• Title/Summary/Keyword: factory manufacturing

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A Study on Parking Generation Forecasting Model for Factory Facilities in Industrial Site (산업단지 공장시설의 주차수요예측모형 구축에 관한 연구)

  • Ahn, Woo-Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.1D
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    • pp.37-44
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    • 2010
  • The present annexed parking lot standards for buildings in Parking Act are categorized in 9 groups with 13 parking standards in terms of recreation, culture and assembly, housing, factory, warehouse, and so on, in which same grouped facilities have same parking standards. These days diversity in building types and functions need more fractionated parking standards; however, most local governments focusing merely on applying strengthened parking standards in general without systematic rules of consistency. The current problem of parking standards being used is lack of regarding facility characteristics; expecially, a large sized high-tech manufacturing facility located in industrial site is still applied by same parking standards as normal manufacturing facility, even though most part of manufacturing process is automated and hence less manpower is employed. This paper presents a parking generation forecasting model for factory facilities in industrial site in terms of facility use and scale characteristics.

Optimum-selection in the Welding Process Variable for Torch-rotation Method of Automation Welding-machine System (토치 회전식 자동용접 시스템의 용접공정변수 최적선정)

  • 김재열
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.6 no.2
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    • pp.92-101
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    • 1997
  • The purpose of this welding process of the exclusive welding-machine using welding torch-rotation type is to develop a mechanism which can solve the problem of twisting of welding wires and cables. The technique was developed by revising the torch position and smooth controlling of both the normal and reverse rotation. Some of the advantages of using the torch-rotation type apply to the work-rotation technique are the practical uses of increased work space and link work with the factory automation system. Do apply the welding process, I designed and made a special unit so called torch part in order to solve the problems of kinematical. And I made a control panel which can manipulate the progress of the entire process at the work shop. Even if it will be applied to another kind of axle casing's welding work, this process can be utilized if other sizes of the fixed pin and work part is produced and changed. The development of this exclusive welding-machine could reduce the manpower of skilled welding labor and increase productivity and better quality product in comparison to the handmade product.

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An Algorithm for Minimizing Exceptional Elements Considering Machine Duplication Cost and Space Constraint in Cellular Manufacturing System (기계중복비용과 공간제약을 고려한 예외적 요소의 최소화 알고리듬)

  • Chang, Ik;Chung, Byung-hee
    • IE interfaces
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    • v.12 no.1
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    • pp.10-18
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    • 1999
  • Job shop manufacturing environments are using the concept of cellular manufacturing systems(CMS) which has several advantages in reducing production lead times, setup times, work-in-process, etc. Utilizing the similarities between cell-machine, part-machine, and the shape/size of parts, CMS can group machines and parts resulting in improved efficiency of this system. However, when grouping machines and parts in machine cells, there inevitably occurs exceptional elements(EEs), which can not operate in the same machine cell. Minimizing these EEs in CMS is a critical point that improving production efficiency. Constraints in machine duplication cost, machining process technology, machining capability, and factory space limitations are main problems that prevent achiving the goal of maintaining an ideal CMS environment. This paper presents an algorithm that minimizes EEs under the constraints of machine duplication cost and factory space limitation. Developing exceptional operation similarity(EOS) by cell-machine incidence matrix and part-machine incidence matrix, it brings the machine cells that operate the parts or not. A mathematical model to minimize machine duplication is developed by EOS, followed by a heuristic algorithm in order to reflect dynamic situation resulting from minimizing exceptional elements process and the mathematical model. A numerical example is provided to illustrate the algorithm.

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IoT based Multi 3D Printers Management for Personalized Manufacturing Service (개인화 제조 서비스를 위한 IoT기반 멀티 3D프린터 관리 방안 연구)

  • Kang, Hyun-chul;Han, Hyon-young;Bae, Hee-chul;Lee, Eun-seo;Son, Ji-yeon;Kim, Hyun;Kim, Young-kuk
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.570-571
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    • 2017
  • The manufacturing industry is evolving from the automation process to the intelligent process through ICT convergence As the spread of 3D printers, 3D printing technology is becoming a technology that leads the Industry4.0. In this paper, we propose and implement a multi-3D printer management structure and control method based on IoT optimized for personalized manufacturing services.

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A Study on Design of Real-time Big Data Collection and Analysis System based on OPC-UA for Smart Manufacturing of Machine Working

  • Kim, Jaepyo;Kim, Youngjoo;Kim, Seungcheon
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.4
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    • pp.121-128
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    • 2021
  • In order to design a real time big data collection and analysis system of manufacturing data in a smart factory, it is important to establish an appropriate wired/wireless communication system and protocol. This paper introduces the latest communication protocol, OPC-UA (Open Platform Communication Unified Architecture) based client/server function, applied user interface technology to configure a network for real-time data collection through IoT Integration. Then, Database is designed in MES (Manufacturing Execution System) based on the analysis table that reflects the user's requirements among the data extracted from the new cutting process automation process, bush inner diameter indentation measurement system and tool monitoring/inspection system. In summary, big data analysis system introduced in this paper performs SPC (statistical Process Control) analysis and visualization analysis with interface of OPC-UA-based wired/wireless communication. Through AI learning modeling with XGBoost (eXtream Gradient Boosting) and LR (Linear Regression) algorithm, quality and visualization analysis is carried out the storage and connection to the cloud.

