• Title/Summary/Keyword: manufacturing technology

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Research Trend of Additive Manufacturing Technology - A=B+C+D+E, add Innovative Concept to Current Additive Manufacturing Technology: Four Conceptual Factors for Building Additive Manufacturing Technology -

  • Choi, Hanshin;Byun, Jong Min;Lee, Wonsik;Bang, Su-Ryong;Kim, Young Do
    • Journal of Powder Materials
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    • v.23 no.2
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    • pp.149-169
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    • 2016
  • Additive manufacturing (AM) is defined as the manufacture of three-dimensional tangible products by additively consolidating two-dimensional patterns layer by layer. In this review, we introduce four fundamental conceptual pillars that support AM technology: the bottom-up manufacturing factor, computer-aided manufacturing factor, distributed manufacturing factor, and eliminated manufacturing factor. All the conceptual factors work together; however, business strategy and technology optimization will vary according to the main factor that we emphasize. In parallel to the manufacturing paradigm shift toward mass personalization, manufacturing industrial ecology evolves to achieve competitiveness in economics of scope. AM technology is indeed a potent candidate manufacturing technology for satisfying volatile and customized markets. From the viewpoint of the innovation technology adoption cycle, various pros and cons of AM technology themselves prove that it is an innovative technology, in particular a disruptive innovation in manufacturing technology, as powder technology was when ingot metallurgy was dominant. Chasms related to the AM technology adoption cycle and efforts to cross the chasms are considered.

An Empirical Study on the Fitness between Manufacturing Technology Strategy and product Structure - Based on Korean Electric and Electronic Industry - (제품구조와 생산기술간의 적합성에 관한 실증적 연구 - 우리나라 전기 . 전자산업을 중심으로 -)

  • 이경환;임재화
    • Proceedings of the Technology Innovation Conference
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    • 1992.12a
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    • pp.119-155
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    • 1992
  • Traditionally, the target of manufaturing technology strategy was derived in a efficiency, cost and productivity. So most activities of the manufacturing brought focus into the engineering technology, equipments and research and improvement of new products to maximize the efficiency. As a resell of this legacy, most of the activities of manufacturing has been executed on the method of quality improvement, development of new equipment to incense the efficiency and the research of materials for new products. Those trends, however overlook the operation management activities which is very important as a assets in competitive strategy. But the market enviornment of morden manufacturing companies faced to the uncertainty and complexity. So they need capability of competition which requires new concept of manufacturing technology strategy to grasp the competitive advantages. In this point of view, this paper deal with the empirical study in korean manufacturing technology strategy of the electic and electronic industry. For the empirical study, check list was made to survey the 98 manufacturing companies. The analysis procedures are as below. First, identify the manufacturing technology group an product structure group by each variable. Second manufacturing technology variables are segmented into product technology and vertical integration, suborder and infrastructure, to analyse the decision making pattern which derive the strategy groups. Third, by the fitness analysis between product structure group and manufacturing technology group, the economic results of a growth rate of sale and a profit rate of sale are tested. In this approach, fitness analysis between product structure group and manufacturing technology group show, as a whole, the no significant values in economic results of the company. But investigating the statistical values shows the trend that econmic result of the complany is somewhat higher when the degree of fitness of manufacturing technology strategy by product structure has high value. Concluding the remarks, the competitive advantages of company lies not in the efficiency of manufacturing systems but in the way of the structure and decision making pattern of the manufacturing system. And the cons i stoney between strategy target and manufacturing technology strategy, and the consistency of manufacturing technology strategy and product structure are the term of competitive advantages.

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Structural Framework to Measure Smart Technology Capability for Smart Factory of Manufacturing Fields

  • CHUI, YOUNG YOON
    • Journal of the Korea Management Engineers Society
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    • v.23 no.4
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    • pp.165-177
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    • 2018
  • Smart technology has been utilized in various fields of all kinds of industries. Manufacturing industry has built its smart technology environment appropriate for its manufacturing fields in order to strengthen its manufacturing performance and competitiveness. The advance of smart technology for manufacturing industry needs to efficiently produce products, and response customer's demands and services in a global industrial environment. The smart technology capability of manufacturing fields is very crucial for the innovative production and efficient operation activities, and for efficient advancement of the manufacturing performance. We have necessitated a scientific and objective method that can gauge a smart technology ability in order to manage and strengthen the smart technology ability of manufacturing fields. This research provides a comprehensive framework that can rationally gauge the smart technology capability of manufacturing fields for effectively managing and advancing their smart technology capabilities. In this research, we especially develop a structural framework that can gauge the smart technology capability for a smart factory of manufacturing fields, with verifying by reliability analysis and factor analysis based on previous literature. This study presents a 13-item framework that can measure the smart technology capability for a smart factory of manufacturing fields in a smart technology perspective.

