• 제목/요약/키워드: Labor Intensive Manufacturing

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A HARMS-based heterogeneous human-robot team for gathering and collecting

  • Kim, Miae;Koh, Inseok;Jeon, Hyewon;Choi, Jiyeong;Min, Byung Cheol;Matson, Eric T.;Gallagher, John
    • Advances in robotics research
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    • 제2권3호
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    • pp.201-217
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    • 2018
  • Agriculture production is a critical human intensive task, which takes place in all regions of the world. The process to grow and harvest crops is labor intensive in many countries due to the lack of automation and advanced technology. Much of the difficult, dangerous and dirty labor of crop production can be automated with intelligent and robotic platforms. We propose an intelligent, agent-oriented robotic team, which can enable the process of harvesting, gathering and collecting crops and fruits, of many types, from agricultural fields. This paper describes a novel robotic organization enabling humans, robots and agents to work together for automation of gathering and collection functions. The focus of the research is a model, called HARMS, which can enable Humans, software Agents, Robots, Machines and Sensors to work together indistinguishably. With this model, any capability-based human-like organization can be conceived and modeled, such as in manufacturing or agriculture. In this research, we model, design and implement a technology application of knowledge-based robot-to-robot and human-to-robot collaboration for an agricultural gathering and collection function. The gathering and collection functions were chosen as they are some of the most labor intensive and least automated processes in the process acquisition of agricultural products. The use of robotic organizations can reduce human labor and increase efficiency allowing people to focus on higher level tasks and minimizing the backbreaking tasks of agricultural production in the future. In this work, the HARMS model was applied to three different robotic instances and an integrated test was completed with satisfactory results that show the basic promise of this research.

컴퓨터 시뮬레이션을 이용한 어체 상자 제함기 동작 분석에 관한 연구 (A Motion Analysis Study of Casers for Fish Boxes using Computer Simulation)

  • 정성헌;전철웅;손정현
    • 한국기계가공학회지
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    • 제18권4호
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    • pp.56-61
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    • 2019
  • In this country, mackerel landing, sorting, and packing are mostly performed manually, which is time consuming and labor intensive. An unloading automation system saves time and labor by automating the landing, sorting, and packing processes. Casers are devices for manufacturing packing boxes for fish used by unloading automation systems. The caser design in this study is for mackerel packing boxes. This caser makes a packing box based on a press using the caser's slide crank. When the caser makes a packing box, the manufacturing sequence is determined by the caser's production guide and assisting rod. The caser design in this study is simulated using a multi-body dynamics program. The simulation is used to analyze the caser and to visualize the box-making sequence.

Evaluation of Competitiveness of Domestic Aircraft Manufacturing Enterprises Using Data Mining Techniques

  • Ok, Juseon;Park, Chanwoo
    • 항공우주시스템공학회지
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    • 제15권6호
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    • pp.26-32
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    • 2021
  • The global aircraft-manufacturing industry ecosystem is characterized by the international division of labor through the worldwide supply chain and by the concentration of value added at the top of the supply chain. As a result, the competition for entry into the top supply chain and for order expansion is becoming increasingly intensive. To increase their orders, domestic aircraft manufacturing enterprises need to enhance their competitiveness by evaluating and analyzing it. However, most domestic aircraft manufacturing companies are unaware of the need to quantitatively evaluate their competitiveness. It is challenging to perform such an evaluation, and there are few research cases. In this study, we quantitatively evaluated and analyzed the competitiveness of domestic aircraft manufacturers by using data mining techniques. Thereby, implications for enhancing their competitiveness could be identified.

