• Title/Summary/Keyword: factory management

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Comparison of the Two Layout Structures in Automotive Body Shops Considering Failure Distributions (자동차 차체공장에서 고장분포를 고려한 두 종류 배치구조에 대한 비교)

  • Kim, Ha Seok;Wang, Guan;Shin, Yang Woo;Moon, Dug Hee
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.5
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    • pp.470-480
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    • 2015
  • There are many challenges in manufacturing system for new factory construction. Although factories produce same product, the layout of each factory may be different. The body shop in an automotive factory is a typical flow line with assembly, but the layout concept of the line varies among factories. In this paper, two types of layouts in the body shops of automotive factories, one for layered build and the other for modular build, are compared using simulation study. The simulation experiments indicate that the modular build layout is better than the layered build layout with respect to production rate. The effects of various failure distributions on the throughputs are also investigated, and some insights are suggested regarding the layout concept.

Data Collection Management Program for Smart Factory (스마트팩토리를 위한 데이터 수집 관리 프로그램 개발)

  • Kim, Hyeon-Jin;Kim, Jin-Sa
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.35 no.5
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    • pp.509-515
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    • 2022
  • As the 4th industrial revolution based on ICT is progressing in the manufacturing field, interest in building smart factories that can be flexible and customized according to customer demand is increasing. To this end, it is necessary to maximize the efficiency of factory by performing an automated process in real time through a network communication between engineers and equipment to be able to link the established IT system. It is also necessary to collect and store real-time data from heterogeneous facilities and to analyze and visualize a vast amount of data to utilize necessary information. Therefore, in this study, four types of controllers such as PLC, Arduino, Raspberry Pi, and embedded system, which are generally used to build a smart factory that can connect technologies such as artificial intelligence (AI), Internet of Things (IoT), and big data, are configured. This study was conducted for the development of a program that can collect and store data in real time to visualize and manage information. For communication verification by controller, data communication was implemented and verified with the data log in the program, and 3D monitoring was implemented and verified to check the process status such as planned quantity for each controller, actual quantity, production progress, operation rate, and defect rate.

In the Automation Environment of Factory and Production, the Implementation of Security-enhanced Mobile Device Management System using Android-based Smart Phones (공장 및 생산 자동화에 있어 안드로이드 기반의 보안성이 강화된 모바일장비관리시스템 구현)

  • Yu, Hyung-Cik;Seon, Ki-Hyun;Kim, Sung-Un
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.7
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    • pp.779-789
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    • 2014
  • Utilizing smart phones based on android applications in the field of FA(Factory Automation) or PA(Production Automation) is being deployed actively. In general, MDM(Mobile Device Management) is a crucial infra-structure to build such a FA or PA environment. In this paper, we suggest an open mobile device management platform and implement its prototype. The developed prototype consists of three modules such as DMS(Device Management Server), FUMO(Firmware Update Management Object) and SCOMO(Software Component Management Object). In addition, we suggest a security module based on the concept of the EAP (Extensible Authentication Protocol) and the AES (Advanced Encryption Standard). The suggested security module's prototype is applied to guarantee the data integrity in the process of communicating among DMS, FUMO and SCOMO for the purpose of utilizing smart phones based on android applications in a FA field. We also evaluate the performance of the implemented security prototype. According to our simulation results, the implemented prototype has a good performance in a FA environment and can be utilized in the other FA, PA or OA(Office Automation) environment with guaranteeing the security.

A Study of the Ergonomics Evaluation of a Water Heater's Case Manufacturing Factory