Discovering Essential AI-based Manufacturing Policy Issues for Competitive Reinforcement of Small and Medium Manufacturing Enterprises (중소 제조기업의 경쟁력 강화를 위한 제조AI 핵심 정책과제 도출에 관한 연구)

  • Kim, Il Jung;Kim, Woo Soon;Kim, Joon Young;Chae, Hee Su;Woo, Ji Yeong;Do, Kyung Min;Lim, Sung Hoon;Shin, Min Soo;Lee, Ji Eun;Kim, Heung Nam
    • Journal of Korean Society for Quality Management
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    • v.50 no.4
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    • pp.647-664
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    • 2022
  • Purpose: The purpose of this study is to derive major policies that domestic small and medium-sized manufacturing companies should consider to maximize productivity and quality improvement by utilizing manufacturing data and AI, and to find priorities and implications. Methods: In this study, domestic and international issues and literature review by country were conducted to derive major considerations such as manufacturing AI technology, manufacturing AI talent, manufacturing AI data and manufacturing AI ecosystem. Additionally, the questionnaire survey targeting 46 experts of manufacturing data and AI industry were conducted. Finally, the major considerations and detailed factors importance were derived by applying the Analytic Hierarchy Process (AHP). Results: As a result of the study, it was found that 'manufacturing AI technology', 'manufacturing AI talent', 'manufacturing AI data', and 'manufacturing AI ecosystem' exist as key considerations for domestic manufacturing AI. After empirical analysis, the importance of the four key considerations was found to be 'manufacturing AI ecosystem (0.272)', 'manufacturing AI data (0.265)', 'manufacturing AI technology (0.233)', and 'manufacturing AI talent (0.230)'. The importance of the derived four viewpoints is maintained at a similar level. In addition, looking at the detailed variables with the highest importance for each of the four perspectives, 'Best Practice', 'manufacturing data quality management regime, 'manufacturing data collection infrastructure', and 'manufacturing AI manpower level of solution providers' were found. Conclusion: For the sustainable growth of the domestic manufacturing AI ecosystem, it should be possible to develop and promote manufacturing AI policies in a balanced way by considering all four derived viewpoints. This paper is expected to be used as an effective guideline when developing policies for upgrading manufacturing through domestic manufacturing data and AI in the future.

Exploring precise deposition and influence mechanism for micro-scale serpentine structure fiber

  • Wang, Han;Ou, Weicheng;Zhong, Huiyu;He, Jingfan;Wang, Zuyong;Cai, Nian;Chen, XinDu;Xue, Zengxi;Liao, Jianxiang;Zhan, Daohua;Yao, Jingsong;Wu, Peixuan
    • Advances in nano research
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    • v.12 no.2
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    • pp.151-165
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    • 2022
  • Micro-scale serpentine structure fibers are widely used as flexible sensor in the manufacturing of micro-nano flexible electronic devices because of their outstanding non-linear mechanical properties and organizational flexibility. The use of melt electrowriting (MEW) technology, combined with the axial bending effect of the Taylor cone jet in the process, can achieve the micro-scale serpentine structure fibers. Due to the interference of the process parameters, it is still challenging to achieve the precise deposition of micro-scale and high-consistency serpentine structure fibers. In this paper, the micro-scale serpentine structure fiber is produced by MEW combined with axial bending effect. Based on the controlled deposition of MEW, applied voltage, collector speed, nozzle height and nozzle diameter are adjusted to achieve the precise deposition of micro-scale serpentine structure fibers with different morphologies in a single motion dimension. Finally, the influence mechanism of the above four parameters on the precise deposition of micro-scale serpentine fibers is explored.

Technology Trend of Construction Additive Manufacturing (건축 스케일 적층제조 기술동향)

  • Park, Jinsu;Kim, Kyungteak;Choi, Hanshin
    • Journal of Powder Materials
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    • v.26 no.6
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    • pp.528-538
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    • 2019
  • The transition from "More-of-Less" markets (economies of scale) to "Less-of-More" markets (economies of scope) is supported by advances of disruptive manufacturing and reconfigurable-supply-chain management technologies. With the prevalence of cyber-physical manufacturing systems, additive manufacturing technology is of great impact on industry, the economy, and society. Traditionally, backbone structures are built via bottom-up manufacturing with either pre-fabricated building blocks such as bricks or with layer-by-layer concrete casting such as climbing form-work casting. In both cases, the design selection is limited by form-work design and cost. Accordingly, the tool-less building of architecture with high design freedom is attractive. In the present study, we review the technological trends of additive manufacturing for construction-scale additive manufacturing in particular. The rapid tooling of patterns or molds and rapid manufacturing of construction parts or whole structures is extensively explored through uncertainties from technology. The future regulation still has drawbacks in the adoption of additive manufacturing in construction industries.

