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학제간연구 과학기술학 뇌인지과학 기술정책 기타 복합학

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논문 기본 정보

자료유형
학술저널
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한국산업경영시스템학회 산업경영시스템학회지 산업경영시스템학회지 제40권 제4호
발행연도
2017.1
수록면
164 - 170 (7page)

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이 논문의 연구 히스토리 (2)

2017

AHP기법을 활용한 머시닝센터의 최적 커터공구 결정
이교선 산업경영공학과 2017.01 학위논문
AHP를 활용한 머시닝센터의 밀링커터 선정
이교선 ,  박수용 ,  이동형 산업경영시스템학회지 2017.01 학술저널

초록· 키워드

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The CNC machine tool field is showing a growing trend with the recent rapid development of manufacturing industries such as semiconductors, automobiles, medical devices, various inspection and test equipment, mechanical metal processing equipment, aircraft, shipbuilding and electronic equipment. However, small and medium-sized machining companies that use CNC machine tools are experiencing difficulties in increasingly intense competition. Especially, small companies which are receiving orders from 3rd or 4th venders are very difficult in business management. In recent years, company S experienced difficulty to make product quality and delivery time due to the ignorance of the processing method when manufacturing cooling plate jig made of SUS304 material used for cell phone liquid crystal glass processing. In order to solve these problems, we redesigned the process according to the size of our company and tried to manage all processes with quantified data. In the meantime, we have found that there is a need to improve the cutter process, which accounts for most of the machining process. Therefore, we have investigated the correlation between RPM and FEED of three cutters that have been used in the past. As a result, we found that it is the most urgent problem to solve the roughing process during the cutter operation which occupies more than 70% of the total machining. In order to shorten the machining time and improve the quality in machining of SUS304 cooling plate jig, we select the main factors such as price, tool life, maintenance cost, productivity, quality, RPM, and FEED and use AHP to find the most suitable milling cutter. We also tried to solve the problem of delivery, quality and production capacity which was a big problem of S company through experiment operation with selected cutter tool. As a result, the following conclusions were drawn. First, the most efficient of the three cutters currently available in the machining center has proven to be an M-cutter. Second, although one additional facility was required, it was possible to produce the existing facilities without additional investment by supplementing the lack of production capacity due to productivity improvement. Third, the Company’s difficulties in delivery and capacity shortfalls have been resolved. Fourth, annual sales increased by KRW 109 million and profits increased by KRW 32 million annually. Fifth, it can confirm the usefulness of AHP method in corporate decision making and it can be utilized in various facility investment and process improvement in the future.
#AHP Method #Milling Cutter #SUS304 Cooling Plate Jig #Machining Center

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참고문헌 (12)

참고문헌 신청
Ayag, Z. / 2007 / A Hybrid Approach to Machine-tool Selection through AHP and Simulation / International Journal of Production Research 45 (9) : 2029 ~ 2050 google schola Cimren, E. / 2007 / Development of a machine tool selection system using AHP / International Journal of Advanced Manufacturing Technology 35 (3-4) : 363 ~ 376 google schola Ic, Y. T. / 2012 / Development of a Component-based Machining Centre Selection Model using AHP / International Journal of Production Research 50 (22) : 6489 ~ 6498 google schola Lee, D. H. / 2011 / Plant Engineering / Ewha Publishing Co google schola Ryu, H / 2016 / A Study on Prioritizing in Job Creation Policies :Focusing on AHP Analysis on the Policies of Daejeon Metropolitan City / PhD’s / Paichai University google schola

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