일반학술발표초록 : 세포내 binding protein 과 membrane 의 지방산 이동에서의 역할

김혜경 and Judith Storch 한국영양학회 1996 춘계학술대회초록 Vol.- No.-

Mecahnism of Fatty acid transfer from FABP to membranes

Hye Kyung Kim and Judith Storch 한국영양학회 1992 춘계심포지움 및 발표논문 초록 Vol.1992 No.-

Predictiong Due Dates under Various Combinations of Scheduling Rules in a Wafer Fabrication Factory

D. Y. Sha,Richard Storch,Cheng-Hsiang Liu 대한산업공학회 2003 Industrial Engineeering & Management Systems Vol.2 No.1

Predicting Due Dates under Various Combinations of Scheduling Rules in a Wafer Fabrication Factory

D. Y. Sha,Richard Storch,Cheng-Hsiang Liu 대한산업공학회 2003 Industrial Engineeering & Management Systems Vol.2 No.1

In a wafer fabrication factory, the completion time of an order is affected by many factors related to the specifics of the order and the status of the system, so is difficult to predict precisely. The level of influence of each factor on the order completion time may also depend on the production system characteristics, such as the rules for releasing and dispatching. This paper presents a method to identify those factors that significantly impact upon the order completion time under various combinations of scheduling rules. Computer simulations and statistical analyses were used to develop effective due date assignment models for improving the due date related performances. The first step of this research was to select the releasing and dispatching rules from those that were cited so frequently in related wafer fabrication factory researches. Simulation and statistical analyses were combined to identify the critical factors for predicting order completion time under various combinations of scheduling rules. In each combination of scheduling rules, two efficient due date assignment models were established by using the regression method for accurately predicting the order due date. Two due date assignment models, called the significant factor prediction model (SFM) and the key factor prediction model (KFM), are proposed to empirically compare the due date assignment rules widely used in practice. The simulation results indicate that SFM and KFM are superior to the other due date assignment rules. The releasing rule, dispatching rule and due date assignment rule have significant impacts on the due date related performances, with larger improvements coming from due date assignment and dispatching rules than from releasing rules.

Predicting Due Dates under Various Combinations of Scheduling Rules in a Wafer Fabrication Factory

Sha, D.Y.,Storch, Richard,Liu, Cheng-Hsiang Korean Institute of Industrial Engineers 2003 Industrial Engineeering & Management Systems Vol.2 No.1

In a wafer fabrication factory, the completion time of an order is affected by many factors related to the specifics of the order and the status of the system, so is difficult to predict precisely. The level of influence of each factor on the order completion time may also depend on the production system characteristics, such as the rules for releasing and dispatching. This paper presents a method to identify those factors that significantly impact upon the order completion time under various combinations of scheduling rules. Computer simulations and statistical analyses were used to develop effective due date assignment models for improving the due date related performances. The first step of this research was to select the releasing and dispatching rules from those that were cited so frequently in related wafer fabrication factory researches. Simulation and statistical analyses were combined to identify the critical factors for predicting order completion time under various combinations of scheduling rules. In each combination of scheduling rules, two efficient due date assignment models were established by using the regression method for accurately predicting the order due date. Two due date assignment models, called the significant factor prediction model (SFM) and the key factor prediction model (KFM), are proposed to empirically compare the due date assignment rules widely used in practice. The simulation results indicate that SFM and KFM are superior to the other due date assignment rules. The releasing rule, dispatching rule and due date assignment rule have significant impacts on the due date related performances, with larger improvements coming from due date assignment and dispatching rules than from releasing rules.

Explosion analyses of the enclosed cargo handling spaces in oil tankers and FPSOs

Gean Rocha,Duo Ok,Rafael Brod Storch 한국마린엔지니어링학회 2020 한국마린엔지니어링학회지 Vol.44 No.2

Impact of Employing Mass Customization in Shipbuilding

권치명,임상규,스톨치,Kwon, Chi-Myung,Lim, Sang-Gyu,Storch, R.L. The Korea Society for Simulation 2012 한국시뮬레이션학회 논문지 Vol.21 No.1

대량 맞춤화 생산에서 목표 중 하나는 생산 비용이나 제품 인도 스케줄을 크게 변화시키지 않고 특정 고객의 요구를 만족시키는 생산을 달성하는 것이다. 조선 항공과 같은 대형 조립-생산 산업에서의 맞춤화는 이에 따른 부품이나 또는 부품의 중간조립품인 모듈의 변화를 가져오게 된다. 본 연구는 조선 분야에서의 사례 연구를 통하여 고객의 맞춤화에 따른 생산 스케줄의 변화가 선박 인도에 미치는 영향을 분석하고자 한다. 대단위 조립 생산에서 대량 맞춤화는 맞춤화의 요구 수준에 따라 엔지니어링 및 조립-생산 시간이 변화한다. 본 연구는 조선 산업에서 처음으로 대량 맞춤화를 수행하는 생산 방안을 제안하고 이론적조선 생산 과정을 간략히 기술한 시뮬레이션 모형을 통하여 다양한 수준에서의 대량 맞춤화가 선박 인도 일정에 어떠한 영향을 미치는가를 평가하였다. One of the goals of mass customization is to permit changes in the product to meet specific customer requirements without substantially impacting the cost or delivery schedule. In large assembly manufacturing industries, such as shipbuilding and commercial airplane production, customization takes place by changing components and/or modules, sometimes called interim products. Using shipbuilding as a case study, it is possible to study the impact of such changes using mass customization principles on the schedule. In large assembly manufacturing, mass customization changes would cause changes in engineering time and production time, based on the amount of change required by the customization. This work first proposes a structure for implementing mass customization in shipbuilding and then uses simulation of a simplified, theoretical shipbuilding process to evaluate the impacts of various levels of change on delivery performance.

