Industry 4.0’s goal is the ‘Smart Factory’ that integrates and controls production process, procurement, distribution and service based on the fundamental technology such as internet of the things, cyber physical system, sensor, etc. Basic requirement for successful promotion of this Industry 4.0 is the large supply of semiconductor. However, company I who produces dicing blades has difficulty to meet the increasing demand and has hard time to increase revenue because its raw material includes high price diamond, and requires very complex and sensitive process for production.
Therefore, this study is focused on understanding the problems and presenting optimal plan to increase productivity of dicing blade manufacturing processes. We carried out a study as follows to accomplish the above purposes. First, previous researches were investigated. Second, the bottlenecks in manufacturing processes were identified using simulation tool (Arena 14.3). Third, we calculate investment amount according to added equipments purchase and perform economic analysis according to cost and sales increase. Finally, we derive optimum plan for productivity improvement and analyze its expected effect.
To summarize these results as follows : First, daily average blade production volume can be increased two times from 60 ea. to 120 ea. by performing mixing job in the day before. Second, work flow can be smoother due to reduced waiting time if more machines are added to improve setting process. It was found that average waiting time of 23 minutes can be reduced to around 9 minutes from current process. Third, it was found through simulation that the whole processing line can compose smoother production line by performing mixing process in advance, and add setting and sintering machines. In the course of this study, it was found that adding more machines to reduce waiting time is not the best alternative.

1. 서 론
 2. 기존연구 고찰
 3. 다이싱 블레이드의 제조공정 현황 및 문제점
  3.1 I사의 현황
  3.2 다이싱 블레이드 제조공정현황 및 문제점
 4. 다이싱 블레이드 제조공정의 생산성향상 방안
  4.1 공정개선 대안
  4.2 경제성 분석
 5. 결론 및 향후연구
 References

• 문정수(한밭대학교 산업경영공학과) | Jung-Su Mun
• 박수용(한밭대학교 산업경영공학과) | Soo-Yong Park
• 이동형(한밭대학교 산업경영공학과) | Dong-Hyung Lee Corresponding Author