• 제목/요약/키워드: cell factory

검색결과 105건 처리시간 0.026초

김치공장의 배추 절임폐수를 이용한 효모 균체 생산 (Production of Yeast Biomass from Waste Brine of Kimchi Factory)

  • 최민호;박연희
    • Applied Biological Chemistry
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    • 제41권5호
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    • pp.331-336
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    • 1998
  • 김치공장에서 배출되는 배추 절임폐수를 이용한 효모 균체 생산을 위하여 절임폐수에서 생육이 우수한 Pichia guilliermondii A9를 분리하여 생육특성을 조사하였다. 이 균주는 pH 3부터 pH 8 범위에서 생육이 양호하고 NaCl의 농도가 10%까지는 생육저해를 받지 않는 내염성을 나타내었으며 24시간 배양 후 절임폐수의 BOD가 약 90% 제거되었다. 그러나, 절임폐수에서는 생산된 균체량이 낮은 편이었으므로 P. guilliermondii A9의 생육 증가를 위하여 절임폐수에 암모니움염, 인산염 및 철, 망간 등을 첨가하였으나 효과를 얻지 못하였다. 한편, 김치공장에서 다량 발생되어 문제가 되고 있는 배추 쓰레기의 착즙액을 첨가한 결과 첨가량에 비례하여 균체량이 크게 증가하여 배추 쓰레기와 절임폐수를 동시에 효모 균체 생산의 기질로 이용할 수 있는 가능성을 보여 주었다.

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A PETRI NET-BASED CELL CONTROLLER FOR A FLEXIBLE MANUFACTURING SYSTEM

  • Janssens, Gerrit-K.;Tabucanon, Mario-T.
    • Management Science and Financial Engineering
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    • 제3권1호
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    • pp.15-38
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    • 1997
  • In a flexible manufacturing system, a cell controller is able to identify and evaluate a number of alternative decisions to meet the objectives set by the factory level controller. In this paper, a Petri net-based cell controller is presented to accomplish this task. A static model is developed by using the Integrated Computer Aided Definition(IDEF0) method to represent clear functional relationships among the objects of the system. Based on the static model, two Petri net models are developed for the physical part flow and for the information flow. Multiple decision alternatives are generated from the physical part flow model and are synchronized with the information flow model for execution of the selected alternative.

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공장 자동화에 적용되는 Neural Networks의 기술동향 및 전망 (Technical Trend and View of Neural Networks for Factory Automation)

  • 이진섭;하재헌
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1991년도 하계학술대회 논문집
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    • pp.892-895
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    • 1991
  • In this study, it has been refering that disposal of rapidly international information society and artificial intelligence neural networks of the vanguard software technology. This paper is human brain cell structure modeling in order to neural networks realization for order language and computer embodiment of parallel processing. And it is shown that the usage extreme of time saving and correct judgement for business services, Overviews some of the currently popular neural networks architectures, and describes the current state of the neural networks technology.

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FMC 시스템의 스케쥴링 및 시뮬레이션 (Scheduling and simulation for FMC systems)

  • 서기성;이노성;안인석;박승규;이규호;우광방
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.370-375
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    • 1992
  • This paper deals with the scheduling and simulation for FMC(Flexible Manufacturing Cells). In order to achieve CIM, there is a critical need to link factory level and machine level. The primary functions performed by this link for all jobs issued to the shop floor and cell include short-term scheduling and dynamic operational scheduling. Here, hierarchical control structure is introduced to define these functions. And Intelligent scheduling through expert module is adopted for efficiency of FMC operation. Computer simulation reveals that expert scheduling method is better than heuristics in various performance index.

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생산시스템에서의 물류시스템 기술분석 (Technical Analysis of Material Handling System in Production System)

  • 김동훈
    • 연구논문집
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    • 통권26호
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    • pp.57-68
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    • 1996
  • Recently, a lot of researches on material handling system are actively studied for realization of FA(Factory Automation), FMS(Flexible Manufacturing System) and CIM(Computer Integrated Manufacturing). Management and application of material handling system are precondition technologies playing an important part in integration of production system including manufacturing. assemhly, and inspection cell. In this paper, the general situation of automation technology is investigated and technology level is analyzed in comparision with an advanced country. And the operation trend and part of material handling system including AS/RS, AGV, and Conveyor, are studied. And also technologies related to material handling system in the inside and outside of the country are studied.