  • Hsu, Yao-Wen;Chung, Yi-Chan;Chiu, Chung-Ching;Chen, Ching-Piao;Tsai, Chih-Hung
    • International Journal of Quality Innovation
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    • v.9 no.1
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    • pp.22-40
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    • 2008
  • Unnatural working postures usually cause musculoskeletal problems for workers in work field, especially in traditional industry. Many analysis and survey methodologies have been developed to identify unnatural postures and disorder risks in workplaces. The Ovako Working Posture Analyzing System (OWAS) and Nordic Musculoskeletal Questionnaire (NMQ) are the representative methods and applied widely. This study applied the both tools to investigate the work field of a manufacturing factory of the water heater's case. We divided the manufacturing process into nine workshops, took the pictures of working motions by DV camera and analyzed the postures on OWAS. From the OW AS results, we could identify the risks level of musculoskeletal symptoms as four Action Categories (AC). And from the comparison of OWAS and NMQ results, we could provide the suggestions to improve the working methods and environment. From the results of OWAS, we found that the operators' head/neck and back were above AC3 in some workshops. If the situation continued in long period, the operators might have the risk to get musculoskeletal symptoms. From the investigation of NMQ, we also found that the percentage of aches on neck, shoulders and lower back were higher than other parts of body. The correlation between aches and jobs was more than 75%. So we provided some suggestions to improve: work rotation and adjustment of work surface/height to fit in with Ergonomics. Then the risks of musculoskeletal symptoms would be reduced.

Redesigning Disposition Authority Template for the Records Produced in Complex System Environment : A Case Study of Factory Founding and Registration Activity in Local Government (복합적 기록 생산 환경에서의 평가를 위한 기록관리기준표 개선방안 A구 '공장설립 및 등록' 업무를 사례로)

  • Cho, Ji-young;Seol, Moon-won
    • The Korean Journal of Archival Studies
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    • no.58
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    • pp.147-190
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    • 2018
  • Currently, the appraisal system for public records is mainly based on the disposition authority named 'Records Management Criteria Table,' which has many limitations in digital environment. Especially, it does not apply to other systems than the 'Business Management System' and does not adequately reflect the complex environment of records creation. The purpose of this study is to suggest ways to improve the 'Records Management Criteria Table,' so that it can be applied to appraisal of records created in a complex work environment. For this purpose, this study investigates a case of 'Factory Establishment and Registration' activity performed by local governments. For this activity, related laws and regulations, business processes and systems for those processes are analyzed and types of records are examined by each business process and system. Based on these analyses, the development procedure and structure of a new 'Records Management Criteria Table' are suggested, so that it can be applicable as disposition authority in the complex environments of records creation.

A Study on a Framework for Digital Twin Management System applicable to Smart Factory (스마트 팩토리에 적용 가능한 디지털 트윈 관리시스템 프레임워크에 관한 연구)

  • Park, Dongjin;Choi, Myungsoo;Yang, Dongsik
    • Journal of Convergence for Information Technology
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    • v.10 no.9
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    • pp.1-7
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    • 2020
  • In order to implement a smart factory for manufacturing innovation, more digital twins will be developed and applied gradually. In particular, simulation and optimization of digital twins makes it possible to support critical decision-making like a predictive maintenance of the equipment for manufacturing. In terms of a user perspective, this study suggests the conceptual framework of Digital Twin Management System (DTMS) for supporting the analytical and managerial activities for Digital Twins. We integrate the methods and structure of the area like Manufacturing Engineering, Decision Support Systems, and Optimization for developing the DTMS. The framework suggested in this study shows a typical DSS which consists of dialog management system, model management system and data management system. It also includes Analytical Digital Twins and simulations & optimization module. The framework is being applied in one of the most competitive and complex industrial sector. Also this study is meaningful to suggest a new direction of research.

A Study on Development of Systematic Practical Education Model, Equipment Design and Application for Undergraduate linked with Employee Training on the Spot for Practical Engineering Empowerment (실천공학역량강화를 위한 학부와 재직자 교육의 체계적인 연계 모델 개발 및 장비 설계·적용에 대한 연구)

  • Lee, Woo-Young;Kim, Jin-Woo;Cho, Nam-Chae
    • The Journal of Korean Institute for Practical Engineering Education
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    • v.3 no.2
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    • pp.136-141
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    • 2011
  • The current tendency on development and change of equipment system in the factory are overlapped with the specific field of the existing systems such as PLC, DCS and SCADA, and the limited portion of the systems in the specific field stands in their own field. Specially, systematic integration, inspection control system and manufacturing management system, management information system are getting closely linked and therefore we increasingly need the open system. Meeting the needs, manufacturing automated equipments in the factory overcoming the shortcomings of unlinked unit equipment recently are getting changed to the phase closely linking with other systems. The training systems for the university, however, have not kept up with the needs from the industry, in spite that fused complex function and performance are asked in the field. To solve the problems, we suggest that the training courses and the equipment designed for the undergraduate education.

