• 한국의류학회지
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• 제31권1호
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• pp.95-106
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• 2007

The purpose of this study is to investigate the relationship between the implementation and the performance of the eSCM in internet shopping malls, and to suggest collaborated strategy for internet shopping malls. We performed the surveys of suppliers for 3 fashion-specialized internet shopping malls and 3 general internet shopping mall. Additional surveys was performed by surveying the shopping mall merchandisers to research the differences of understandings on the performance of the eSCM between shopping malls and their suppliers. Total 143 questionnaries were distributed and collected from January 23 to February 28, 2006 and analyzed by SPSS 10.0. The results are as follows; 1) the efficiency of eSCM is related the factors of partnership and information, and among the subordinated factors the understanding and support of the top management, good communications, product and operating information sharing were find out to be significant. 2) The effectiveness of eSCM is influenced by the organizational and partnership factor. As the subordinated factors, the understanding and supports of the top management, the participations of members, good communications, good relationship and supports, and the technology level of eSCM were identified as significant. 3) Examining the differences of understandings on the performance of eSCM between the suppliers and the shopping mall merchandisers, the suppliers and the merchandisers show different opinions on the operating efficiency, and the customer service.

• Industrial Engineering and Management Systems
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• 제8권3호
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• pp.194-200
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• 2009

This study provides a heuristic algorithm to solve the locating problem of repair service centers (RSCs). To enhance the customer service level with more satisfaction and quicker responsiveness, the locating problem of RSCs has become one of the important issues in reverse supply chain management. This problem is formulated as a zero-one mixed integer programming in which an exiting distributor will be considered to be an un-capacitated repair service center for the objective of cost-minimizing. Since logistical costs are highly interrelated with the multinational location of distributors and RSCs, the fixed cost for setting a repair service center, variable cost, transportation cost, and exchange rates are considered in this study. Recognizing the selection of un-capacitated RSCs' locations is a combinatorial optimization problem and is a zero-one mixed integer programming with NP-hard complexity, we provide a heuristic algorithm named as incremental cost matrix procedure (ICMP) to simplify the solving procedure. By using the concise and structural cost matrix, ICMP can efficiently screen the potential location with cost advantage and effectively decide which distributor should be a RSC. Results obtained from the numerical experiments conducted in small scale problem have shown the fact that ICMP is an effective and efficient heuristic algorithm for solving the RSCs locating problem. In the future, using the extended ICMP to solve problems with larger industrial scale or problems with congestion effects caused by the variation of customer demand and the restriction of the RSC capacity is worth a further investigation.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.1-6
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• 2021

For competitive hotel business, the hotel must have a sound prediction capability to balance the demand and supply of hospitality products. To have a sound prediction capability in the hotel, it should be prepared to be equipped with a new technology such as quantum computing. The quantum computing is a brand new cutting-edge technology. It will change hotel business and even the whole world too. Therefore, we study the impact of quantum computing on supply chain management (SCM) and hotel performance. Toward the goal we have developed the research model including six constructs: quantum (computing) prediction, communication, supplier relationship, service quality, non-financial performance, and financial performance. The result of the study shows a significant influence of quantum (computing) prediction on hotel performance through the mediating role of SCM in the hotel. Quantum prediction is highly significant in enhancing the SCM in the hotel. However, the direct effect between the quantum prediction and hotel performance is not significant. The finding indicates that hotels which would install the quantum computing technology and utilize the quantum prediction could hugely benefit from the performance improvement.

• 대한교통학회지
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• 제28권5호
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• pp.91-106
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• 2010

최근 유류비와 도로혼잡의 증가, 환경오염에 대한 높은 관심으로 인하여 공급체인에서 수송부분에 대한 다양한 이슈가 제시되고 있다. 특히, 공급자와 소매상에 유리한 전략들이 운송회사 입장에서도 반드시 유리하지 않다는 이슈가 제시되면서 다양한 연구가 시도되기 시작하였다. 그러므로 본 연구에서는 전통적인 공급체인분석 관점에서 벗어나 운송회사 입장에서 재고전략 및 네트워크 구성에 따른 공급체인의 운영특성을 파악하고, 그에 따른 운송회사의 운영환경을 해석하고자 한다. 분석방법은 가상의 공급체인을 구성하고, 각 네트워크(분산형, 집중형)구성에서 EOQ재고전략(Economic Order Quantity)과 POQ재고전략(Periodic Order Quantity)에 따른 배송차량의 운영특성(배송차량의 적재율, 소요대수, 운행시간 등)을 TranCAD프로그램을 이용하여 분석하였다. 분석결과, 재고전략이 EOQ 재고전략에서 POQ 재고전략으로 바뀌면 운송회사가 보유해야 하는 배송차량과 운전자의 수를 줄일 수 있었으며, 차량 운행시간이 감소하였다. 또한 네트워크 구성이 분산형에서 집중형으로 변경되면 차량 적재율이 향상되고 차량 운행시간이 감소하였다. 즉, 운송회사 입장에서는 분산형 네트워크에서 EOQ 재고전략을 이용하는 것보다는 집중형 네트워크를 구성하고 POQ 재고전략을 이용하는 것이 유리하다는 사실을 확인 할 수 있었으며, 이러한 효과는 월 1,300만원의 고정비와 월 260만원의 변동비 절감효과를 가져왔다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2005년도 추계학술대회 및 정기총회
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• pp.10-26
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• 2005