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경제적인 기계셀-부품군 형성 방법에 관한 연구 (On the economic formation of machine cell-part family)

  • 김진용
    • 산업경영시스템학회지
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    • 제16권28호
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    • pp.203-209
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    • 1993
  • In Factory Automation environments such as FMS, the formation of machine-part based on GT should be considered. The purpose of this study is to develop a economic heuristic algorithm which considers various elements such as unit processing time, subcontract cost, and functional operation cost, machine processing capacity etc. When this proposed approach is applied to the real situation expected benefits are as follows: the reduction of production lead time work in process, labor force, tooling, rework and scrap, setup time, order time delivery, and paper work, etc.

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The Analysis of Chromosome Aberration in Workers Exposed to Low Level Benzene

  • Kim, Yangjee;Cho, Yoon-Hee;Chung, Hai-Won
    • 한국독성학회:학술대회논문집
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    • 한국독성학회 2003년도 추계학술대회
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    • pp.147-147
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    • 2003
  • Human exposure to benzene is derived occupationally from the petrochemical and petroleum refining industries. This study was carried out to find whether the frequencies of chromosome aberrations in workers exposed to low level benzene in a petroleum factory were elevated compared to non-exposed workers.(omitted)

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이산 제조 공정에서의 수율 향상을 위한 분석 프레임워크의 개발에 관한 연구 (A Study on analysis framework development for yield improvement in discrete manufacturing)

  • 송치욱;노금종;박동진
    • 한국정보시스템학회지:정보시스템연구
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    • 제26권2호
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    • pp.105-121
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    • 2017
  • Purpose It is a major goal to improve the product yields during production operations in the manufacturing industry. Therefore, factory is trying to keep the good quality materials and proper production resources, also find the proper condition of facilities and manufacturing environment for yields improvement. Design/methodology/approach We propose the hybrid framework to analyze to dataset extracted from MES. Those data is about the alarm information generated from equipment, both measurement and equipment process value from production and cycle/pitch time measured from production data these covered products during production. We adapt a data warehousing techniques for organizing dataset, a logistic regression for finding out the significant factors, and a association analysis for drawing the rules which affect the product yields. And then we validate the framework by applying the real data generated from the discrete process in secondary cell battery manufacturing. Findings This paper deals with challenges to apply the full potential of modeling and simulation within CPPS(Cyber-Physical Production System) and Smart Factory implementation. The framework is being applied in one of the most advanced and complex industrial sectors like semiconductor, display, and automotive industry.

The Role of High-throughput Transcriptome Analysis in Metabolic Engineering

  • Jewett, Michael C.;Oliveira, Ana Paula;Patil, Kiran Raosaheb;Nielsen, Jens
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제10권5호
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    • pp.385-399
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    • 2005
  • The phenotypic response of a cell results from a well orchestrated web of complex interactions which propagate from the genetic architecture through the metabolic flux network. To rationally design cell factories which carry out specific functional objectives by controlling this hierarchical system is a challenge. Transcriptome analysis, the most mature high-throughput measurement technology, has been readily applied In strain improvement programs in an attempt to Identify genes involved in expressing a given phenotype. Unfortunately, while differentially expressed genes may provide targets for metabolic engineering, phenotypic responses are often not directly linked to transcriptional patterns, This limits the application of genome-wide transcriptional analysis for the design of cell factories. However, improved tools for integrating transcriptional data with other high-throughput measurements and known biological interactions are emerging. These tools hold significant promise for providing the framework to comprehensively dissect the regulatory mechanisms that identify the cellular control mechanisms and lead to more effective strategies to rewire the cellular control elements for metabolic engineering.

태양전지 전력을 이용한 316L강의 전해연마 폐액 중 중금속 성분의 회수 (Recovery of Heavy-Metallic Components from a Waste Electro-polishing Solution of 316L Steel by the Solar Cell Electricity)

  • 김기호;장정목
    • 한국표면공학회지
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    • 제42권1호
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    • pp.53-57
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    • 2009
  • Recovery of heavy-metallic component from a waste solution of factory was undertaken by the solar cell electricity. The solution was obtained from an electrolytic etching process of 316L stainless steel. The electrolysis of the solution for recovery of heavy metallic components was made with platinum plated titanium mesh anode and copper plate cathode. Analysis for the solution and electro-winned materials were made by EDS, XRD and SEM. Iron, chromium, and sulfur components were recovered on the cathode from the solution. Result of EDS analysis for the electro-winned materials revealed that some metal oxide were contained in the recovered material. The recovered materials were expected to have metallic form only by the electrolysis, but metal compounds were contained because of weak solar cell power. Nickel and manganese component in the solution doesn't recovered by this electrolysis process, but they made a sludge with phosphoric acid in the solution.