공장자동화를 위한 신발갑피 Fuse공정 표준화 설계 연구 (A Study on the Standardization of Fuse Process for Automation of Manufacturing)

  • 김현희;이경창
    • 한국산업융합학회 논문집
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    • 제22권2호
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    • pp.235-241
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    • 2019
  • The shoe manufacturing process is very low compared to other industries due to the labor-intensive process. As automation and smart factories are becoming more and more automated, changes in the shoe manufacturing process are also needed. In this paper, we want to standardize the fuse manufacturing process by modularizing it. First, we defined the terms of shoeupper and fuse process, the shoe upper fuse process by function and classified it as a modular process. The fuse process can be modularized with pattern supply module, pattern recognition module, pattern laminate module, pattern waiting module, adhesion module, heat pressing module, transmission module, etc.

A Systematic Review on Smart Manufacturing in the Garment Industry

  • Kim, Minsuk;Ahn, Jiseon;Kang, Jihye;Kim, Sungmin
    • 한국의류산업학회지
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    • 제22권5호
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    • pp.660-675
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    • 2020
  • Since Industry 4.0, there is a growing interest in smart manufacturing across all industries. However, there are few studies on this topic in the garment industry despite the growing interest in implementing smart manufacturing. This paper presents the feasibility and essential considerations for implementing smart manufacturing in the garment industry. A systematic review analysis was conducted. Studies on garment manufacturing and smart manufacturing were searched separately in the Scopus database. Key technologies for each manufacturing were derived by keyword analysis. Studies on key technologies in each manufacturing were selected; in addition, bibliographic analysis and cluster analysis were conducted to understand the progress of technological development in the garment industry. In garment manufacturing, technology studies are rare as well as locally biased. In addition, there are technological gaps compared to other manufacturing. However, smart manufacturing studies are still in their infancy and the direction of garment manufacturing studies are toward smart manufacturing. More studies are needed to apply the key technologies of smart manufacturing to garment manufacturing. In this case, the progress of technology development, the difference in the industrial environment, and the level of implementation should be considered. Human components should be integrated into smart manufacturing systems in a labor-intensive garment manufacturing process.

Estimating the Knowledge Capital Model for Foreign Investment in Services: The Case of Singapore

  • Chellaraj, Gnanaraj;Mattoo, Aaditya
    • East Asian Economic Review
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    • 제23권2호
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    • pp.111-147
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    • 2019
  • Singapore's inward and outward investments with industrialized countries in both manufacturing and service sectors were skill seeking while outward investments to developing countries were labor seeking. Applying the Knowledge-Capital model, it was found that services Foreign Direct Investment is sensitive to skill differences. A ten-percent decline in skill differences with industrialized countries resulted in a 4.25 percent rise in inbound manufacturing and 1.48 percent rise in inbound services investments. Meanwhile, a ten-percent increase in skill differences with developing countries resulted in a 30 percent rise in outbound manufacturing and 0.38 percent rise in services investments. Furthermore, when services are distinguished by skill-intensity, the impact of relative skill endowments on inbound Foreign Direct Investment in skill-intensive services is significantly different from the impact on other services. However, when services are disaggregated by "proximity" needs, we do not find any significant difference in the impact of relative skill endowments on Foreign Direct Investment.

우리나라 정보관련직종의 공간적 분포와 지역화 격차에 관한 연구 (Spatial Distribution of Information Related Occupation and Its Regional Difference in Korea)

  • 이희연
    • 지역연구
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    • 제9권1호
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    • pp.3-23
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    • 1993
  • In this paper the prevailing geography of the information sector, fousing on its occupatonal dimension, is examined. The purposes of this paper are to analyze the labor force share of information occupation workers at each special city and region, to compare the inter-regional distribution of information workforce and to analyze regional share of information occupations in manufacturing industry. Spatial pattern of size and occupational composition of information sector shows a core-periphery disparity. There is a clear evidence of Seoul's dominance of the information economy, particularly such as scientific and technical, consultative services, management and process control function. Also the distribution of information workers in manufacturing industry over space was polarized than is the case for total manufacturing employment and noninformation workers. Therefore Korean information economy is marked by a highly articulated spatial division of labor within individual industry, which can be attributed to the locational characteristics of information intensive industries and industrial composition of regional economy. From the results of this study, information employment prospects among regions of Korea would reinforce the unequal geography of job opportunity. In this light, regional policy efforts should be given to the improvement of information infrastructure to facilitate new computer-based service products and process in peripheral regions.

