 were $16.1 million, $5.20 million/yr, $5.55 million/yr, and $1.18/l, respectively. Both ROI (return on investment) and PBP (payback period) of Case 1(FPBU-HG) and Case 2(FPBU-EH) were the almost same. If the plant capacity increases into 1,500 t/d for Case 1 and Case 2, ROI would be improved into 15%/yr.

본 연구에서는 바이오디젤 생산의 부산물인 글리세롤로부터 수증기 개질(Steam Reforming, SR) 반응을 통해 수소를 생산하는 공정의 모델링과 모사 및 최적화를 수행했다. 글리세롤을 이용한 수소 생산 방법은 기존의 수소 생산방법인 메탄의 수증기 개질법(Steam Methane Reforming, SMR)을 대체할 수 있는 새로운 방법으로 세계 여러 곳에서 연구가 진행 중이다. 글리세롤과 수증기의 기체 혼합물을 고온의 반응기 내에서 개질시켜 합성가스(CO, $H_2$)를 생산하고, 합성가스에 포함된 일산화탄소를 수성 가스 전화 반응(Water-Gas Shift, WGS)을 통해 수증기와 반응시켜 수소를 생성하고, 최종적으로 Pressure Swing Adsorption (PSA) 공정을 통하여 이산화탄소와 수소를 분리하여 정제된 수소를 얻는다. 공정시뮬레이션 프로그램인 UniSim을 이용하여 시뮬레이션을 진행하였으며, 열효율 개선을 실시하여 운전 비용을 절감하고자 하였다. 기존 연구인 미국 DOE와 독일 Linde의 글리세롤 이용 수소 생산공정과 수율 비교를 진행하였고, 수소 에너지 인프라 구축에 기여하기 위한 최적의 생산방법을 제안하였다.

For improved sustainability of the biorefinery industry, biorefinery-byproduct glycerol is being investigated as an alternate source for hydrogen production. This research designs and optimizes a hydrogen-production process for small hydrogen stations using steam reforming of purified glycerol as the main reaction, replacing existing processes relying on steam methane reforming. Modeling, simulation and optimization using a commercial process simulator are performed for the proposed hydrogen production process from glycerol. The mixture of glycerol and steam are used for making syngas in the reforming process. Then hydrogen are produced from carbon monoxide and steam through the water-gas shift reaction. Finally, hydrogen is separated from carbon dioxide using PSA. This study shows higher yield than former U.S. DOE and Linde studies. Economic evaluations are performed for optimal planning of constructing domestic hydrogen energy infrastructure based on the proposed glycerol-based hydrogen station.

자동차 제조 및 부품 생산 공급망은 제품의 다양성, 공정의 불확실성, 그리고 납기 요구 변화로 인한 변동성이 생산라인의 효율성과 납기 준수에 큰 영향을 미친다. 본 연구는 차량용 배관 제조에서 발생하는 변동성이 존재하는 parallel machine 스케줄링 문제를 다룬다. 이를 혼합정수계획법과 이산 사건 시뮬레이션으로 구성된 제안 모델로 해결하고자 한다. 혼합정수계획법은 효과적인 상위 스케줄링 대안을 도출하며, 시뮬레이션은 공정 시간의 변동성을 고려하여 스케줄링 대안을 평가한다. 특히, 차량용 배관 제조에서 발생하는 변동성을 작업자의 특성을 반영하여 공정 시간과 설비 셋업 시간을 설정함으로써 시뮬레이션에 반영하였다. 실험 결과, 혼합정수계획법에서 도출한 최적해는 시뮬레이션 평가에서 공정 변동성을 반영한 새로운 강건 해로 대체되었다. 또한 First In First Out, Shortest Process Time과 같은 동적 스케줄링 규칙과 비교하여 제안 모델의 유용성을 확인하였다.

