• Title/Summary/Keyword: Automation of the Manufacturing Process

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A Study on the MMS Protocol for Factory Automation Network (생산자동화 네트워크를 위한 MMS 프로토콜에 관한 연구)

  • 강문식;고우곤;박민용;이상배
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.28A no.10
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    • pp.774-781
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    • 1991
  • A communication network protocol among programable devices built-i manufacturing field, MAP (Manufacturing Automation Protocol), has to provide the job transfer service carrying out a lot of jobs distributively, and the MMS( manufacturing message specification) defines the above application layer protocol. In this paper user software required in job transfer was implemented. So as to provide each service with compatibility and extension, each module was designed according to the functions. A method is selected in double-assigning their domain and program applicable even in complex process, which loads and proceeds several programs sequentially. In order to confirm the logical validity of the designed protocol, local applying test is accomplished for the application layer of response station. Modelling the job flow process, each serice module is verified with the I/O primitives.

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Quality monitoring of complex manufacturing systems on the basis of model driven approach

  • Castano, Fernando;Haber, Rodolfo E.;Mohammed, Wael M.;Nejman, Miroslaw;Villalonga, Alberto;Lastra, Jose L. Martinez
    • Smart Structures and Systems
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    • v.26 no.4
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    • pp.495-506
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    • 2020
  • Monitoring of complex processes faces several challenges mainly due to the lack of relevant sensory information or insufficient elaborated decision-making strategies. These challenges motivate researchers to adopt complex data processing and analysis in order to improve the process representation. This paper presents the development and implementation of quality monitoring framework based on a model-driven approach using embedded artificial intelligence strategies. In this work, the strategies are applied to the supervision of a microfabrication process aiming at showing the great performance of the framework in a very complex system in the manufacturing sector. The procedure involves two methods for modelling a representative quality variable, such as surface roughness. Firstly, the hybrid incremental modelling strategy is applied. Secondly, a generalized fuzzy clustering c-means method is developed. Finally, a comparative study of the behavior of the two models for predicting a quality indicator, represented by surface roughness of manufactured components, is presented for specific manufacturing process. The manufactured part used in this study is a critical structural aerospace component. In addition, the validation and testing are performed at laboratory and industrial levels, demonstrating proper real-time operation for non-linear processes with relatively fast dynamics. The results of this study are very promising in terms of computational efficiency and transfer of knowledge to manufacturing industry.

Improvement of machining process for mold parts using on-machine measuring system and CAM automation (기상측정 및 CAM 자동화를 통한 금형 제작 공정 개선)

  • Park, Hae-Woong;Yun, Jae-Woong;Lee, Chun-Kyu
    • Design & Manufacturing
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    • v.16 no.1
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    • pp.21-26
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    • 2022
  • In the CNC machining process, problems such as lowering of machine operation rate, setting errors, and machining precision occur due to the increase in setting time and preparation time. These machining errors cause delays in delivery and increase in cost due to an increase in the number of mounting and dismounting of the workpiece, an increase in measurement and reprocessing time, and an increase in the finishing time in the assembly process. Therefore, in this study, by automating the setting of the work piece using OMV (On Machine Verification), which is a meteorological measurement system, the preparation time for machining the work piece and the setting accuracy were improved, the rework rate was reduced, and the mold manufacturing process was shortened. Through the advancement, standardzation, and automation of the mold part manufacturing process, we have improved productivity by minimizing low-value-added repetitive tasks. In addition, the measurement time was reduced by more than 50% and the machining measurement rate was improved by more than 20%, eliminating repetitive work for correcting machining defects, and reducing the work preparation time by more than 15% through automatic setting.

Teaching about Automation in the Clothing Industry (의류생산자동화의 교육에 대한 제안)

  • 조진숙
    • Journal of the Korean Society of Costume
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    • v.19
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    • pp.75-81
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    • 1992
  • The clothing industry is going through very rapid and innovative automation in almost all processes from the initial design of clothing to the dispatch of the products to the retailer. Educational bodies in teaching clothing and textile techniques should offer courses that enable students to grasp the concepts and potential of automation so that they can confidently cope with further development when they enter the real world of the clothing and textile industry. The article suggests how and what to teach about automation and, gives an overview of the current state of automation in the field of clothing and textiles. What to Teach about Automation. $\cdot$What is the automation of the clothing industry\ulcorner $\cdot$The benefits of, and obstacles to automation in the clothing industry. $\cdot$How to automate the manufacturing process. $\cdot$Recent developments in automation machinery. $\cdot$How to Teach about Automation. $\cdot$Install available machinery at the educational institute and train the students. $\cdot$Practical 'in the field' work experience. $\cdot$Visite to textile machinery exhibitions and industrial sites. $\cdot$Using audio-visual methods. $\cdot$Participation in research projects to develop automatic systems.