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스마트팩토리를 위한 빅데이터 기반 실시간 제조설비 데이터 처리 (Real-time Processing of Manufacturing Facility Data based on Big Data for Smart-Factory)

  • 황승연;신동진;곽광진;김정준;박정민
    • 한국인터넷방송통신학회논문지
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    • 제19권5호
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    • pp.219-227
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    • 2019
  • 제조업의 생산 방법은 노동집약적인 방법에서 제조설비 중심의 기술집약적인 방법으로 변경되어가고 있다. 사람의 노동력을 제조설비가 대체하게 되면서 제조설비의 모니터링과 관리의 중요성이 강조되고 있다. 또한, 최근 빅데이터 기술은 한정된 데이터에서 새로운 가치를 찾아내는 중요한 기술로 등장하였다. 따라서 제조업의 변화는 기존 제조 공장에 사물인터넷(IoT), 정보통신기술, 센서 데이터, 빅데이터를 융합한 스마트팩토리의 필요성을 증대시켰다. 본 논문에서는 제조설비 데이터를 몽고DB에 실시간으로 분산 저장 및 처리하는 기술과 R 프로그래밍을 사용한 시각화를 통해 기존 국내 제조업 공장이 빅데이터 기반의 스마트팩토리가 되기 위한 전략을 제시하고자 한다.

열간 단조 작업의 무인화를 위한 자동화시스템 개발 (Development on unmanned automated system at hot Forging work)

  • 정성호;이준호
    • 한국기계가공학회지
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    • 제12권5호
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    • pp.163-169
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    • 2013
  • The objective of this study is to replace labor intensive forging processes by an automated system. For achieving it, an exclusive mechanism that consists of a positioner, an arm, and a hanger is configured to handle hot forging objects. Also, a structural analysis is applied to the horizontal motion unit, which is the most highly loaded, in order to verify its validity. In addition, its possibility is also verified through identifying the performance of the proposed system before applying it to sites. As a result, the major characteristic items, such as positioning accuracy, material diameter, object traveling weight, product failure rate, and forging process rate, in this system are perfectly verified for applying it to manufacturing sites.

한국제조업에서의 외부통제에 관한 공간적 분석 (The geography of external control in Korean manufacturing industry)

  • 백영기
    • 대한지리학회지
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    • 제30권2호
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    • pp.146-168
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    • 1995
  • 본 연구는 기업의 외부통제에 관한 개념적인 논의와 함께, 한국의 제조업에서 80년 대 중반 이후(1986-1992)에 나타난 통제의 공간적 변화를 경험적으로 조사하였다. 15개의 지역 사이에 다입지 기업의 소유연계에 대한 자료가 외부통제의 대체척도로 이용되었다. 이 자료를 근거로 생산과정의 특성에 따른 세가지 유형의 제조업 부문별로 통제의 변화를 지도 화하여 분석하였다. 전반적인 외부통제의 지리적 특징은 서울이 탁월한 통제의 중심지로서, 서울의 영향력은 수도권과 동남권의 산업발달 지역에 집중되었지만, 최근에 그 영향력은 산 업이 낙후된 지역까지 확산되어 전국적이다. 또한 새로운 통제의 중심지로 수도권과 동남권 의 중심인 대도시가 서서히 부각되고 있다. 이러한 특징에도 불구하고, 제조업 유형별로 상 이한 외부통제의 공간적 패턴은 생산의 조직구조가 생산과정에서 필요로 하는 자본과 노동 은 물론 부문이 처한 외부환경에 따라 변화됨을 보여준다. 이러한 결과는 상이한 생산과정 을 채택하는 다입지 기업의 공간적 영향에 차별적 분석을 요구한다.

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