Machinining of Specular Hologram using End-mill Technology (엔드밀 가공을 이용한 스페큘러 홀로그램 제작)

  • Jeon, Eun-Chae;Cha, Jin-Ho;Lee, Je-Ryung;Choi, Hwan-Jin;Kim, Chang-Eui;Je, Tae-Jin;Kim, Hwi;Choi, Doo-Sun
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.13 no.4
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    • pp.1-6
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    • 2014
  • The specular hologram is one type of hologram, and it consists of many arcs. They are very easy to fabricate and can even be machined by hand and a compass. In this study, we designed two squares having different depths and consisting of many arcs, after which we machined the arcs using end-mill technology. The width of the machined arcs showed high repeatability. Moving tracks were observed on the bottom surface, and top burrs were noted. In spite of them, the phenomenon of the specular hologram was observed when an observer and a light source stood on the same side. The two squares seemed to have different depths when they were observed from the left and right directions. In this study, it was verified that a specular hologram can be manufactured by end-mill technology.

The Effect of Both Employees' Attitude toward Technology Acceptance and Ease of Technology Use on Smart Factory Technology Introduction level and Manufacturing Performance (종업원 기술수용태도와 기술 사용용이성이 스마트공장 기술 도입수준과 제조성과에 미치는 영향)

  • Oh, Ju Hwan;Seo, Jin Hee;Kim, Ji Dae
    • Journal of Information Technology Applications and Management
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    • v.26 no.2
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    • pp.13-26
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    • 2019
  • The purpose of this study is to examine the effect of each of the two technology acceptance factors(employees' attitude toward smart factory technology, and ease of smart factory technology use) on the introduction level of each of the three smart factory technologies (manufacturing big data technology, automation technology, and supply chain integration technology), and in turn, the effect of each of the three smart factory technologies on manufacturing performance. This study employed PLS statistics software package to empirically validate a structural equation model with survey data from 100 domestic small-and medium-sized manufacturing firms (SMMFs). The analysis results revealed the followings. First, it is founded that employees' attitude toward smart factory technology influenced all of the three smart factory technology introduction levels in a positive manner. In particular, SMMFs of which employees had more favorable attitude toward smart factory technology tended to increase introduction levels of both automation technology and supply chain integration technology more than in the case of manufacturing big data technology. Second, ease of smart factory technology use also had a positive impact on each of the three smart factory technology introduction levels, respectively. A noteworthy finding is this : SMMFs which perceived smart factory technology as easier to use would like to elevate the introduction level of manufacturing big data technology more than in the cases of either automation technology or supply chain integration technology. Third, smart factory technologies such as automation technology and supply chain integration technology had affirmative impacts on manufacturing performance of SMMFs. These results shed some valuable insights on the introduction of smart factory technology : The success of smart factory heavily depends on organization-and people-related factors such as employees' attitude toward smart factory technology and employees' perceived ease of smart factory technology use.

The function of Information Technology as a Driver of eManufacturing (eManufacturing의 Driver로서 정보기술의 기능)

  • 김태운;김병남
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2000.04a
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    • pp.268-271
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    • 2000
  • Based on the rapid development of information technology (IT) including networks, manufacturing environment faces more customer engagement, global collaboration, greater emphasis on agility, increasing reach and connectivity through world-wide web, and micro transaction tracking and intelligence to name a few. The new ideas of manufacturing concept, eManufacturing is discussed in view of IT. In specific, a framework to identify. IT application in the product realization process and collaboration and coordination to implement eManufacturing is proposed.

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Technology Trend of Additive Manufacturing Standardization (적층제조기술의 품질 표준화 동향)

  • Choi, Hanshin;Park, Jinsu
    • Journal of Powder Materials
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    • v.27 no.5
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    • pp.420-428
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    • 2020
  • Additive manufacturing technology is recognized as an optimal technology for mass-customized distributed production because it can yield products with high design freedom by applying an automated production system. However, the introduction of novel technologies to the additive manufacturing industry is generally delayed, and technology uncertainty has been pointed out as one of the main causes. This paper presents the results of the research and analysis of current standardization trends that are related to additive manufacturing by examining the hierarchical structure of the quality system along with the various industry and evaluation standards. Consequently, it was confirmed that the currently unfolding standardization does not sufficiently reflect the characteristics of additive manufacturing technology, and rather can become a barrier to entry for market participants or an element that suppresses the lateral shearing ability of additive manufacturing technology.