• Title/Summary/Keyword: 생산최적화

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Manufacturing Line Optimization Using Artificial Neural Networks (신경회로망을 이용한 생산라인 최적화)

  • 허철회;박진희;정환묵
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.05a
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    • pp.79-82
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    • 2001
  • 생산품을 제조하는 과정에서 처리 시간에 따른 제조 기계를 최적의 수로 결정함으로서 공정 과정에서 비효율적인 제조 기계의 활용 비율을 줄일 수 있으며, 이는 공정 과정의 비용을 최소화할 수 있는 방법 중에 하나이다. 본 논문에서는 핸드폰에 사용되는 여러 가지 모델의 배터리를 생산하는 공장의 작업 과정을 조사하고, 일정하기 않은 처리 시간과 작업에 필요한 제조 기계를 조사하였다. 이를 인공 신경망(ANN)의 역전파 알고리즘을 이용하여 생산현장에서 효율적인 처리 시간과 공정 과정에서 생산에 적합한 기계의 수를 최적화시키는 방법을 제안한다.

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Applications of Mathematical Optimization Method for Chemical Industries (화학 산업에서 수학적 최적화 기법을 적용한 사례)

  • Kim, Eun-Yong;Heo, Soon-Ki;Lee, Kyu-Hwang;Lee, Hokyung
    • Korean Chemical Engineering Research
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    • v.58 no.2
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    • pp.209-223
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    • 2020
  • Executions of SCM in a chemical company of which divisions produce petrochemicals, compounds, batteries, IT material and medicine directly affect their own profit. Execution level of SCM or optimization is very important. This work presents activities of SCM and optimization of inefficient issues in several industrial divisions using mathematical optimization method. The meaning is not only academic research but also making a useful tool which active partner deals with in his work. It is explained how to do beforehand and afterward optimization problem. The benefits are mentioned in the sections. The first of examples would be cover supply plan optimization, optimal profit business plan, and scheduling of a stretching process of polarizer based on minimizing raw material loss in polarizer production. The second example would be cover the optimization of production/packaging plans to maximize productivity of Poly Olefin processes, and the third example is minimization of transition loss in the production of battery electrodes. The fourth example would be cover scheduling of vessel approaching to berth. Because transportation of large portion of raw material and products of petrochemical industry is dealt with vessel, scheduling of vessel approaching to berth is important at the shore of large difference of tide. The final example would be scheduling problem to minimization of change over time of ABS semi products.

Response Surface Optimization of Fermentation Parameters for Citric Acid Production in Solid Substrate Fermentation (고체발효에서 반응표면분석법을 이용한 구연산 생산 최적화)

  • Kim, Jin-Woo
    • Korean Chemical Engineering Research
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    • v.50 no.5
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    • pp.879-884
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    • 2012
  • In this present study, Aspergillus niger NRRL 567 was cultivated on an inert support material and the effects of various fermentation parameters including temperature, nutrient solution pH, inoculation level, and moisture content were observed and optimized by one-factor-at-a-time (OFAT) and response surface methodology (RSM), sequentially. It was found that the incubation temperature of $30^{\circ}C$ with 75% moisture content, nutrient solution pH of 7.1 and inoculation level of $4.0{\times}10^6$ spores/ml were the most favorable. Again, fermentation parameters were optimized using RSM. The determined optimum condition is $26.5^{\circ}C$, pH 9.9, 75.1%, and $6.0{\times}10^6$ spores/ml. Under this optimized condition, A. niger NRRL 567 produced 118.8 g citric acid/kg dry peat moss at 72 hr. Maximum citric acid production of optimized condition by RSM represented a 1.6-fold increase compared to that obtained from control experiment.

A Study on Transportation Optimization Problem using Coopr (Coopr를 이용한 운송 최적화 해법)

  • Ro, cheul woo
    • Proceedings of the Korea Contents Association Conference
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    • 2012.05a
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    • pp.187-188
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    • 2012
  • 운송(transportation) 문제는 잘 알려져 있는 최적화 문제로 공급자인 생산지에서 소비자인 대리점으로 물건을 최소의 비용으로 운송시키는 문제이다. Coopr는 쉽고도 강력한 언어로 최근 각광받고 있는 파이썬 언어로 구현되었으며 최적화 모델의 해를 구할 수 있는 공용 소프트웨어 패키지이다. 본 논문에서는 몇몇 생산지에서 여러 대리점으로 물건을 운송시키는 최적화 문제를 Coopr의 한 부분인 pyomo를 이용하여 모델을 개발하고 최적화 해를 구할 수 있는 방법을 소개 한다.

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Optimization of Fermentation Conditions for the Production of Citric Acid by Aspergillus niger NRRL 567 Grown on Agricultural by Products (목질계 농부산물을 이용한 고체발효에서 발효조건 최적화를 통한 구연산 생산 증대)

  • Kim, Jin-Woo
    • Korean Chemical Engineering Research
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    • v.52 no.3
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    • pp.402-406
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    • 2014
  • The present study was carried out to evaluate the potential of lignocellulosic byproducts for the production of citric acid through solid-state fermentation by Aspergillus niger NRRL 567. A sequential optimization based on one-factor-at-a-time method was applied to optimize fermentation conditions and media constituents. The results obtained from the optimization indicated that $30^{\circ}C$, 70% moisture content, 0.5~1.0 mm particle size, pH 5.5 and 4% methanol were found to be the optimum condition at 72 hr fermentation. The application the optimization resulted in an improvement of maximum citric acid production from 74.5 to 206.0 g/kg dry material (DM) from wheat straw. The optimal condition was used to produce citric acid from A. niger grown on different lignocellulosic byproducts, including wheat straw, corn stover and peat moss. A. niger produced the highest citric acid levels of 231.8, 213.8 and 240.2 g/kg DM at 120 hr fermentation, respectively.