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Study on Automation of Inspection System in the Piston Lod Manufacturing Process (피스톤로드 검사공정의 자동화 시스템 구축 방안)

  • Sin, Dong-Ju;Kim, Gyeong-Rok;Jeong, Ho-Yeon
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2007.11a
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    • pp.418-421
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    • 2007
  • For Shock obsorber piston led is launched to the market through luring, milling, grooving, rolling, inspection and finally packing processes, To this time around 11 items, that is, out diameter and length etc..for the piston lod are inspected strictly as a total inspection. Piston Lod is being produced 30,000 a day and its excessively repeating inspection is getting induce repetition strain injury and reduce production rate as fatigue accumulation of worker increase inspection errors. Therefore, for the inspection process is severely needed a progressive improvement through the automation. In this study, we consider automation method of piston led inspection process and suggest an efficient automation strategy as improving the various problems in present manual inspection way.

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Workload Allocation Methods in Discrete Manufacturing Systems:Model and Optimization

  • Yingwen, Zheng
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1362-1366
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    • 2003
  • Workload programming is allocating suitable workloads of production process according to the needs of products, which would minimize the total cost of both work and stock under some constraint conditions. In this paper, a production process flow chart of discrete manufacturing is presented by a Petri net, and the optimization model of workload-stock is established. An approach of the optimal workloads is provided by means of the integer matrix theory. An example is given to verify this method.

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Automation of Cell Production System for Cellular Phones based on Multi-dual-arm Robots (복수의 양팔로봇을 적용한 휴대폰 셀 생산시스템의 자동화)

  • Do, Hyun Min;Kim, Doo Hyeong;Kyung, Jin Ho
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.23 no.6
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    • pp.580-589
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    • 2014
  • Demands for automation in the cell production process of IT products are becoming increasingly sophisticated. In particular, the dual-arm robot has drawn attention as a solution because it has a flexibility and works similarly to humans. In this paper, we propose an automation system for cellular phone packing processes using two dual-arm robots. Applied robots are designed with specifications to meet the requirements of cellular phone packing jobs. In addition, a robotic cell production system is proposed by applying a method of task allocation for efficient packing of cellular phones. Specifically, a task is assigned to reduce takt-time and to avoid collision between two robots. Finally, we discuss some experimental results that include the packing job of five unit boxes with seven kinds of accessories.

제품-공정 메트릭수 상에서 경쟁전략과 자동화수준에 대한 실증적 연구

  • 이준석
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1998.10a
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    • pp.703-711
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    • 1998
  • Due to the highly ocmpetitive and volatile manufacturing environment, the field of operation management has received increasing attention in recent years as having strategic importances. This study is about the korean manufacturing strategy and the factory automain levels on the product-process matrixes. In this paper, after reviewing the researches about manufacturing strategy and product-process matrixes, we proposed a conceptual model for satisfied factory automation levels.

Trends Analysis and Future Direction of Business Process Automation, RPA(Robotic Process Automation) in the Times of Convergence (융복합 시대의 비즈니스 프로세스 자동화, RPA(Robotic Process Automation) 동향분석 및 미래방향)

  • Hyun, Young Geun;Lee, Joo Yeoun
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.313-327
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    • 2018
  • In this era that technology is replacing human labor is coming. Like the introduction of Factory Automation and Smart Factory to enhance the productivity in manufacturing works in companies, RPA (Robotic Process Automation) is being applied to strengthen the competiveness in service & office work of companies. But, RPA itself is not mature enough to be the specific technology or solution, but burgeoning as the conceptual technology alternatives to automate the business process harnessed with the concept of software robots, artificial intelligence etc. The biggest difference that the introduction of RPA can make is the transition of the work based on 'human labor', to the 'digital labor' that could result in the replacement of human labor itself with that. Considering this kind of impact to change the concept of labor, the discussion for the future policy for this is inevitable. In this paper, beginning from the overview of RPA, relevant concerns & consideration for the application of RPA will be described based on the understanding of industrial & technology trends and expected future of RPA.

Prediction for Rolling Force in Hot-rolling Mill Using On-line learning Neural Network (On-line 학습 신경회로망을 이용한 열간 압연하중 예측)

  • Son Joon-Sik;Lee Duk-Man;Kim Ill-Soo;Choi Seung-Gap
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.14 no.1
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    • pp.52-57
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    • 2005
  • In the foe of global competition, the requirements for the continuously increasing productivity, flexibility and quality(dimensional accuracy, mechanical properties and surface properties) have imposed a mai or change on steel manufacturing industries. Indeed, one of the keys to achieve this goal is the automation of the steel-making process using AI(Artificial Intelligence) techniques. The automation of hot rolling process requires the developments of several mathematical models for simulation and quantitative description of the industrial operations involved. In this paper, an on-line training neural network for both long-term teaming and short-term teaming was developed in order to improve the prediction of rolling force in hot rolling mill. This analysis shows that the predicted rolling force is very closed to the actual rolling force, and the thickness error of the strip is considerably reduced.