• Title/Summary/Keyword: Industrial Manufacturing Machine

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Need for Korean Industrial Standards (KS) for Acupuncture Needle (침의 한국산업규격(KS) 도입 필요성에 대한 고찰)

  • Jang, In-soo;Park, Jong-bae;Seo, Jung-chul
    • Journal of Acupuncture Research
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    • v.21 no.5
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    • pp.149-162
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    • 2004
  • Quality assurance with high safety profile is one of the most critical issues to medical device manufacturing. In general, this issue was not paid proper attention with respect to acupuncture needle and its related devices. Acupuncture needles are manufactured through various standards ranging from purely hand-made, partially hand-made and partially machine-made, to fully machine-made mainly in China, Korea, and Japan. There is a large difference in quality between needles from different manufacturers. In order to provide a standard manufacturing guideline, it seems necessary to make a Korean Industrial standard (KS). The authors review this topic from an historical view point, investigate the current situation of the standardization of acupuncture needles in other developed countries, and inspect the general procedure to establish a KS in Korea in order to suggest a KS for acupuncture needles.

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Analysis on the Case of PL Accident in the Area of Industrial Safety (산업안전 분야에서의 PL사고유형 분석)

  • Hong Han-Kuk;Kang Byung-Young
    • Journal of the Korean Society of Safety
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    • v.20 no.2 s.70
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    • pp.140-145
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    • 2005
  • The PL(Product Liability) Law has been going into effect in Korea since July 2002. Accordingly, a company's responsibility for customers who are damaged by the defect in the product safety has been gradually strict and imposed burden on management. Not only general consumers but also labors who work with machine in the field of production are included in the concept of victim of the PL Law. That is to say, when a worker is damaged by the defect of machine he can institute a PL lawsuit more aggressively, not just get the industrial accident compensation as usual, only if not his own fault but the defect of machine used in the course of production can be demonstrated. This paper intends to present suggestions to PL prevention of manufacturing companies of industrial machine through the case research of PL accidents in the area of industrial safety.

An Optimal Solution of Machine Cell Formation Problem (기계 그룹 형성 문제의 최적해)

  • Choi Seong-Hoon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.27 no.3
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    • pp.7-13
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    • 2004
  • In this paper, machine cell formation problem is discussed. To reflect precisely actual manufacturing situations such as routing sequences, production quantities, and machining (or operation) characteristics, a new network presentation (or the problem is proposed. It is formulated as a simple 0-1 quadratic programming model with linear constraints. Then, the model is converted into a 0-1 integer programming model using a variable transformation technique. Lastly, some computational results are presented.

Establishment of Work and Time Standards in Machining rations including NC Machines (NC기계들이 포함된 기계공작공정에서의 작업연구)

  • 유인선;오근태
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.33
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    • pp.11-27
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    • 1995
  • This study sets a goal of establishing work standard and standard time in a machine tool process consisted of high-priced NC machine tools. Firstly, the theories of work standard and standard time in the field of NC machine tools are studies. Secondly, the theories are actually applied to a manufacturing company; work standard sheets are developed and applied to a machining center haying low operation rate, and then the increase in productivity is compared. Finally, problems to be studied later in relation to work standard and standard time are presented.

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A Study on Manufacturing System Integration with a 3D printer based on the Cloud Network (클라우드 기반 3D 프린팅 활용 생산 시스템 통합 연구)

  • Kim, Chi-yen;Espaline, David;MacDonald, Eric;Wicker, Ryan B.;Kim, Da-Hye;Sung, Ji-Hyun;Lee, Jae-Wook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.14 no.3
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    • pp.15-20
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    • 2015
  • After the US government declared 3D printing technology a next-generation manufacturing technology, there have been many practical studies conducted to expand 3D printing technology to manufacturing technologies, called AMERICA MAKES. In particular, the Keck Center, located at the University of Texas at El Paso, has studied techniques for easily combing the 3D stacking process with space mobility and expanded these techniques to simultaneous staking techniques for multiple materials. Additionally, it developed convergence manufacturing techniques, such as direct inking techniques, in order to produce a module structure that combines electronic circuits and components, such as CUBESET. However, in these studies, it is impossible to develop a unified system using traditional independent through simple sequencing connections. This is because there are many problems in the integration between the stacking modeling of 3D printers and post-machining, such as thermal deformations, the precision accuracy of 3D printers, and independently driven coordinate problems among process systems. Therefore, in this paper, the integration method is suggested, which combines these 3D printers and subsequent machining process systems through an Internet-based cloud. Additionally, the sequential integrated system of a 3D printer, an NC milling machine, machine vision, and direct inking are realized.

