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병목공정 자원할당 방식에 따른 강교 제작공장 생산성 차이 분석

Analysis of Productivity Differences in Steel Bridge Manufacturing Plants According to Resource Allocation Methods for the Bottleneck

  • 이재일 (충북대학교 토목공학과) ;
  • 정은지 (한미글로벌 글로벌사업부) ;
  • 정근채 (충북대학교 토목공학부)
  • Lee, Jaeil (Department of Civil Engineering, Chungbuk National University) ;
  • Jeong, Eunji (Department of Global Business, Hanmiglobal) ;
  • Jeong, Keunchae (School of Civil Engineering, Chungbuk National University)
  • 투고 : 2022.10.21
  • 심사 : 2023.02.20
  • 발행 : 2023.03.31

초록

본 연구에서는 제조업 분야에서 보편적으로 활용되어 온 제약이론을 바탕으로 강교 제작공장의 생산성을 향상시키기 위한 자원할당 방법론을 제안한다. 이를 위해 도장 공정을 병목공정으로 정의한 후, 공정 전용 자원할당(OSRA), 제품 전용 자원할당(PSRA), 범용 자원할당(GRA) 등 3가지의 자원할당 방법론을 개발하였다. 강교 공급사슬 시뮬레이션 모델을 활용한 성능평가 실험 결과, GRA 방법론이 재공재고수(NWIP)와 대기시간(WT) 측면에서 가장 우수한 성능을 보였다. 특히, 강교 제작공장의 부하와 부하 변동성이 증가할수록 다른 두 전용 자원할당 방식과의 성능 격차는 더욱 커졌다. 평균적으로 GRA는 NWIP과 WT를 OSRA 대비 36.2%, 34.6%, PSRA 대비 71.0%, 70.4% 감소시켰다. 재공재고수와 대기시간의 감소는 병목현상의 완화를 의미하며, 이는 결국 강교 제작공장의 생산성이 향상되었음을 의미한다.

In this study, we proposed resource allocation methodologies to improve the productivity of steel bridge manufacturing plants based on the constraint theory which is very popular in the area of manufacturing industries. To this end, after defining the painting process as a bottleneck, three resource allocation methodologies were developed: Operation Specific Resource Allocation (OSRA), Product Specific Resource Allocation (PSRA), and General Resource Allocation (GRA). As a result of experiments for performance evaluation using a simulation model of the steel bridge supply chain, GRA showed the best performance in terms of the Number of Work-In-Process (NWIP) and Waiting Time (WT), in particular, as workload itself and its variability were increased, the performance gap with the specific resource allocation became further deepened. On average, GRA reduced NWIP by 36.2% and WT by 34.6% compared to OSRA, and reduced NWIP by 71.0% and WT by 70.4% compared to PSRA. The reduction of NWIP and WT means alleviating the bottleneck of the painting process, which eventually means that the productivity of the steel bridge manufacturing plant has improved.

키워드

과제정보

이 논문은 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No.2020R1F1A1048256).

참고문헌

  1. Chae, J.I., and Park, Y.B. (2008). "A Case Study on the Throughput Improvement in the Semiconductor Package Process." KIIE Conference 2008, KIIE, pp. 1333-1337. 
  2. Goldratt, E.M. (1984). The Goal., North River Press. 
  3. IBM Corp. (2019). IBM SPSS Statistics for Windows (26.0). http://www.ibm.com 
  4. Jung, I.S. (2018). "A Preliminary Study for Productivity Improvement of Construction Industry based on Big Data Analysis." Proceedings of the KCC 2018 Conference, KIISE, pp. 19-20. 
  5. Kim H.C., Hwang, Y.K., and Kim, K.R. (2014). "Study on the Application of Multi-skilled labors to Factory Production Process for Securing Economic Feasibility of Modular Unit." Korean Journal of Construction Engineering and Management, KICEM, 15(1), pp. 11-19.  https://doi.org/10.6106/KJCEM.2014.15.1.011
  6. Kim, M.J., Park, M.S., Lee, H.S., Lee, J.H., and Lee, K.P. (2015). "Development of Manufacturing Planning for Multi Modular Construction Project based on GeneticAlgorithm." Korean Journal of Construction Engineering and Management, KICEM, 16(5), pp. 54-64.  https://doi.org/10.6106/KJCEM.2015.16.5.054
  7. Kwon, H.J., Jeon, S.W., Lee, J.I., and Jeong, K.C. (2021). "Development of a Simulation Model for Supply Chain Management of Precast Concrete." Korean Journal of Construction Engineering and Management, KICEM, 22(5), pp. 86-98. 
  8. Lee, D.Y., Nam, S.H., Lee, J.S., Jung, D.I., Kim, K.R., and Cho, B.H. (2019a). "Factory Production Management of Modular Units Using MFD 2019." Journal of the Architectural Institute of Korea Structure & Construction, AIK, 35(6), pp. 139-146. 
  9. Lee, H.K., Jung, W.M., and Kim, H.S. (2006). "TOC Theory Applications for Construction Management." AIK Conference 2006, AIK, 26(1), pp. 649-652. 
  10. Lee, H.S., Yang, J.H., Noh, S.D., and Park, Y.J. (2019b). "A Study on the Determination of Real Time Proper Vehicle Input Order Considering the Bottleneck Process of Automobile Assembly Line." Korean Journal of Computational Design and Engineering, CDE, 24(1), pp. 30-38.  https://doi.org/10.7315/CDE.2019.030
  11. Lee, J.I., Jeong, E.J., Kim, S.N., and Jeong, K.C. (2022). "Development of a Simulation Model for Supply Chain Management of Modular Construction based Steel Bridge." Korean Journal of Construction Engineering and Management, KICEM, 23(2), pp. 3-15 
  12. Lee, S.Y. (2013). "Eco-friendly Construction and Activation of Steel Structure." KSCE Jorunal of Civil and Environmental Engineering Research, KSCE, 61(2), pp. 19-21. 
  13. Little, J.D.C. (1961). "A Proof for the Queuing Formula:L=λ W." Operations Research, 9(3), pp. 383-387.  https://doi.org/10.1287/opre.9.3.383
  14. Mun, J.S., Park, S.Y., and Lee, D.H. (2016). "A Study on the Productivity Improvement of the Dicing Blade Production Process." Journal of Korean Society of Industrial and Systems Engineering, 39(3), KSIE, pp. 147-155.  https://doi.org/10.11627/jkise.2016.39.3.147
  15. Park, K.M., and Jeong, S.J. (2016). "A Study onthe Improvement of Work Flow and Productivity in Complex Manufacturing Line by Employing the Effective Process Control Methods." Journal of the Korea Academia-Industrial Cooperation Society, KAIS, 17(5), pp. 305-315.  https://doi.org/10.5762/KAIS.2016.17.5.305
  16. Rockwell Automation (2020). Arena Simulation Software (16.00.00). http://www.rockwellautomation.com