Smart Warehouse Management System Utilizing IoT-based Autonomous Mobile Robot for SME Manufacturing Factory (중소제조기업을 위한 IoT기반의 자율이동모듈을 활용한 스마트 창고관리 시스템 개발)

  • Kim, Jeong-A;Jeong, Jongpil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.5
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    • pp.237-244
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    • 2018
  • The Smart Factory level of manufacturing factories of SMEs now lacks a system for grasping the accurate inventory amount associated with inventory movements in managing warehouses at the basic level. Also, it is difficult to manage accurate materials for loss of data due to worker manual work and production method due to experience. In order to solve this problem, in this paper, automatic acquisition of inventory to minimize manual work to grasp workers' Inventory and improve automation is done. In the smart warehouse management system using the IoT-based autonomous mobile module, the autonomous mobile module acquires the data of the inventory storage while moving through the line. In order to grasp the material of the Inventory storage, The Camera module recognizes the name of the inventory storage. And Then, If output matches, the data measured by the sensor is transferred to the server. This data can be processed, saved in a database, and real-time inventory quantity and location can be grasped in a web-based monitoring environment for administrators. The Real-time Automatic Inventory (RAIC) systems is reduce manual tasks and expect the effects of automated inventory management systems.

A Study on Fire Hazard Analysis and Smoke Flowing for the Semiconductor Manufacturing Process (반도체 제조공정의 연기유동에 관한 연구)

  • Han, Soo-Jin;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.9 no.1
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    • pp.197-211
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    • 2007
  • The power of semiconductor, Korea is continuously constructing semiconductor production line for keeping a front-runner status. however, studies and data about potential risks in semiconductor factory are still short. If fire does not initially suppressed, the fire causes a great damage. To decrease fire risk factors, in addition to fire fighting safety equipment, more important thing is how to design and construct fire protection system. The current fire protection codes about semiconductor factory come under functional law, and this law is short of consideration about particularity of factory. The existing prescriptive fire codes depending on experience compose without evident engineering verifications, thus equipments which is created by the current prescriptive fire code may bring about a variety of problems. For example, the design under the current regulation can not cope with the excessive investments, low efficiencies, and the diversifying construction designs and be applied to the quick changes of new technologies. Ergo, an optimal design for fire protection is to equip fire protection arrangements with condition and environment of production field. Manufacturing factory of semiconductors is a windowless airtight space. And for cleanliness, there exists strong flow of cooperation. Therefore, there is a need for fire safety design that meets the characteristic of a clean room. Accordingly, we are to derive smoke flow according to cooperation process within a clean room and construction plan of an optimal sensor system. In this study, in order to confirm the performance of proposed smoke-exhaust equipment and suggest efficient smoke exhaust device when there is a fire of 1MW of methane in the clean room of company H, we have implemented fire simulation using fluid dynamics computation.

A Study on Establishment Method of Smart Factory Dataset for Artificial Intelligence (인공지능형 스마트공장 데이터셋 구축 방법에 관한 연구)

  • Park, Youn-Soo;Lee, Sang-Deok;Choi, Jeong-Hun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.5
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    • pp.203-208
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    • 2021
  • At the manufacturing site, workers have been operating by inputting materials into the manufacturing process and leaving input records according to the work instructions, but product LOT tracking has been not possible due to many omissions. Recently, it is being carried out as a system to automatically input materials using RFID-Tag. In particular, the initial automatic recognition rate was good at 97 percent by automatically generating input information through RACK (TAG) ID and RACK input time analysis, but the automatic recognition rate continues to decrease due to multi-material RACK, TAG loss, and new product input issues. It is expected that it will contribute to increasing speed and yield (normal product ratio) in the overall production process by improving automatic recognition rate and real-time monitoring through the establishment of artificial intelligent smart factory datasets.

A Study on the Development of Low Back Pain and the Risk Factors of Manufacturing Workers (일부 제조업 근로자들의 요통유병률과 요인에 관한 조사)

  • Park, Am
    • Journal of Preventive Medicine and Public Health
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    • v.26 no.1 s.41
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    • pp.37-48
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    • 1993
  • This study was conducted to investigate the prevalence rate of low back pain during past one year and its risk factors. The data were collected from 1,384 manufacturing factory workers from March 1, 1992 to August 30, 1992. The results obtained were as follows: 1. The one year prevalence rate of low back pain by manufacturing company was 38.4% in textile manufacturing, 35.2% in concrete reenforcement, 31.0% in cigarette and 26.1% in metal part(P<0.01). 2. In textile manufacturing, age groups with high prevalence rate of low back pain were 30's(36.8%) and 40's(36.4%) (P<0.05), and the one year prevelence rates of low back pain by marital state were 34.9% in married workers and 28.5% in unmarried(P=0.0511). 3. The one year prevelence rates of low back pain by job part are 35.0% in labor workers and 26.1% in clerical(P<0.05), and by work hour per day it was 34.9% in 9 or more and 28.9% in 8 or less(P<0.05). 4. The highest group of low back pain by work posture was 43.5% in 'lifting and transfering materials', and it by fitness of chair was 56.0% in uncomfortable one, and by height of working board was 33.6% in low working one. 5. In logistic regression analysis, significant determinants with low back pain were marital state(p<0.05), work hour per day(P<0.05), height of working board(P<0.01), and work posture(P<0.01).

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Development of Web-based Mold manufacturing process monitoring & control system using G-code control (G-code control 을 이용한 웹 기반 금형 가공 공정 모니터링 &컨트롤 시스템 개발)

  • 김건희;최진화;전병철;조명우
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.269-272
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    • 2004
  • The target of this paper is the development of Web-based monitoring & control system which is for effective and economic management of mold manufacturing process. This system has three module; G-code Control, Monitoring Module and Result analysis module. Also, as the environment of development is based on internet, this system which is possible to the remote site management of manufacturing process works on Web. To be possible to control the manufacturing monitoring by client, each module is made ActiveX control and is based on socket communication. This system makes the foundation which is possible to manage the mold manufacturing process efficiently from remote site by matching real-time monitoring with manufacturing process in factory using G-code control and displaying the result of manufacturing using Ch-CGI.

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