Factor-Reduced Human Induced Pluripotent Stem Cells Efficiently Differentiate into Neurons Independent of the Number of Reprogramming Factors

Hermann, Andreas,Kim, Jeong Beom,Srimasorn, Sumitra,Zaehres, Holm,Reinhardt, Peter,Schö,ler, Hans R.,Storch, Alexander Hindawi Publishing Corporation 2016 Stem cells international Vol.2016 No.-

<P>Reprogramming of somatic cells into induced pluripotent stem cells (iPSCs) by overexpression of the transcription factors OCT4, SOX2, KLF4, and c-Myc holds great promise for the development of personalized cell replacement therapies. In an attempt to minimize the risk of chromosomal disruption and to simplify reprogramming, several studies demonstrated that a reduced set of reprogramming factors is sufficient to generate iPSC. We recently showed that a reduction of reprogramming factors in murine cells not only reduces reprogramming efficiency but also may worsen subsequent differentiation. To prove whether this is also true for human cells, we compared the efficiency of neuronal differentiation of iPSC generated from fetal human neural stem cells with either one (OCT4; hiPSC<SUB>1F-NSC</SUB>) or two (OCT4, KLF4; hiPSC<SUB>2F-NSC</SUB>) reprogramming factors with iPSC produced from human fibroblasts using three (hiPSC<SUB>3F-FIB</SUB>) or four reprogramming factors (hiPSC<SUB>4F-FIB</SUB>). After four weeks of coculture with PA6 stromal cells, neuronal differentiation of hiPSC<SUB>1F-NSC</SUB> and hiPSC<SUB>2F-NSC</SUB> was as efficient as iPSC<SUB>3F-FIB</SUB> or iPSC<SUB>4F-FIB</SUB>. We conclude that a reduction of reprogramming factors in human cells does reduce reprogramming efficiency but does not alter subsequent differentiation into neural lineages. This is of importance for the development of future application of iPSC in cell replacement therapies.</P>

Differentiation efficiency of induced pluripotent stem cells depends on the number of reprogramming factors.

L?hle, Matthias,Hermann, Andreas,Glass, Hannes,Kempe, Andrea,Schwarz, Sigrid C,Kim, Jeong Beom,Poulet, Claire,Ravens, Ursula,Schwarz, Johannes,Sch?ler, Hans R,Storch, Alexander AlphaMed Press 2012 Stem cells Vol.30 No.3

<P>Reprogramming of somatic cells into induced pluripotent stem cells (iPSCs) by retroviral overexpression of the transcription factors Oct4, Sox2, Klf4, and c-Myc holds great promise for the development of personalized cell replacement therapies. In an attempt to minimize the risk for chromosomal disruption and to simplify reprogramming, several studies demonstrated that a reduced set of reprogramming factors is sufficient to generate iPSC, albeit at lower efficiency. To elucidate the influence of factor reduction on subsequent differentiation, we compared the efficiency of neuronal differentiation in iPSC generated from postnatal murine neural stem cells with either one (Oct4; iPSC(1F-NSC) ), two (Oct4, Klf4; iPSC(2F-NSC) ), or all four factors (iPSC(4F-NSC) ) with those of embryonic stem cells (ESCs) and iPSC produced from fibroblasts with all four factors (iPSC(4F-MEF) ). After 2 weeks of coculture with PA6 stromal cells, neuronal differentiation of iPSC(1F-NSC) and iPSC(2F-NSC) was less efficient compared with iPSC(4F-NSC) and ESC, yielding lower proportions of colonies that stained positive for early and late neuronal markers. Electrophysiological analyses after 4 weeks of differentiation identified functional maturity in neurons differentiated from ESC, iPSC(2F-NSC) , iPSC(4F-NSC) , and iPSC(4F-MEF) but not in those from iPSC(1F-NSC) . Similar results were obtained after hematoendothelial differentiation on OP9 bone marrow stromal cells, where factor-reduced iPSC generated lower proportions of colonies with hematoendothelial progenitors than colonies of ESC, iPSC(4F-NSC) , and iPSC(4F-MEF) . We conclude that a reduction of reprogramming factors does not only reduce reprogramming efficiency but may also worsen subsequent differentiation and hinder future application of iPSC in cell replacement therapies.</P>

Direct Reprogramming of Fibroblasts into Neural Stem Cells by Defined Factors

Han, D.,Tapia, N.,Hermann, A.,Hemmer, K.,Hoing, S.,Arauzo-Bravo, Marcos J.,Zaehres, H.,Wu, G.,Frank, S.,Moritz, S.,Greber, B.,Yang, J.,Lee, H.,Schwamborn, Jens C.,Storch, A.,Scholer, Hans R. Cell Press 2012 Cell stem cell Vol.10 No.4

Recent studies have shown that defined sets of transcription factors can directly reprogram differentiated somatic cells to a different differentiated cell type without passing through a pluripotent state, but the restricted proliferative and lineage potential of the resulting cells limits the scope of their potential applications. Here we show that a combination of transcription factors (Brn4/Pou3f4, Sox2, Klf4, c-Myc, plus E47/Tcf3) induces mouse fibroblasts to directly acquire a neural stem cell identity-which we term as induced neural stem cells (iNSCs). Direct reprogramming of fibroblasts into iNSCs is a gradual process in which the donor transcriptional program is silenced over time. iNSCs exhibit cell morphology, gene expression, epigenetic features, differentiation potential, and self-renewing capacity, as well as in vitro and in vivo functionality similar to those of wild-type NSCs. We conclude that differentiated cells can be reprogrammed directly into specific somatic stem cell types by defined sets of specific transcription factors.