In our model, we keep inventory to satisfy uncertain demands which arrives irregularly. In this situation, we have additional two constraints. First, we need to have certain amount of order consolidation (consolidation constraint) for the orders to replenish the inventory because of production or purchase constraint. And also, if we order at a certain date which was set by administrative convenience, we have amount constraint to order the consolidated order demands (capacity constraint). We showed this variant inventory policy is needed in steel industry and note that there will be possible similar case in industry. To deal with this case, we invented a variant replenishment policy and show this policy is superior to other possible polices in the consolidation constraint case by extensive simulation. And we derive a combined solution method for dealing with the capacity constraints in addition to the consolidation constraints. For this, we suggest a combined solution method of integer programming and simulation.

• Journal of the Korean Statistical Society
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• 제4권1호
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• pp.79-87
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• 1975

However, the mechanism for producing revised estimate is the principal means of varying the resulting precisions of estimate. Therefore, a scheduling system including physician's revision should be checked by a computer simulation to evaluate possible gains to admissions scheduling accruing from the use of these estimates. The ability to accurately predict bed occupancy has long been an objective of hospital management. If the one were able to anticipate bed accupancy, then the one could more accurately plan for bed needs, schedule personnel, allocate service and supply. We may conclude that even though the Markov chain analysis would not lead to ready-made answers for the scheduling system of elective patients, it can provide the more detailed and systematic knowledgy for the solutions on the weekly base as well as the foundations for long run planning in relative sense.

• 한국경영과학회지
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• 제31권2호
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• pp.99-112
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• 2006

In our model, we keep inventory to satisfy uncertain demands which arrives irregularly. In this situation, we have additional two constraints. First, we need to have certain amount of order consolidation (consolidation constraint) for the orders to replenish the inventory because of production or purchase amount constraint. And also, if we order at a certain date which was set by administrative convenience, we have capacity constraint to order the consolidated order demands (capacity constraint). We show this variant inventory policy is needed in steel industry and note that there will be possible similar case in industry. To deal with this case, we invent a variant replenishment policy and show this policy is superior to other possible polices in the consolidation constraint case by extensive simulation. And we derive a combined solution method for dealing with the capacity constraints in addition to the consolidation constraints. For this, we suggest a combined solution method of integer programming and simulation.

• 한국프랜차이즈경영연구
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• 제2권1호
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• pp.61-73
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• 2011

Supermarket Franchising, as a relatively new mode of retail business, is often regarded as one of the two hallmarks of the "Modern Logistics Revolution". After more than ten years of development, franchise supermarkets have been a rising force in retail business in China. As a product of a highly-developed commercial economy, franchise supermarkets mainly deals in foodstuffs and other daily necessities, featuring low cost, high turnover rate, low prices and diversified inventory. Propelled by the conveniences that come with open shelves and self-service shopping, franchise supermarkets have been growing very rapidly and the rise of many franchise supermarket brands bears testimony to its growth potential and profitability. Meanwhile, in the backdrop of this boom, some franchise supermarkets are going bankrupt. This paper analyzes the current status of franchise supermarkets and some factors bearing on their core competencies, so as to close the competitiveness gap with international retail giants.

• 디지털산업정보학회논문지
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• 제15권1호
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• pp.1-7
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• 2019

The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.

• 디지털융복합연구
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• 제11권3호
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• pp.181-187
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• 2013

공급자와 소비자간의 정보공유는 기능 중심에서 프로세스 중심이 되면서, 유연성과 고객 서비스를 극대화하기 위한 새로운 물류 개념을 요구하게 되었다. 다시 말하면 원부자재의 조달에서부터 생산을 거쳐 고객에게 판매되기까지의 전 과정에 걸친 개체간의 수요와 공급의 사슬관계를 의미하는 공급망 내에서 정보, 자금 그리고 물의 흐름을 관리 통제하는 공급사슬경영(SCM)이 사업의 핵심역량으로 인식되고 있다. 또한 국내 기업들의 수 배송 업무의 합리화는 국내 기업 물류관리의 가장 중요한 과제중의 하나로 부각되고 있다. 물류센터로부터 각 거래처로 물품을 배달하는 배송업무의 경우에는 기업의 물류정보시스템이 상류 중심의 데이터 체계로 구축되어왔기 때문에 물류관리 업무의 합리화에 활용할 수 있는 기초 데이터 부재와 현실적인 제약조건들을 고려한 효율적인 자동배차 알고리듬을 적용하지 못했기 때문에 배차담당자들의 수작업 조정시간이 장시간 소요되었다. 따라서 본 논문에서는 현실적인 다양한 제약조건을 만족하고, 수작업 조정시간이 대폭 줄이면서, 우편중심 좌표를 이용한 차량별 근거리 그룹핑으로 자동배차 지원시스템의 휴리스틱 알고리듬을 설계하도록 한다.