Short-term Scheduling Optimization for Subassembly Line in Ship Production Using Simulated Annealing (시뮬레이티드 어닐링을 활용한 조선 소조립 라인 소일정계획 최적화)

  • Hwang, In-Hyuck;Noh, Jac-Kyou;Lee, Kwang-Kook;Shin, Jon-Gye
    • Journal of the Korea Society for Simulation
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    • v.19 no.1
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    • pp.73-82
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    • 2010
  • Productivity improvement is considered as one of hot potato topics in international shipyards by the increasing amount of orders. In order to improve productivity of lines, shipbuilders have been researching and developing new work method, process automation, advanced planning and scheduling and so on. An optimization approach was accomplished on short-term scheduling of subassembly lines in this research. The problem of subassembly line scheduling turned out to be a non-deterministic polynomial time problem with regard to SKID pattern’s sequence and worker assignment to each station. The problem was applied by simulated annealing algorithm, one of meta-heuristic methods. The algorithm was aimed to avoid local minimum value by changing results with probability function. The optimization result was compared with discrete-event simulation's to propose what pros and cons were. This paper will help planners work on scheduling and decision-making to complete their task by evaluation.

Methanol을 원료로 한 미생물 달백질 생산의 최적화

  • 김정희;유두영
    • Proceedings of the Korean Society for Applied Microbiology Conference
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    • 1975.12a
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    • pp.180.2-180
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    • 1975
  • Methanol을 유일한 탄소원으로 하여 생육할 수 있는 박테리아, Methanomonas sp.를 국내에서 토양으로부터 분리하였다. 이 군주를 이용하여 미생물 단백 생산을 위하여 연속 발효 방법을 연구 검토하였다. 연속 발효 조작을 이용하여 미생물 균체 생산율을 최대로 할 수 있는 긍정의 최적화가 연구되었다. 이에 필요한 이론과 실험방법 그리고 실험 결과가 검토될 것이다.

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Optimization of photobiological H2 production using Thiocapsa roseopercisina (광합성 홍색 유황 세균 Thiocapsa roseopercisina에 의한 수소생산 최적화)

  • Kim, Mi-Sun;Lee, Yu-Jin;Lee, Dong-Yeol
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.782-786
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    • 2009
  • Thiocapsa roseopersicina NCIB 8347은 purple sulfur bacteria이며 광합성종속영양 조건에서는 nitrogenase 효소계가 유도되어 질소를 고정하며, 수소를 발생한다. 또한 광합성독립영양 조건에서는 hydrogenase 효소계가 유도되어 3~4개 종류의 특성이 다른 hydrogenase가 membrane에 결합되어 있거나, cytoplasma에 존재하며, 이 중의 일부는 산소농도와 온도의 상승에도 비교적 안정하다. 본 연구에서는 T. roseopersicina NCIB 8347이 광합성종속영양 조건에서 수소를 생산할 수 있는 제반 배양조건을 최적화하고, nitrogenase와 일부 hydrogenase역가를 측정하여 purple non-sulfur bacteria, Rhodobacter sphaeroides KD131의 nitrogenase와 비교하여 수소생산을 최적화하였다. 할로겐램프를 8-9 $Klux/m^2$로 조사할 때와 배양온도 $26{\sim}30^{\circ}C$, 배양시간 72시간에서 균체 성장과 수소생산이 가장 높았다. T. roseopersicina NCIB 8347는 광합성 독립영양, 종속영양 조건에서 모두 성장 할 수 있었다.

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줌인 - 아그파코리아(주) 잉크 최적화솔루션 Inksave & OptiInk

  • Jo, Gap-Jun
    • 프린팅코리아
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    • v.13 no.11
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    • pp.72-75
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    • 2014
  • 경기불황이 지속됨에 따라 인쇄사가 느끼는 고정비용에 대한 부담감도 점점 더 커지고 있다. 이에 인쇄인들은 생산성을 확대하고 생산 비용을 절감하기 위한 방법을 강구하고 있다. 잉크 비용을 25% 이상 절감할 수 있는 잉크 최적화 솔루션은 이러한 요구에 부응하는 유력한 대안의 하나다.

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Optimization of Medium for Protease Production by Enterobacteriaceae sp. PAMC 25617 by Response Surface Methodology (반응표면분석법을 통한 Enterobacteriaceae sp. PAMC 25617의 protease 생산배지 최적화)

  • Kim, Hyun-do;Yun, Chul-Won;Choi, Jong-il;Han, Se Jong
    • Korean Chemical Engineering Research
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    • v.53 no.4
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    • pp.524-529
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    • 2015
  • This study was conducted to optimize the medium composition for cold-adaptive protease production of Enterobacteriaceae sp. by response surface methodology (RSM). Yeast extract, and TritonX-100 were identified as the significant factors affecting protease from one-factor-at-a-time method. RSM studies for optimizing protease production of Enterobacteriaceae sp. have been carried out for three parameters including yeast extract concentration, TritonX-100 concentration, and culture pH. These significant factors were optimized as 6.690 g/L yeast extract, 0.018 g/L Triton$^{TM}$ X-10, and pH 6.677. The experimentally obtained protease activity was 8.03 U /L, and it became 1.5-fold increase before optimization.