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Analysis of the Korean Filatures Management (우리나라 제사공장의 경영분석)

  • 최병희;남중희
    • Journal of Sericultural and Entomological Science
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    • v.10
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    • pp.99-105
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    • 1969
  • The results of investigation and management analysis for the silk filatures in Korea until 1968 are evaluated as followings. (1) The average cocoon purchasing amount for a filature was found as 10,800kg and they are processed 105kg per man on the cocoon assorting process, 8,683kg per day during the drying process of which 42 percent are dried with low temperature drying system. (2) The average cocoon cooking capacity is 50 g, cocoon per minute, but the cooking capacity per man is smaller in case of larger factory. (3) The silk production capacity per month per a filature is 6,000kg and the amount gets smaller in case of larger factory. (4) The employee cost per one kg of raw silk production was found as high in smaller factory and it was found that 200~300 sets size was the optimum capacity for operation. (5) In case of multiends silk reeling machine, the employee cost for the silk reeling process acts as the most peculier factor among six different cocoon processes and it is reached to conclued to deduct the number of employees for this process in order to deduct the production cost. (6) The correlation coefficients between cost factors and total labour cost was found as 46 percent, therefore the rest (54%) will be the production cost other than labour cost.

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Mapping Soil Contamination using QGIS (QGIS를 이용한 토양오염지도 작성)

  • Kim, Ji-Young;Bae, Yong-Soo;Park, Jin-Ho;Son, Yeong-Geum;Oh, Jo-Kyo
    • Journal of Environmental Health Sciences
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    • v.45 no.5
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    • pp.487-496
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    • 2019
  • Objective: The purpose of this study was to create soil contamination maps using QGIS (Quantum Geographic Information System) and suggest selection methods for soil pollution sources for preferential investigation in a soil contamination survey. Method: Data from soil contamination surveys over five years in Gyeonggi-do Province, South Korea (2013-2017) were used for making soil contamination maps and analyzing the density of survey points. By analyzing points exceeding the concern level of soil contamination, soil pollutant sources for priority management were identified and selection methods for preferred survey points were suggested through a study of the model area. Results: A soil contamination survey was conducted at 1,478 points over five years, with the largest number of surveys conducted in industrial complex and factory areas. Soil contamination maps for copper, zinc, nickel, lead, arsenic, fluoride, and total petroleum hydrocarbons were made, and most of the survey points were found to be below concern level 1 for soil contamination. The density of the survey points is similar to that of densely populated areas and factory areas. The analysis results of points exceeding the criteria showed that soil pollutant sources for priority management were areas where ore and scrap metals were used and stored, traffic-related facilities areas, industrial complex and factory areas, and areas associated with waste and recycling. According to the study of the model area, the preferred survey points were traffic-related facilities with 15 years or more since their construction and factories with a score of 10 or more for soil contamination risk. Conclusion: Soil contamination surveys should use GIS for even regional distribution of survey points and for the effective selection of preferred survey points. This study may be used as guidelines to select points for a soil contamination survey.

Start Point Detection Method for Tracing the Injection Path of Steel Rebars (철근 사출 궤적 추적을 위한 시작지점 검출 방법)

  • Lee, Jun-Mock;Kang, Dae-Seong
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.6
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    • pp.9-16
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    • 2019
  • Companies that want to improve their manufacturing processes have recently introduced the smart factory, which is particularly noticeable. The ultimate goal is to maximize the area of the smart factory that performs the process of the production facility completely with minimal manual control and to minimize errors of reasoning. This research is a part of a project for unmanned production, management, packaging, and delivery management and the detection of the start point of rebars to perform the automatic calibration of the rollers through the tracking of the automated facilities of unmanned production. It must meet the requirement to accurately track the position from the start point to the end point. In order to improve the tracking performance, it is important to set the accurate start point. However, the probability of tracking errors is high depending on environments such as illumination and dust through the conventional time-based detection method. In this paper, we propose a starting point detection method using the average brightness change of high speed IR camera to reduce the errors according to the environments, As a result, its performance is improved by more than 15%.