The automotive supply chain is significantly influenced by product variety, process uncertainties, and delivery variability, which impact production efficiency and on-time delivery. This study addresses a parallel machine scheduling problem in vehicle piping manufacturing, incorporating process variability. A hybrid approach combining Mixed Integer Programming (MIP) and Discrete Event Simulation (DES) is proposed. MIP generates promising scheduling solutions, which are evaluated and refined through simulation by accounting for variations in process and setup times influenced by operator characteristics. Experimental results demonstrate that MIP-derived solutions were improved into robust schedules during the simulation process, effectively accommodating process variability. The effectiveness of the proposed model was validated by comparing it with dispatching rules such as First-in-First-Out and Shortest-Process-Time.

Standard acceptance sampling plans models the production process as a sequence of independent identically distributed Beruoulli random variables. However, the quality of items sampled sequentially from an ongoing production process often exhibits statistical dependency that is not accounted for in standard acceptance sampling plans. In this paper, a dependent production process is modelled as an ARMA process and as a two-state Markov chain. A simulation study of each is performed. A comparison of the probability of acceptance is done for the simulation method and for the approximation method.

열화학적인 수소 생산 공정 중 하나인 S-I Cycle은 요오드와 황을 이용한 수소 생산 공정으로써 물 분자로부터 수소 분자를 얻어내는 순환 공정이다. 수소 생산 공정에 열을 공급하고자 하는 초고온 원자로(VHTR; Very High Temperature Reactor)는 원자로에서 수소 생산 공정으로 방사능 없이 안전하게 열을 전달하기 위하여 중간열교환기(IHX; Intermediate Heat Exchanger)가 필요하다. 본 연구에서는 수소 생산공정과 초고온 원자로간의 중간 열교환 공정을 모사하여 운전압력 및 작동 유체의 변화에 따른 중간 열교환기의 효율을 계산하고 가장 경제적인 중간 열교환기를 설계하기 위한 공정 조건을 도출하였다.

SI Cyclic process is one of the thermochemical hydrogen production processes using iodine and sulfur for producing hydrogen molecules from water. VHTR (Very High Temperature Reactor) can be used to supply heat to hydrogen production process, which is a high temperature nuclear reactor. IHX (Intermediate Heat Exchanger) is necessary to transfer heat to hydrogen production process safely without radioactivity. In this study, the strategy for the optimum design of IHX between SI hydrogen process and VHTR is proposed for various operating pressures of the reactor, and the different cooling fluids. Most economical efficiency of IHX is also proposed along with process conditions.

Manufacturing companies should perform process planning and its evaluation concurrently with new product developments so that they can be highly competitive in the modern market. Process planners should make decisions in the manner of concurrent and collaborative engineering in order to reduce the manufacturing preparation time and cost when developing new products. Automated generation of analysis models from the integrated database, which contains process and material information, reduces time to prepare analyses and makes the models reliable. In this research, we developed a web-based system for concurrent and collaborative system for production flow analysis, using web, database, and simulation technology. An integrated database is designed to automatically generate analysis models from process and material plans without reworking the data. This system enables process planners to evaluate their decision fast and share their opinions with others easily. With this system, it is possible to save time and cost for assembly process and material planning, and reliability of process plans can be improved

A capacity calculation and process analysis is a very important part for the entire ship production planning. Ship’s production plan is set up with a concept that the product is produced based on the capacity achievable by the processes while general manufacturing sets up the production plan based on product lead-time. Therefore, in case the calculation of capacity for each process of shipbuilding yard is different from actual conditions, a series of production plan ? ship table composition, dual schedule plan and execution schedule plan, etc - may accumulate errors, lose reliability of planning information and cause heavy cost deficit in this course. In particular, in case of new shipbuilding yard, stocks between processes are built up and half blocks are not supplied in timely manner, and that is sometimes due to the clumsiness of the operator but it is more often because of the capacity to execute each process is not logically calculated. Therefore, this paper presents the process to calculate the assembly lead-time and assembly process capacity for shipbuilding yard assembly factory. This paper calculated the block type for calculation of assembly lead time based on block DAP(detailed assembly procedure), and introduced cases that calculate production capacities by assembly surface plate by considering the surface plate occupied area of the blocks that change depending on assembly field area and assembly processes through assembly simulation.