• 대한가정학회지
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• 제46권2호
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• pp.51-58
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• 2008

The purpose of this study was to analyze how the appreciation or recognition of quick response systems, with the utilization of technology, can improve operations for businesses in the DongDaeMoon fashion market. A survey was conducted from April 25 to May 10 in 2007, among owners and designers of wholesale shops in the DongDaeMoon fashion market. Data was collected from 270 subjects, and general descriptive and comparative statistical analysis was applied to acquire various parameters. Firstly, the product types within the DongDaeMoon fashion market were small and medium quantity batch production systems. The majority of businesses adopted the production strategy of outsourcing through subcontracted factories. To re-order, a fashion merchandising required 2 to 3 days. Secondly, the design sources of fashion merchandises were national fashion brands, popular items within the same industries, and also fashion magazines. New products was made within 4 days after a sample item was received. Business acquaintances were fashion retail shops of DongDaeMoon, and internet or home shopping companies. Thirdly, the recognition of importance and effects of quick response systems was difference between high and low group of the utilization of technology in the DongDaeMoon fashion market.

• 복식문화연구
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• 제17권4호
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• pp.723-732
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• 2009

The quick response(QR) system is very popular in Korean apparel companies. However, the usage of QR system was not known well. The purpose of this study is to identify the usage of the quick response decision support system(QR DSS) and postponement manufacturing in the Korean apparel company. The researched company was the only one which used the QR DSS. The researchers carried out the depth interview with the QR decision makers of the company. This company had 14 brands, and had used the QR DSS since January, 2008. The results are as follows: The QR DSS was supportive computer software program, and it helped the staffs to make agile decision about QR repeat production of clothing. The QR DSS automatically calculated the related data, and suggested the expected sales volume and the proper supply amounts of the styles. There were four functions in QR DSS : 'QR Alert', 'Proper Supply Amount Simulation', 'Sensible QR', and 'Supply/Sales Simulation by Item'. The men's clothing brands effectively used 'Supply/Sales Simulation by Item' function. And the women's clothing brands effectively used 'QR Alert' function. This company also used the postponement production system for QR repeat production. The postponement production was conducted with four methods : the yarn stocking, the grey fabric stocking, the dyed fabric stocking, and the fabric sourcing. The men's clothing brands usually used of the yarn stocking methods and the dyed fabric stocking methods. The women's clothing brands usually used the grey fabric stocking methods. By using QR DSS and postponement production system the company was able to shorten the lead time for QR decision making.

• 대한안전경영과학회지
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• 제7권5호
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• pp.233-241
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• 2005

The most important thing in the garments enterprises is fast reaction. Expecially in the China has both many population and large territory, so each region of China, for instance, northeast, northwest, huanan, huabei, has various climate and considerably different temperature. As a result China garments enterprises require different clothes at the same time. This study build a reliable market-response process as a sub module of SCM that lay emphasis on production and sale cope with specific character of China. This process build a information chain including manufacture-planning, manufacture-ordering, production, arrivals of goods, distribution, sale, sale-evaluation, cross shipment, supplement shipment, and ordering popular goods and similar products. As a result of those, the focused points of this process are real time data gathering and various analysis of data, so it can be possible supporting more faster and more accurate market decision making system and our proposed goal is accomplishment of management profit.

• 한국의류학회지
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• 제20권4호
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• pp.586-595
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• 1996

