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자기조직화 신경망을 이용한 셀 형성 문제의 기계 배치순서 결정 알고리듬
전용덕(Yong-Deok Jeon) 한국산업경영시스템학회 2019 한국산업경영시스템학회지 Vol.42 No.2
Self Organizing Map (SOM) is a neural network that is effective in classifying patterns that form the feature map by extracting characteristics of the input data. In this study, we propose an algorithm to determine the cell formation and the machine layout within the cell for the cell formation problem with operation sequence using the SOM. In the proposed algorithm, the output layer of the SOM is a one-dimensional structure, and the SOM is applied to the parts and the machine in two steps. The initial cell is formed when the formed clusters is grouped largely by the utilization of the machine within the cell. At this stage, machine cell are formed. The next step is to create a flow matrix of the all machine that calculates the frequency of consecutive forward movement for the machine. The machine layout order in each machine cell is determined based on this flow matrix so that the machine operation sequence is most reflected. The final step is to optimize the overall machine and parts to increase machine layout efficiency. As a result, the final cell is formed and the machine layout within the cell is determined. The proposed algorithm was tested on well-known cell formation problems with operation sequence shown in previous papers. The proposed algorithm has better performance than the other algorithms.
엔진블럭 가공라인 초기설계안 검증을 위한 시뮬레이션 사례연구
문덕희,성재헌,조현일 한국시뮬레이션학회 2003 한국시뮬레이션학회 논문지 Vol.12 No.3
The major components of an engine are engine block (or cylinder block), cylinder head, crank shaft, connecting rod and cam shaft. Thus the engine shop usually consists of six sub-lines, five machining lines and one assembly line. Flow line is the typical concept of layout for machining these parts, especially for engine block. In order to design an engine block machining line, several factors should be considered such as yearly production target, working hours, machines, tools, material handling equipments and so on. If the designers of manufacturing line were unaware of some factors those would be influenced on the system performance, it would make greater problems in the phase of mass production. Therefore the initial design of engine block machining line should be verified carefully. Simulation is the most powerful tool for analyzing the initial layout. This paper introduces the major factors those should be considered for designing the machining line and their effects on the system performance. 3D simulation models are developed with QUEST. Using the simulation model developed the initial layout is analyzed, and we suggest some ideas for improvement.
Wei Sun,Junzhou Huo,Jing Chen,Zhen Li,Xu Zhang,Li Guo,Haifeng Zhao,Yu Zhao 대한기계학회 2011 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.25 No.2
In rock TBM design the disc cutters’ layout design of the full-face rock tunnel boring machine (TBM) is one of the key technologies. However, there are few published papers in literatures for various reasons. In this paper, based on the engineering technical requirements and the corresponding cutter head’s structure design requirements, a nonlinear multi-objective disc cutters’ layout mathematical model with complex constraints and the corresponding multi-stage solution strategy are presented, in which the whole disc cutters’ layout design process is decomposed into the disc cutters’ spacing design and the disc cutters’ plane layout design. A numerical simulation method based on the FEM theory is adopted to simulate the rock chipping process induced by three TBM disc cutters to determine the optimal cutter spacing. And a cooperative coevolutionary genetic algorithm (CCGA) is adopted to solve the disc cutters’ plane layout design problem. Finally, a disc cutters’ layout design instance of the TBM is presented to demonstrate the feasibility and effectiveness of the proposed method. The computational results show that the proposed method can be used to solve the disc cutters’ layout design problem of the TBM and provide various layout schemes within short running times for the engineers to choose from.
Junzhou Huo,Wei Sun,Jing Chen,Pengcheng Su,Liying Deng 대한기계학회 2010 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.24 No.2
Improving of the quality of the disc cutters’ plane layout design of the full-face rock tunnel boring machine (TBM) is the most effective way to improve the global performance of a TBM. The plane layout design of disc cutters contains multiple complex engineering technical requirements and belongs to a multi-objective optimization problem with multiple nonlinear constraints. Based on analysis of the technical requirements of the plane layout problem, an optimizing mathematical model was built. To obtain a set of design schemes for engineers to choose from, a multi-objective genetic algorithm (MOGA) was applied to carry out the optimization of the mathematical model. A constraint-domination principle was utilized to handle the constraints, and a nondominated sorting method was adopted to obtain Pareto solutions. Simulation results showed that the proposed method was efficient and accurate in obtaining the Pareto layout solutions.
결정트리와 전문가시스템을 이용한 BIM설계 공간용도 지식화 방안
권오철,조주원 한국CDE학회 2019 한국CDE학회 논문집 Vol.24 No.2
This study is to intellectualize the existing building designs by extracting experience knowledge from BIM data not from human experts in order to secure expert knowledge in measuring the space layout quality. We extract expert rules from a decision tree generated by machine learning the space information in BIM data. This allows us to generate quantitative presentation of expert knowledge which has no concrete expression. Our study shows that it is possible to obtain rules only from data without any help of architects and overcome the challenge of securing their experience and knowledge in designs. This result suggests a way of measuring and evaluating the qualititive and logical space allocation which has been a challanging issue in the industry.
결정트리와 전문가시스템을 활용한 BIM 건축설계의 공간용도 평가방안
권오철(Ocheol Kwon),조주원(Joowon Cho) (사)한국CDE학회 2021 한국CDE학회 논문집 Vol.26 No.1
This study is to extract and express the space function expert knowledge embedded in existing house designs in the form of rules and suggest a way of applying these rules to measure the knowledge level in other house designs. For this purpose, we utilize BIM data to express the space layout into J-Graph and extract the space features related to functionality or usage. Machine learning is applied to these features to get decision trees, from which series of rules are generated. These rules are used to anticipate the space usage for test house designs. We interpret the resulting accuracy to be the level of knowledge reflected to a house design and suggest this could be a way of assessing the space layout plans of buildings.
셀룰러제조시스템의 셀 형성을 위한 그룹테크 놀러지에 관한 연구
이용균(Yong-Kyun Lee) 한국경영사학회 2017 經營史學 Vol.83 No.-
본 연구는 소비자들의 다양한 욕구를 충족시키는 동시에 생산성을 높이기 위해 개발된 설비배치방법인 셀룰러배치를 위해 가장 대표적으로 사용되는 기법인 그룹테크놀러 지에 대한 지난 삼십여년간의 연구동향을 살펴본 연구이다. 본 논문의 연구대상은 셀룰러제조시스템에서의 셀 형성기법과 그룹테크놀러지에 관하여 발표된 연구들이다. 국내의 학술지에서는 이들에 대한 연구들을 거의 찾아볼 수 없어 외국 학술지를 중심으로 셀 형성기법의 유형별로 분류하여 살펴보았고, 이들 셀 형 성기법들이 가지고 있는 한계점들을 고찰하였다. This study brings the attention towards the need for designing the cellular manufacturing system(CMS) for optimal result as most of the past research work has been focused to the clustering of machines and parts into cells and part families. CMS is an important application of group technology(GT), a manufacturing philosophy in which parts are formed into part families based similar processing requirements rather than similar functional aspects and machines are allocated into machine cells to take advantage of the similarities among parts in manufacturing. In this study various techniques and methodology about GT have been briefly reviewed with their salient features. Most of the published works on GT pay very little attention towards production planning and control activities of CMS.