• 적정기술학회지
• /
• 제5권2호
• /
• pp.70-81
• /
• 2019

의류산업은 대표적인 노동집약적인 산업 중 하나로 의류 제조의 기본 공정인 봉제 작업은 인력에 대한 의존도가 매우 높다. 의류 생산비용은 라인의 효율성에서 큰 영향을 받는데, 생산비용의 절감을 위해서는 생산 속도를 조절하여 라인의 균형 유지하는 것이 중요하다. 그러나, 현재 의류 생산라인에서 활용되고 있는 인력에 의한 생산 실적 집계 방식은 이를 위한 부수적인 인력의 소요 등으로 인한 추가 비용이 소요되어 중소기업들이 직접 적용하기 쉽지 않다. 완제품의 인력에 대한 의존도는 집계 시간의 추가 소요와 인적 오류가 크게 잠재되어 생산비용의 증가와 함께 효율성의 저하를 초래할 수 있다. 본 논문에서는 에너지 소비 데이터를 수집하고 이를 CNN (Convolutional Neural Network) 기법을 적용하여 분석함으로써 재봉 작업을 통하여 생산한 제품의 수량을 추적하고 자동으로 집계할 수 있는 봉제 작업 생산 추적 시스템을 제안한다. 개발된 시스템을 통하여 2종의 재봉 작업을 테스트 한 결과, 최대 98.6 %의 정확도를 보이며 재봉 작업을 감지할 수 있었다. 개발도상국에서 의류봉제산업은 매우 중요한 산업이나, 위에 언급한 문제들을 해결하기 위하여 고가의 첨단기술을 적용하는 등 많은 자본을 투입하는 것은 크게 제한된다. 적정 기술을 적용한 본 기술은 이러한 개발도상국의 의류산업에 큰 도움을 줄 수 있을 것으로 판단된다.

• Industrial Engineering and Management Systems
• /
• 제14권4호
• /
• pp.372-378
• /
• 2015

In labor-intensive enterprise, such as garment factory, assembly line is widely used as a manufacturing process for reducing costs and production time. However, for the sake of the various working capacity of worker, idle or delay may happen and influence the rear processes. If these unforeseeable delay happened continuously, it may influence the whole manufacturing process and a model, which is called limited-cycle model with multiple periods (LCMwMP), is assumed to evaluate the influence risk. In order to minimize the risk, the assignment of the workers is focused on. In this paper, we deal with an assembly line as LCMwMP model when two kinds of workers exist, whose efficiency is assumed to two different groups. We consider an optimization problem for finding an assignment of workers to the line that minimizes total expected risk, which is exchanged to expected cost by reset model of LCMwMP. First, reset model as a simple model of LCMwMP is introduced. Then, some hypotheses of the rules of the optimal worker assignment are proposed and some numerical experiments are researched assuming the processing time as Erlang distribution. Finally, the other rules on other certain conditions are discussed.

• 한국의류학회지
• /
• 제39권6호
• /
• pp.877-884
• /
• 2015

Polytrimethylene Terephthalate (PTT) is an eco-fiber with good elastic properties; however, it requires more detailed studies related to spinnability according to blending of various kinds of fibers. The evolution of spinning technology was focused on improved productivity with good quality; in addition, air vortex spinning was recently invented and applied on the spinning factory as the facility with good productivity and quality. More detail spinning technology according to the blending of various kinds of fibers on the air vortex spinning system is required to obtain good quality yarns for high emotional fabrics. In this paper, the physical properties of air vortex, compact and ring staple yarns using PTT/wool/modal blend fibers were investigated with yarn structure to promote high functional PTT that includes fabrics for high emotional garments. Unevenness of air vortex yarns was higher than those of compact and ring yarns; in addition, imperfections were greater than those of compact and ring yarns, which was attributed to a fascinated vortex yarn structure. Tenacity and breaking strain of air vortex yarns were lower than those of compact and ring yarns, caused by higher unevenness and more imperfections of air vortex yarns compared to compact and ring yarns. Vortex yarns showed the highest initial modulus and ring yarns showed the lowest ones which results in a stiff tactile feeling of air vortex yarns in regards to the initial modulus of yarns. Dry and wet thermal shrinkages of air vortex yarns were lower than ring yarns. Good shape retention of vortex yarns was estimated due to low thermal shrinkage.