급변하는 국내외의 교역환경 변화에 따라 의류산업에도 새로운 경영 전략 수립이 요구되고 있다. Quick Response(QR)는 의류제품을 생산하는 기업의 경쟁력을 증가시키기 위해 소개된 새로운 경영 전략으로서, 유통 채녈 사이에 정보와 상품의 흐름을 효울화시켜 최대의 소비자 만족을 제공한다. 본 연구의 목적은 QR technologies의 사용현황을 밝히고 기업 특성과 QR technologies 사용수준과의 관계를 조사하였다. 종족변수는 QR technologies의 사용 수준이며, 선별된 독립변수들은 기업크기 (firm size), 기업전략 (organizational strategy), 제품종류(product category) , 패션변화(fashion change), 주기 적변화(seasonal change)였다. 조사대상은 미국 전역에서 무작위로 추출된 306개의 의류업체를 대상으로 하였으며, 1차 우편과 2차 전화로, 설문지를 통해 자료수집을 하였다. 설문 응답률은 47%(n=103)였고, 자료의 분석은 기술통계(i, e., 빈도, 퍼센트)와 비모수통계기법을 사용하였다. 가장 많이 사용되고 있는 QR technologies는 소량주문(small lot orders) , 단기 사이클 재단 계획 (short cycle cut planning)과 고객의 견이 반영 된 생산계획 (Production planning with customers)이였다. 가장 적게 사용되고 있는 QR technologies는 전자 재주문(electronic reorder)과 단위 생산 시스템 (unit production system)이 였다. QR technologies 사용수준에 관계가 있는 것은 기업크기 (firm size), 기업전략 (organizational strategy), 패션변화(fashion change) 임으로 나타났다. 의류업체의 크기가 클수록, 혁신적 선도기업 일수록, 패션변화가 큰 제품을 취급할수록 QR technologies의 사용수준이 높은 것으로 나타났다. 의류업체는 자원과 생산하는 제품종류에 따라 경영전략과 QR technologies의 사용수준이 다양하였다.

• 산업경영시스템학회지
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• 제35권1호
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• pp.66-78
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• 2012

This paper proposes a computation model of the quantity supplied to optimize inventory costs for the fast fashion. The model is based on a forecasting, a store and production capacity, an assortment planning and quick response model for fast fashion retailers, respectively. It is critical to develop a standardized business process and mathematical model to respond market trends and customer requirements in the fast fashion industry. Thus, we define a product supply model that consists of forecasting, assortment plan, store capacity plan based on the visual merchandising, and production capacity plan considering quick response of the fast fashion retailers. For the forecasting, the decomposition method and multiple regression model are applied. In order to optimize inventory costs. A heuristic algorithm for the quantity supplied is designed based on the assortment plan, store capacity plan and production capacity plan. It is shown that the heuristic algorithm produces a feasible solution which outperforms the average inventory cost of a global fast fashion company.

• 한국의류학회지
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• 제33권12호
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• pp.1910-1923
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• 2009

이 논문은 생산 과정에 영향을 미치는 다양한 요소들 즉, 생산 원가, 생산 장소, 그리고 전반적인 경제 여건에 대해서 고찰하고 있다. 왜냐 하면, 현재 많은 생산 시스템들이 원가 상승의 압박에 의해 생산 시설의 지역이동이나 정보 통신을 이용한 효율적인 공급사슬관리를 운영하길 원한다. 예를 들어, 중국에서의 노동 생산 원가는 상당히 증가 하고 있기 때문에 그 생산 시설이 서서히 동남아시아로 이동하고 있다. 그러나 동남아시아의 인프라나 그 지역 노동자의 생산 숙련도가 아직은 미흡하기 때문에 생산 시설을 옮기기 보다 더욱 효과적인 방법들이 강구되고 있다. 그러므로 이 논문은 그러한 다양한 요소들이 생산 과정에 미치는 영향을 고찰 함으로써, 우리가 그 요소들을 이해하고 앞으로 어떤 방향으로 생산 시스템을 운영해 나가야 할지 방향을 제시해 줄 수 있을 거라 판단된다.

