Acknowledgement
이 논문은 호전실업의 재원으로 서울대-호전 의류 스마트 팩토리 연구단의 지원을 받아 수행된 봉제 공정 모니터링 및 최적화 시스템 개발 과제(과제번호: SNU 0423-20190068)와 과학기술정보통신부의 재원으로 한국연구재단의 지원을 받아 수행된 개도국과학기술지원사업 (과제번호: 2017K1A3A9A04013801)의 연구 결과입니다.
References
- Buttner, K.-H. and Bruck, U. (2017). Use Case Industrie 4.0-Fertigung im Siemens Elektronikwerk Amberg, Handbuch Industrie 4.0, Springer (New York), pp. 45-70.
- Strahle, J. and Grunewald, A. K. (2017). The prosumer concept in fashion retail: Potentials and limitations, In Green fashion retail, Springer, pp. 95-117.
- 곽재원, 김용수, 유영제, 윤제용, 조규진, 손문탁, 장수영. (2018). 4차 산업혁명 시대 속의 적정 기술의 역할, Journal of Appropriate Technology 4(2), pp. 70-73.
- O'Connell, L. (2020). Global Apparel Market-Statistics & Facts, https://www.statista.com/topics/5091/apparel-market-worldwide/. Jan 21, 2020. Accessed on
- 이나경. (2016). 인도네시아 노동법의 체계-「기간을 정한 근로자(계약직)에 관한 법률」을 중심으로, 비교법학, 27, pp. 47-78.
- 이혜경, 정기선, 이정환, 설동훈. (2002). 국내외 한국기업의 외국인력 관리에 관한 비교연구, 한국사회학, 36(3), pp. 47-77.
- 김규만, 신만수. (2001). 한국, 인도네시아, 중국종업원 조직 몰입특성에서 개인적 가치성향의 매개효과에 대한 연구, 경영학 연구, 30(3), pp. 877-904.
- Seifermann, S., Bollhoff, J., Metternich, J. and Bellaghnach, A. (2014). Evaluation of Work Measurement Concepts for a Cellular Manufacturing Reference Line to Enable Low Cost Automation for Lean Machining, Procedia CIRP 17, pp. 588-593. https://doi.org/10.1016/j.procir.2014.01.065
- Jadhav, S. S., Sharma, G. S., Daberao, A. M. and Gulhane, S. S. (2017). Improving Productivity of Garment Industry with Time Study, International Journal on Textile Engineering and Processes, 3, pp. 1-6.
- Moktadir, M. A., Ahmed, S., Tuj Zohra, F. and Sultana, R. (2017). Productivity Improvement by Work Study Technique: A Case on Leather Products Industry of Bangladesh, Industrial Engineering & Management, 06(01). doi:10.4172/2169-0316.1000207.
- Ahmed, S., and Chowdhury, Md. S. I. (2018). Increase the Efficiency and Productivity of Sewing Section through Low Performing Operators Improvement by using Eight Wastes of Lean Methodology, Global Journal of Researches in Engineering: J, 18, pp. 43-60.
- Iqbal, M., Ali, M., Haque, R. and Moin, C. J. (2018). Performance Variation with time of Apparel Sewing Workers: A Case Study, European Scientific Journal, 14(15), pp. 485-498.
- Rogale, D. (1995). Garment sewing processing parameters: determination using numerical methods and computers, International Journal of Clothing Science and Technology, 7(2/3), pp. 56-60. https://doi.org/10.1108/09556229510087164
- Rogale, D., Petrunic, I., Dragcevic, Z. and First Rogale, S. (2005). Equipment and methods used to investigate energy processing parameters of sewing technology operations, International Journal of Clothing Science and Technology, 17(3/4), pp. 179-187. https://doi.org/10.1108/09556220510590876
- Rybicki, M. (2011). Modelling of a Tachogram of Machine Sewing Process, FIBRES & TEXTILES in Eastern Europe, 19, pp. 48-54.
- Jung, W. K., Kim, H., Park, Y. C., Lee, J. W. and Ahn, S. H. (2019). Smart sewing work measurement system using IoT-based power monitoring device and approximation algorithm. International Journal of Production Research, https://doi.org/10.1080/00207543.2019.1671629.
- Thomas J. Y. Kim, Jung, W. K., Kim, H., Park, Y. C., Lee, J. W. and Ahn, S. H. (2019). CNN Classifier Based Energy Monitoring System for Production Tracking of Sewing Process Line, Journal of Appropriate Technology 5(2), pp. 70-81. https://doi.org/10.37675/jap.2019.5.2.70