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의류 물류센터 보관효율 향상을 위한 실증적 연구 : 행거 랙 보관과 건물기둥 간격을 중심으로

An Empirical Study on Clothing Distribution Center to Improve Storage Efficiency : Especially on Hanger Rack Storage According to Distance between Columns

  • 남희대 (명지대학교 대학원 산업경영공학과)
  • Nam, Hee Dae (Department of Industrial and Management Engineering Graduate School, Myoungji University)
  • 투고 : 2019.11.07
  • 심사 : 2019.12.03
  • 발행 : 2019.12.30

초록

Sales of the Korean clothing industry grew to 16.9 percent on-year in 2010, but the growth rate dropped to 3 percent from 2011 to 2016 and the overall market began to slump to 1.1.6 percent in 2017. The competitiveness of clothing companies is also a major sector in logistics capability, and the average logistics cost of domestic clothing companies is 8.3 percent of sales in 2011, higher than the average 8 percent of domestic industries, and 36.4 percent of the total storage cost in 2011, higher than the 28.8 percent share of the total storage cost of domestic companies. As domestic production conditions such as wage hikes and labor disputes worsened in the 1990s, production facilities were rapidly moved overseas, which led many clothing companies to have no production facilities or a minimal production base in Korea and focus on marketing and design capabilities. The total storage capacity and storage efficiency of the logistics center became very important as the products were changed to the form of mass warehousing and small-volume forwarding. Research shows that building column spacing, a model of this research, can affect the amount of hanger rack storage empirically, so for sustainable growth of clothing companies, it is necessary to improve competitiveness in the logistics market by reducing costs and improving efficiency to overcome difficulties in corporate management. Because logistics costs are 8.3 percent and operating profit to sales ratio is 2 percent, it is expected that operating profit will increase by 41.5 percent if logistics costs are reduced by 10 percent. If 10% of storage cost is saved based on storage cost, operating profit is expected to increase by 15% To strengthen the competitiveness of the clothing industry, a reduction in logistics costs is essential. Therefore, the purpose of this study is to provide hints that logistics experts can have empirically small amounts in reducing storage costs through column spacing adjustment of logistics centers that have not been dealt with statistically until now, and to contribute to the continued growth of clothing companies and the development of the domestic logistics industry.

키워드

참고문헌

  1. 김인규(2016), 면세점 물류센터의 피킹업무 효율 향상을 위한 휴리스틱 방법에 관한 연구, 명지대학교 일반대학원 박사학위논문.
  2. 김성태 외(2005), 물류센터의 건설과 운영, 범한.
  3. 김계수(2004), AMOS 구조방정식 모형분석, 데이터솔루션.
  4. 김현(2008), "효율적 오더피킹하에서 창고 레이아웃 설계효과에 관한 연구." 한국항해항만학회논문지, 32(2): 268-270.
  5. 대한상공회의소(2012), 기업물류비실태조사.
  6. 물류신문사(2015), 2015물류산업총람, 물류신문사.
  7. 박창현(2016), 물류센터 피킹시스템 도입에 따른 출고 효율화 개선 사례에 대한 연구, 숭실대학교 일반대학원 석사학위논문.
  8. 박정섭(2013), 물류관리사: 보관하역론 물류관련법규, 시대고시기획.
  9. 배기형(2008), "물류산업의 경제적 효과 분석." 한국물류학회지, 18(1):159-178.
  10. 신재근(2010), 물류센터의 효율적인 운영에 대한 연구, 서경대학교 경영대학원 석사학위논문.
  11. 오영택(2012), 물류관리론, 도서출판 범한.
  12. 오영택(2006), 의류산업의 물류공동시스템 도입에 관한 연구, 명지대학교 산업대학원 박사학위논문.
  13. 유강철(2011), 물류센터의 출고량 변화에 따른 Pick to Light와 Put to Light 생산성 비교 연구, 명지대학교 일반대학원 박사학위논문.
  14. 이우열(2016), 의류물류 입출고 개선방안에 관한 연구, 한국해양대학교 석사학위논문.
  15. 임종원(1992), "Relationship Marketing과 Relationship Merit." 마케팅연구, 7(1):173-195.
  16. 지운식(2019), Fast Moving Zone을 活用한 스포츠용품 反應出庫 피킹 效率性 向上에 關한 硏究, 명지대학교 일반대학원 박사학위논문.
  17. 지식경제부 기술표준원(2009), KS T 2027 산업용 랙, 지식경제부 기술표준원.
  18. 채서일(1992), 사회과학조사방법론, 서울: 학현사.
  19. 한국교통연구원(2014), 2012 국가물류비 산정 및 추이 분석.
  20. Y. Ben Mahmaud(1987), The Effect of Warehouse Layout on Order Picking Efficiency, Oregon State University, Corvallis, OR.
  21. F. Caron, G. Marchet, A. Perego(1998), "Routing Policies and COI-based Storage Policies in Picker-to-part System." International Journal of Production Research, 36(3):713-732. https://doi.org/10.1080/002075498193651
  22. R. De Koster, E. Van Der Poort(1983), Routing order-pickers in a warehouse: A Comparison between optimal and heuristic solutions, Technical Report, Erasmus University, Rotterdam.
  23. J. F. Hair Jr, R. E. Anderson, R. L. Tatham, W. C. Black(1998), Multivariate Data Analysis(5th ed.), Prentice, Hall.
  24. J. Renaud, A. Ruiz(2008), "Improving Product Location and Order Picking Activities on a Distribution Center." Journal of Operational Research Society, 59(12):1603-1613. https://doi.org/10.1057/palgrave.jors.2602514
  25. J. C. Pan, M. Wo(2012), "Throughput Analysis for Order Picking System with Multiple Pickers and Aisle Congestion Consideration." Computers & Operations Research, 39:1661-1672. https://doi.org/10.1016/j.cor.2011.09.022
  26. C. C. Jane, Y. W. Laith(2005), "A clustering algorithm for item assignment in a synchronized zone order picking system." European Journal of Operational Research, 166:489-496. https://doi.org/10.1016/j.ejor.2004.01.042