A Method of Eliminating Exceptional Elements by Tool Duplication in Cellular Manufacturing System. (셀화 제조를 도입한 FMS에서 공구중복에 의한 예외적 요소의 제거 방법)

  • Chang, Ik;Yoon, Chang-Won;Chung, Byung-Hee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.44
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    • pp.297-309
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    • 1997
  • Exceptional Elements(E.E) are generally eliminated by a machine duplication or a subcontract in cellular manufacturing system. One of the advantages in FMS consists of machines capable of multi-processing. This paper presents a method that eliminates E.Es by tool duplication. First, we develop the exceptional operation similarity(EOS) by machine cell-operation incidence matrix and part-operation incidence matrix. The EOS indicates a similarity of unperformable operations in each part when two exceptional parts are assigned to a machine cell. Secondly, a mathematical model to minimize tool duplication is developed by the EOS. Finally, a heuristic algorithm is developed to reflect dynamic situation in process of elimination of exceptional elements by the EOS and the mathematical model. A numerical example is provided to illustrate the algorithm.

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Machine-part Group Formation Methodology for Flexible Manufacturing Systems (유연생산시스템(FMS)에서의 기계-부품그룹 형성기법)

  • Ro, In-Kyu;Kwon, Hyuck-Chun
    • Journal of Korean Institute of Industrial Engineers
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    • v.17 no.1
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    • pp.75-82
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    • 1991
  • This research is concerned with Machine-Part Group Formation(MPGF) methodology for Flexible Manufacturing Systems(FMS). The purpose of the research is to develop a new heuristic algorithm for effectively solving MPGF problem. The new algorithm is proposed and evaluated by 100 machine-part incidence matrices generated. The performance measures are (1) grouping ability of mutually exclusive block-diagonal form. (2) number of unit group and exceptional elements, and (3) grouping time. The new heuristic algorithm has the following characteristics to effectively conduct MPGF : (a) The mathematical model is presented for rapid forming the proper number of unit groups and grouping mutually exclusive block-diagonal form, (b) The simple and effective mathematical analysis method of Rank Order Clustering(ROC) algorithm is applied to minimize intra-group journeys in each group and exceptional elements in the whole group. The results are compared with those from Expert System(ES) algorithm and ROC algorithm. The results show that the new algorithm always gives the group of mutually exclusive block-diagonal form and better results(85%) than ES algorithm and ROC algorithm.

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A self-organizing neural networks approach to machine-part grouping in cellular manufacturing systems (셀 생산 방식에서 자기조직화 신경망을 이용한 기계-부품 그룹의 형성)

  • 전용덕;강맹규
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.48
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    • pp.123-132
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    • 1998
  • The group formation problem of the machine and part is a very important issue in the planning stage of cellular manufacturing systems. This paper investigates Self-Organizing Map(SOM) neural networks approach to machine-part grouping problem. We present a two-phase algorithm based on SOM for grouping parts and machines. SOM can learn from complex, multi-dimensional data and transform them into visually decipherable clusters. Output layer in SOM network is one-dimensional structure and the number of output node has been increased sufficiently to spread out the input vectors in the order of similarity. The proposed algorithm performs remarkably well in comparison with many other algorithms for the well-known problems shown in previous papers.

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Integrated Object-oriented Modular Design of AMS (자동화 생산시스템의 통합 객체지향 Modular 설계 접근)

  • 김만균;함효준
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.43
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    • pp.163-174
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    • 1997
  • Development of control model and system for AMS (Automated Manufacturing Systems) has long been interested by researchers. Presented in the paper is a systematic approach to constructing a Petri-nets(PNs) model of AMS and method for design a graphical model of a AMS by using a new modeling tool which is called PNs. So, the procedure of modeling in the AMS is the same as current practice of AMS design and is based on the IOM (Integrated Object-oriented Modeling) paradigm. An AMS, which consists of various machine groups, can produce machine parts in different physical dimensions and lot size. To model such a system, the method which utilizes Sub-PNs are proposed. This enables the models according to part routings. The machine group which causes bottleneck is obtained and modified to relieve the problem. By iterating these steps which consist of modelling, simulation, and performance evaluation, an AMS can e obtained which satisfies the required manufacturing conditions. Finally, the implementation issues of PN modeling are addressed. The approach is the IOM from PN modeling by Sub-PNs and the other is a development of IOM tool for the performance evaluation of AMS.

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A Study on Machine and AGV Dispatching in Flexible Manufacturing Systems (유연생산 시스템에서 기계와 무인 운반차의 할당규칙에 관한 연구)

  • 박성현;노인규
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.43
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    • pp.81-89
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    • 1997
  • This study is concerned with the scheduling problems in flexible manufacturing systems(FMSs). The scheduling problem in FMSs is a complex one when the number of machines and jobs are increased. Thus, a heuristic method is recommended in order to gain near-optimal solutions in a practically acceptable time. The purpose of this study is to develope a machine and AGV dispatching algorithm. The proposed dispatching algorithm is a on-line scheduling algorithm considering the due date of parts and the status of the system in the scheduling process. In the new machine and AGV dispatching algorithm, a job priority is determined by LPT/LQS rules considering job tardiness. The proposed heuristic dispatching algorithm is evaluated by comparison with the existing dispatching rules such as LPT/LQS, SPT/LQS, EDD/LQS and MOD/LQS. The new dispatching algorithm is predominant to existing dispatching rules in 100 cases out of 100 for the mean tardiness and 89 cases out of 100 for the number of tardy jobs.

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