• 지능정보연구
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• 제16권3호
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• pp.163-179
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• 2010

최근 패션산업에서는 고객의 니즈가 다양해지고 공급 리드타임이 크게 단축됨에 따라 최신 유행을 즉각 반영한 디자인, 빠른 상품 회전율로 승부하는 패스트 패션이 각광받고 있다. 또한, 기업간 경쟁도 심화되면서 얼마나 신속하게 효율적으로 고객의 니즈를 만족시킬 것인가가 패션산업의 중요한 성공요인으로 강조되고 있다. 따라서, 다품종 소량 신속생산이 강조되는 패스트 패션 산업에서는 트랜드 변화에 신속 대응을 지원하는 지능형 신속대응시스템(Intelligent Quick Response System : IQRS) 구축 및 지원을 절실히 요구하고 있다. 본 논문은 패스트 패션 산업 IQRS 구축에서 요구되는 신속대응 프로세스 수립, 지능적 판단을 지원하는 신속대응 기준 및 실행, 신속대응 물량 산정 및 시기 의사결정 모델을 제시하였다. 또한, 신속대응 의사결정의 합리성을 검증할 수 있는 KPI(Key Performance Indicator)를 설계하여 모델의 신뢰도를 향상시켰다. 제시된 각 모델은 A사의 ERP 구현사례를 통해 실용성을 검증하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 춘계학술대회
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• pp.664-665
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• 2016

본 논문에서는 QR(Quick Response)코드 기반 사물인터넷 디바이스 생산/폐기 정보 식별체계를 제안한다. 전 세계적으로 매년 2천~5천만 톤의 전자폐기물이 발생하며, 한국의 경우 3천 5백만대의 전자제품이 교체 또는 폐기된다. 시장조사 기관인 가트너에 따르면 사물인터넷 디바이스가 2013년 26억 개에서 2020년 300억개로 증가할 것으로 예상되나 폐기와 환경을 고려한 관리 규정 및 체계가 미비하다. 이러한 문제를 해결하기 위해서 사물인터넷 디바이스의 생산/폐기 정보를 반영할 수 있는 식별체계가 필요하다. 본 논문에서 제안한 QR코드 식별체계는 사물인터넷 디바이스의 생산자, 제품모델, 시리얼 번호, 재활용률, 재생률, 재활용 가능률, 재생 가능률 정보를 QR코드에 담아 기존의 RFID 식별체계보다 대용량 정보를 저장할 수 있다. 또한 사용자는 스마트폰 애플리케이션으로 QR코드를 인식하여 생산/폐기 정보를 바로 확인할 수 있다.

• 복식
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• 제44권
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• pp.168-179
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• 1999

In order to settle down structural causes of the process of distribution and apparel production in domestic fashion industry, and to raise competitive power with changing market environment, we need to bulid up Quick Response(QR) system based on information technology such as EDI(Electronic Data Interchange), KAN(Korea Article Number), and POS(Point of Sales), POS is the most valuable information tool to promote QR system paractically. The purpose of this study was to investigate motivation of POS adoption, problems in operating the system, and satisfaction on POS effects. Data were collected by sending questionnaire to the managers in apparel firms which were using POS. Statistical devices were t-test, frequency with SAS program. The results fo the study were as follows: 1. The degree of satisfaction to POS effects was rather good. Especially, rapid evaluations on new products gave the greatest satisfaction to the users. 2. Satisfaction degree of POS effects according to introduces time and organization characteristic(number of employees) have no significant difference, but the firms which have higher annual sales volume showed higher satisfaction degree. Merchandise department showed higher satisfaction on POS effects. 3. The motivation of POS adoption was an effective logistics control with consumer information as a marketing strategy. The problems in operating the system were lack of investment, and professionals. They almost didn't have KAN code, instead, have their own code system.

• 산업경영시스템학회지
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• 제37권4호
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• pp.126-133
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• 2014

This paper addresses order-lot pegging issues in the supply chain of a semiconductor business. In such a semiconductor business (memory or system LSI) order-lot pegging issues are critical to achieving the goal of ATP (Available to Promise) and on-time production and delivery. However existing pegging system and researches do not consider capacity limit on bottleneck steps. This paper presents an order-lot pegging algorithm for assigning a lot to an order considering quality constraints of each lot and capacity of bottleneck steps along the entire FAB. As a result, a quick and accurate response can be provided to customer order enquiries and pegged lot lists for each promised orders can be shown transparently and short or late orders can be detected before fixing the order.